<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0" article-type="research-article"><?xmltex \bartext{Model experiment description paper}?>
  <front>
    <journal-meta><journal-id journal-id-type="publisher">GMD</journal-id><journal-title-group>
    <journal-title>Geoscientific Model Development</journal-title>
    <abbrev-journal-title abbrev-type="publisher">GMD</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Geosci. Model Dev.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1991-9603</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/gmd-16-621-2023</article-id><title-group><article-title>A modern-day Mars climate in the Met Office Unified Model:<?xmltex \hack{\break}?> dry simulations</article-title><alt-title>Modern Mars in the Unified Model</alt-title>
      </title-group><?xmltex \runningtitle{Modern Mars in the Unified Model}?><?xmltex \runningauthor{D. McCulloch et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>McCulloch</surname><given-names>Danny</given-names></name>
          <email>dm575@exeter.ac.uk</email>
        <ext-link>https://orcid.org/0000-0002-6260-9570</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Sergeev</surname><given-names>Denis E.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-8832-5288</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Mayne</surname><given-names>Nathan</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Bate</surname><given-names>Matthew</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Manners</surname><given-names>James</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff1">
          <name><surname>Boutle</surname><given-names>Ian</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-1485-4475</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Drummond</surname><given-names>Benjamin</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Kohary</surname><given-names>Kristzian</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Department of Physics and Astronomy, University of Exeter, Exeter, EX4 4QL, UK</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Met Office, FitzRoy Road, Exeter, EX1 3PB, UK</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Danny McCulloch (dm575@exeter.ac.uk)</corresp></author-notes><pub-date><day>27</day><month>January</month><year>2023</year></pub-date>
      
      <volume>16</volume>
      <issue>2</issue>
      <fpage>621</fpage><lpage>657</lpage>
      <history>
        <date date-type="received"><day>29</day><month>July</month><year>2022</year></date>
           <date date-type="rev-request"><day>11</day><month>August</month><year>2022</year></date>
           <date date-type="rev-recd"><day>21</day><month>December</month><year>2022</year></date>
           <date date-type="accepted"><day>23</day><month>December</month><year>2022</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2023 Danny McCulloch et al.</copyright-statement>
        <copyright-year>2023</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023.html">This article is available from https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023.html</self-uri><self-uri xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023.pdf">The full text article is available as a PDF file from https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d1e154">We present results from the Met Office Unified Model (UM), a world-leading climate and weather model, adapted to simulate a dry Martian climate. We detail the adaptation of the basic parameterisations and analyse results from two simulations, one with radiatively active mineral dust and one with radiatively inactive dust. These simulations demonstrate how the radiative effects of dust act to accelerate the winds and create a mid-altitude isothermal layer during the dusty season. We validate our model through comparison with an established Mars model, the Laboratoire de Météorologie Dynamique planetary climate model (PCM), finding good agreement in the seasonal wind and temperature profiles but with discrepancies in the predicted dust mass mixing ratio and conditions at the poles. This study validates the use of the UM for a Martian atmosphere, highlights how the adaptation of an Earth general circulation model (GCM) can be beneficial for existing Mars GCMs and provides insight into the next steps in our development of a new Mars climate model.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e166">Understanding Mars' climate has been the motivation for many missions and numerical models for decades, and through these, many of the mechanisms driving the Martian climate have been unveiled. With our expanding comprehension of Mars' climate, studies have been able to build, refine and apply three-dimensional general circulation models (GCMs). Such models include, but are not limited to, the NASA AMES model <xref ref-type="bibr" rid="bib1.bibx82 bib1.bibx32" id="paren.1"/> and the Laboratoire de Météorologie Dynamique planetary climate model (PCM; see <xref ref-type="bibr" rid="bib1.bibx23 bib1.bibx65" id="altparen.2"/>). Through the use of numerical models we are able to characterise Mars with limited observational data, allowing us to simulate areas where observational data are limited <xref ref-type="bibr" rid="bib1.bibx84 bib1.bibx60" id="paren.3"/>. Through these efforts our understanding of many atmospheric processes has been refined, including the annual CO<inline-formula><mml:math id="M1" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> cycle <xref ref-type="bibr" rid="bib1.bibx22 bib1.bibx57 bib1.bibx1 bib1.bibx33 bib1.bibx38 bib1.bibx5" id="paren.4"/>, CO<inline-formula><mml:math id="M2" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> availability in the interest of terraforming <xref ref-type="bibr" rid="bib1.bibx43" id="paren.5"/>, its hydrological cycle <xref ref-type="bibr" rid="bib1.bibx39 bib1.bibx30 bib1.bibx10 bib1.bibx89 bib1.bibx90 bib1.bibx91 bib1.bibx80" id="paren.6"/>, its surface topography <xref ref-type="bibr" rid="bib1.bibx92 bib1.bibx85 bib1.bibx117" id="paren.7"/> and the effects of the climatically dominant dust cycle <xref ref-type="bibr" rid="bib1.bibx44 bib1.bibx107 bib1.bibx21 bib1.bibx106 bib1.bibx25 bib1.bibx4 bib1.bibx11" id="paren.8"/>. Simulations have been performed ranging in scale from global <xref ref-type="bibr" rid="bib1.bibx71 bib1.bibx100 bib1.bibx48" id="paren.9"/> to mesoscale levels <xref ref-type="bibr" rid="bib1.bibx67 bib1.bibx94 bib1.bibx76" id="paren.10"/>.</p>
      <p id="d1e219">There are, however, still processes which are difficult to capture in climate models. One of these is dynamically modelling annular shifts in CO<inline-formula><mml:math id="M3" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> freezing and thawing and the subsequent change in surface pressure this causes <xref ref-type="bibr" rid="bib1.bibx79 bib1.bibx23 bib1.bibx31 bib1.bibx44" id="paren.11"/>. Simulating this in a self-consistent way using a GCM is difficult, and efforts so far have relied on parameterisations (described by <xref ref-type="bibr" rid="bib1.bibx22 bib1.bibx23 bib1.bibx96 bib1.bibx91 bib1.bibx24" id="altparen.12"/>). Recent model developments by <xref ref-type="bibr" rid="bib1.bibx108" id="text.13"/> have included the CO<inline-formula><mml:math id="M4" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> effects dynamically, providing a promising avenue for the development of existing Martian GCMs. This is beneficial because it captures the secondary effects of CO<inline-formula><mml:math id="M5" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> precipitation between the atmosphere and surface as it descends. Another major challenge these GCMs face is accurately underpinning the cause of inter-annual dust storms and characterising dust-uplifting rates prior to and following the dust season <xref ref-type="bibr" rid="bib1.bibx70 bib1.bibx95 bib1.bibx21" id="paren.14"/>. Parameterising the methods for dust uplifting has been essential for simulating the climate and weather of Mars but has still required periodic manual adjustments in order to match observations <xref ref-type="bibr" rid="bib1.bibx69" id="paren.15"/>. This limits the efficacy and self-sufficiency of Martian climate models, leading to difficulty in simulating global dust storms that should occur without forcing across multiple years and difficulty in predicting more local dust storms. As <xref ref-type="bibr" rid="bib1.bibx108" id="text.16"/> have highlighted by dynamically solving for pressure variation as a consequence of CO<inline-formula><mml:math id="M6" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> precipitation, a more complete physical model capable  of capturing dust processes should also have beneficial feedback for the system.</p>
      <p id="d1e277">To work towards rectifying these gaps in our modelling capabilities, we have adapted the Unified Model (hereafter UM) to the study of the Martian climate as a foundation step in building a comprehensive Martian climate model complementary to existing modelling efforts. The UM is used routinely for Earth weather and climate modelling. It has also been used for other planetary climates, including Earth-like exoplanets <xref ref-type="bibr" rid="bib1.bibx8 bib1.bibx87 bib1.bibx16" id="paren.17"/>, hot Jupiters <xref ref-type="bibr" rid="bib1.bibx61 bib1.bibx51 bib1.bibx15" id="paren.18"/> and mini Neptunes <xref ref-type="bibr" rid="bib1.bibx62" id="paren.19"/>. By adapting the existing and well-tested Earth parameterisations to Martian conditions, we can model climate processes in comparative ways to existing Mars GCMs (e.g. the quantity of available dust and size of the particles in the atmosphere). Such steps are key if GCMs are to progress to characterising Mars' climate with less manual prescription of parameters <xref ref-type="bibr" rid="bib1.bibx21 bib1.bibx69" id="paren.20"/>. In this aspect, the UM is self-consistent, dynamically solving for dust availability and using that prognostically to simulate Martian dust content throughout the varying seasons. In this first study, we focus on a dry climate, including orography and dust, and highlight the importance of capturing dust accurately and its influences on the Martian climate. We also show that our adapted UM simulations capture key large-scale features of the Martian atmospheric circulation, including a periodic dust cycle without the prescription of fixed dust parameters.</p>
      <p id="d1e292">In this paper, we present a description of the UM and the adaptations made for the Martian climate (Sect. <xref ref-type="sec" rid="Ch1.S2"/>). That is, we describe the key model adaptations to simulate a dry Martian climate, such as planetary variables (atmospheric composition and orbital parameters, Sect. <xref ref-type="sec" rid="Ch1.S2.SS1"/>), radiative transfer (Sect. <xref ref-type="sec" rid="Ch1.S2.SS2"/>), orography (Sect. <xref ref-type="sec" rid="Ch1.S2.SS3"/>), dust (Sect. <xref ref-type="sec" rid="Ch1.S2.SS4"/>) and atmospheric surface pressure (Sect. <xref ref-type="sec" rid="Ch1.S4.SS1"/>). In Sect. <xref ref-type="sec" rid="Ch1.S3"/> we describe how we configure the UM output for analysis, including a configuration for two scenarios where one features radiatively active Martian dust (RA dust) and one has radiatively inactive dust (RI dust). In Sect. <xref ref-type="sec" rid="Ch1.S4"/> we present results from the two configurations of the UM for Mars and validate the UM with RA dust against the PCM. We highlight how differences in dust parameterisation create differences between outputs, both within the UM scenarios and between the RA UM and PCM, and then discuss the reasons for these and their implications. Finally, in Sect. <xref ref-type="sec" rid="Ch1.S5"/>, we discuss how the model can be further developed to improve its accuracy, mainly via the inclusion of schemes capturing the effects of CO<inline-formula><mml:math id="M7" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> ice and water vapour planned in future work.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Model description</title>
      <p id="d1e331">For this study, we take the Global Atmosphere 7.0 science configuration of the UM <xref ref-type="bibr" rid="bib1.bibx105" id="paren.21"/> and adapt it to Martian conditions. The UM dynamical core (ENDGame, described by <xref ref-type="bibr" rid="bib1.bibx113" id="altparen.22"/>) simulates the atmosphere as a non-hydrostatic fully compressible fluid and its numerical formulation uses a semi-implicit timestep and semi-Lagrangian advection scheme <xref ref-type="bibr" rid="bib1.bibx6" id="paren.23"/>. A full description of the model's dynamical core is given by <xref ref-type="bibr" rid="bib1.bibx97 bib1.bibx98" id="text.24"/> and <xref ref-type="bibr" rid="bib1.bibx113" id="text.25"/>, with a global climate configuration further detailed by <xref ref-type="bibr" rid="bib1.bibx105" id="text.26"/>. The benefit of using existing schemes in a GCM instead of creating new ones is that they capture essential atmospheric physics and are verified under a variety of conditions (e.g. dust on exoplanets; <xref ref-type="bibr" rid="bib1.bibx9" id="altparen.27"/>). Figure <xref ref-type="fig" rid="Ch1.F1"/> shows an illustrative example of output from the UM configuration used to simulate the Martian climate.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e360">Overview three-dimensional plot of example output during Southern Hemisphere summer (<inline-formula><mml:math id="M8" display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">260</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M9" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>). Included is a segment of the extracted regional dust layer as an isosurface, wind vectors at 1 km height (arrows) and orography. Grid cells are cropped to 30 km. Higher-resolution GIF and code are available at <uri>https://github.com/dannymcculloch/3d_Mars_gif</uri> (last access: 16 January 2023). Made with PyVista <xref ref-type="bibr" rid="bib1.bibx101" id="paren.28"/>.</p></caption>
        <?xmltex \igopts{width=224.776772pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f01.jpg"/>

      </fig>

      <p id="d1e398">The UM grid configuration used in the present study has 90 by 144 grid points, corresponding to a resolution of 2<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> in latitude and 2.5<inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> in longitude (i.e. a grid spacing of 118 and 147.5 km at the equator, respectively). This resolution allows us to accurately capture climate trends at a relatively high spatial resolution <xref ref-type="bibr" rid="bib1.bibx23 bib1.bibx108" id="paren.29"/>, with even higher spatial resolutions available at the cost of increased computational power. This resolution is suitable for observing seasonal patterns within the Martian year <xref ref-type="bibr" rid="bib1.bibx71 bib1.bibx56 bib1.bibx83" id="paren.30"/>, but higher spatial resolutions could readily be used to investigate selective regional climates (see for example <xref ref-type="bibr" rid="bib1.bibx87" id="altparen.31"/>) – a promising prospect for future applications.</p>
      <p id="d1e429">In the vertical, we adopt 50 hybrid-height atmospheric levels up to a model top of 80 km above the areoid level. We use a quadratically stretched grid to enhance resolution near the surface. Levels nearer the surface follow the terrain but are smoothed out gradually as the height increases, reaching a constant level height towards the highest altitudes (for our study this happens at <inline-formula><mml:math id="M12" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 52 km, <xref ref-type="bibr" rid="bib1.bibx113" id="altparen.32"/>). The level heights can be seen in Table <xref ref-type="table" rid="App1.Ch1.S1.T3"/>, where values are shown for a point with 0 m surface height.</p>
      <p id="d1e444">For this study we use planetary parameters (Sect. <xref ref-type="sec" rid="Ch1.S2.SS1"/>), radiative transfer effects (Sect. <xref ref-type="sec" rid="Ch1.S2.SS2"/>), orography (Sect. <xref ref-type="sec" rid="Ch1.S2.SS3"/>), prognostic dust (Sect. <xref ref-type="sec" rid="Ch1.S2.SS4"/>) and pressure (Sect. <xref ref-type="sec" rid="Ch1.S4.SS1"/>) set to Martian values, with more description of each process in the respective section.</p>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Planetary parameters</title>
      <p id="d1e464">Mars has an eccentric orbit (<inline-formula><mml:math id="M13" display="inline"><mml:mrow><mml:mi>e</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.0934</mml:mn></mml:mrow></mml:math></inline-formula> compared to Earth's <inline-formula><mml:math id="M14" display="inline"><mml:mrow><mml:mi>e</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.0167</mml:mn></mml:mrow></mml:math></inline-formula>) leading to an annual oscillation in the received irradiation. To capture this in the UM, we configure the model to run with this orbit starting from <inline-formula><mml:math id="M15" display="inline"><mml:mrow><mml:mn mathvariant="normal">0</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the ecliptic longitude of the Sun),  and <inline-formula><mml:math id="M17" display="inline"><mml:mrow><mml:mn mathvariant="normal">0</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> corresponds to Northern Hemisphere (NH) spring equinox. We use the stellar output for the present-day Sun, but our simulated planet is placed at the Martian distance. Table <xref ref-type="table" rid="Ch1.T1"/> shows the values we implement for Mars' planetary values.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e542">Orbital, planetary and atmospheric parameters in our simulations.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="2">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Constant</oasis:entry>
         <oasis:entry colname="col2">Value</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Epoch (Julian date)</oasis:entry>
         <oasis:entry colname="col2">2451545.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Eccentricity</oasis:entry>
         <oasis:entry colname="col2">0.0934</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Obliquity (radian)</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M18" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.4397</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Mean acceleration due to gravity (m s<inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">3.711</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Solar irradiance at 1 AU (W m<inline-formula><mml:math id="M20" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">1361.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Semi-major axis (AU)</oasis:entry>
         <oasis:entry colname="col2">1.52368</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Angular speed of planet rotation (radian s<inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M22" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">7.0882</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Radius (km)</oasis:entry>
         <oasis:entry colname="col2">3389.5</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Radiative transfer</title>
      <p id="d1e710">To calculate radiative transfer, we use the SOCRATES radiation scheme (described by <xref ref-type="bibr" rid="bib1.bibx17 bib1.bibx105" id="altparen.33"/>). This scheme uses a two-stream correlated-<inline-formula><mml:math id="M23" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> method as described by <xref ref-type="bibr" rid="bib1.bibx105" id="text.34"/> and references therein. This scheme has been used extensively for studies of Earth <xref ref-type="bibr" rid="bib1.bibx93" id="paren.35"/>, in addition to hot Jupiters <xref ref-type="bibr" rid="bib1.bibx61" id="paren.36"/>, sub-Neptunes <xref ref-type="bibr" rid="bib1.bibx15" id="paren.37"/> and rocky exoplanets <xref ref-type="bibr" rid="bib1.bibx9 bib1.bibx16" id="paren.38"/>.</p>
      <p id="d1e739">For radiative properties, we use an adapted version of the ROCKE-3D spectral files<fn id="Ch1.Footn1"><p id="d1e742">Files “sp_sw_42_dsa_mars_sun” and “sp_lw_17_dsa_mars”, available at  <uri>https://portal.nccs.nasa.gov/GISS_modelE/ROCKE-3D/spectral_files/</uri> (last access: 14 November 2022).</p></fn>, which are appropriate for the CO<inline-formula><mml:math id="M24" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>-rich Martian atmosphere. We then added dust optical properties based on parameterisation from <xref ref-type="bibr" rid="bib1.bibx105" id="text.39"/>. Mars' atmosphere primarily consists of CO<inline-formula><mml:math id="M25" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (<inline-formula><mml:math id="M26" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 95 %), N<inline-formula><mml:math id="M27" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (1.89 %) and Ar (<inline-formula><mml:math id="M28" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 1.93 %) <xref ref-type="bibr" rid="bib1.bibx84 bib1.bibx60" id="paren.40"/>; we simplify this to 95 % CO<inline-formula><mml:math id="M29" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and 5 % N<inline-formula><mml:math id="M30" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> in our simulations. Ar was omitted in this study as the effects would be minimal on seasonal averages. The prescribed gas ratios throughout the atmosphere are assumed to be well mixed <xref ref-type="bibr" rid="bib1.bibx105" id="paren.41"/>.</p>
      <p id="d1e818">The Martian atmosphere features small amounts of water vapour which are generally increased during the colder aphelion months <xref ref-type="bibr" rid="bib1.bibx72" id="paren.42"/>. This humidity affects the radiative transfer in every layer through water vapour molecules and cloud condensate  <xref ref-type="bibr" rid="bib1.bibx89 bib1.bibx99 bib1.bibx90 bib1.bibx20" id="paren.43"/>. Mars has water ice clouds which influence radiative transfer between the surface and the upper atmosphere (e.g. <xref ref-type="bibr" rid="bib1.bibx71" id="altparen.44"/>). For our set-up, we use a completely dry atmosphere and surface. This is done to simplify the dust-uplifting processes and to be able to correctly capture Martian seasonal trends initially. This allows for a benchmark comparison which can be expanded on in future studies, with a similar approach being carried out by <xref ref-type="bibr" rid="bib1.bibx103" id="text.45"/>.</p>
      <p id="d1e833">In addition, we also use the terrain-shading scheme described by <xref ref-type="bibr" rid="bib1.bibx58" id="text.46"/>, which corrects the surface insolation depending on the zenith angle and obstructing elevation. This allows for a better representation of the effect that Martian orographical extremes have on their surroundings, e.g. the lone peak from Elysium Mons (25.02<inline-formula><mml:math id="M31" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N 147.21<inline-formula><mml:math id="M32" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) casting a large shadow on the Northern Lowlands or the depths of the Valles Marineris canyon often being in a shade.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Orography and surface</title>
      <p id="d1e865">Orography affects various aspects of the Martian climate such as dust deposition and global circulation <xref ref-type="bibr" rid="bib1.bibx92 bib1.bibx117 bib1.bibx83" id="paren.47"/>. Dominant orographic features include the Tharsis region and Hellas Basin but also a general hemispheric dichotomy featuring a higher southern hemisphere that gradually descends northward <xref ref-type="bibr" rid="bib1.bibx85" id="paren.48"/>. Mars' hemispheric asymmetry heavily influences the atmospheric circulation, leading to large seasonal differences amplified by Mars' orbital eccentricity <xref ref-type="bibr" rid="bib1.bibx85 bib1.bibx117" id="paren.49"/>. Therefore, in order to better characterise Mars' climate and atmospheric processes, correctly capturing the surface elevation hemispheric dichotomy in Martian climate models is important <xref ref-type="bibr" rid="bib1.bibx117" id="paren.50"/>.</p>
      <p id="d1e880">For this study, we use the sub-grid orographic drag parameterisation already present and verified in the UM (as described in detail by <xref ref-type="bibr" rid="bib1.bibx54 bib1.bibx109 bib1.bibx104 bib1.bibx105" id="altparen.51"/>) but for Martian values. This parameterisation allows for inter-grid-cell shading caused by areas of higher elevation (e.g. the upper edges of the Valles Marineris shading the crevice below). We obtained the widely used, high-resolution MOLA elevation data (Fig. <xref ref-type="fig" rid="Ch1.F2"/>a, described by <xref ref-type="bibr" rid="bib1.bibx92" id="altparen.52"/>)<fn id="Ch1.Footn2"><p id="d1e891">MOLA dataset available at <uri>https://astrogeology.usgs.gov/search/map/Mars/Topography/HRSC_MOLA_Blend/Mars_HRSC_MOLA_BlendDEM_Global_200mp_v2</uri> (last access: 15 June 2022).</p></fn>. We regrid the MOLA dataset to the resolution used in the current study. We choose to use the resolution of <inline-formula><mml:math id="M33" display="inline"><mml:mrow><mml:mn mathvariant="normal">90</mml:mn><mml:mo>×</mml:mo><mml:mn mathvariant="normal">144</mml:mn></mml:mrow></mml:math></inline-formula> as it allows for an adequate global representation needed to simulate global climate patterns present on Mars. In regridding, the cells from the original dataset that encompass a single grid cell are averaged, which leads to some height loss at the highest peaks, where sub-grid elevation is varied. The effects of the regridding can be seen in Fig. <xref ref-type="fig" rid="Ch1.F2"/>b, where the MOLA dataset is compared to the regridded version. There is some inevitable height smoothing with regridding: Olympus Mons changes from 25 km height to 19 km and the lowest parts of the Hellas Basin from <inline-formula><mml:math id="M34" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7.5</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M35" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7.3</mml:mn></mml:mrow></mml:math></inline-formula> km.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e935">Original MOLA elevation data <bold>(a)</bold> compared to the regridded elevation data used in the UM <bold>(b)</bold>. Colour scales are matching between plots.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f02.png"/>

        </fig>

      <p id="d1e951">For surface albedo, we assume a uniform value of 0.3. Although this is higher than the average albedo for Mars (<inline-formula><mml:math id="M36" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0.16 <xref ref-type="bibr" rid="bib1.bibx49" id="altparen.53"/>), this was chosen as it compensates for the lack of polar CO<inline-formula><mml:math id="M37" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> ice (which has an albedo of <inline-formula><mml:math id="M38" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.5).
For surface thermal inertia, we use a constant value of 368.646 J m<inline-formula><mml:math id="M39" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> K<inline-formula><mml:math id="M40" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M41" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> across the surface (prescribed as a thermal capacity of <inline-formula><mml:math id="M42" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.359</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> J m<inline-formula><mml:math id="M43" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> K<inline-formula><mml:math id="M44" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), which is representative of the majority of the Martian surface <xref ref-type="bibr" rid="bib1.bibx49 bib1.bibx81 bib1.bibx64" id="paren.54"/>.</p>
</sec>
<sec id="Ch1.S2.SS4">
  <label>2.4</label><title>Dust and surface roughness</title>
      <p id="d1e1067">Dust is synonymous with Mars: it is a key driver in a wide range of atmospheric phenomena, ranging from mesoscale dust devils, effective at uplifting local surface dust <xref ref-type="bibr" rid="bib1.bibx73" id="paren.55"/>, to global dust storms affecting global temperatures for long periods of time <xref ref-type="bibr" rid="bib1.bibx21 bib1.bibx106 bib1.bibx100" id="paren.56"/>. Dust is a crucial contributor to the greenhouse effect on Mars. Because of this, large fluctuations in atmospheric dust content can have serious effects on the lower-altitude temperatures (below <inline-formula><mml:math id="M45" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 25 km) during global dust storms and have been well described by <xref ref-type="bibr" rid="bib1.bibx100" id="text.57"/> and <xref ref-type="bibr" rid="bib1.bibx107" id="text.58"/>. Dust also affects the diurnal cycle of temperatures, retaining thermal radiation during the night and reflecting solar radiation during the day <xref ref-type="bibr" rid="bib1.bibx56" id="paren.59"/>.
The dust quantities vary across the Martian year, with months 6 to 12 (month timings shown in Table <xref ref-type="table" rid="App1.Ch1.S1.T2"/>) having much higher atmospheric dust than the other months <xref ref-type="bibr" rid="bib1.bibx21" id="paren.60"/>. Months 1 to 6 are generally colder on Mars, leading to weaker wind speeds and subsequently less dust uplifting during the colder months. Intra-annual shifts from the dust storm season to a colder less dusty season are difficult to self-consistently capture in three-dimensional GCMs <xref ref-type="bibr" rid="bib1.bibx56 bib1.bibx21" id="paren.61"/>.</p>
      <p id="d1e1101">We adapt the dust scheme available in the UM, which handles dust parameterisation using nine particle radial size bins (0.03–1000 <inline-formula><mml:math id="M46" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m). A normalised distribution characterising the surface dust is set, with the values in bins 1–6 (0.03–30 <inline-formula><mml:math id="M47" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m) prescribed and the remaining dust equally distributed across bins 7–9 (30–1000 <inline-formula><mml:math id="M48" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m). This is described in detail by <xref ref-type="bibr" rid="bib1.bibx59" id="text.62"/> and <xref ref-type="bibr" rid="bib1.bibx114 bib1.bibx115" id="text.63"/>, and an example of its application in a non-Earth climate can be seen in <xref ref-type="bibr" rid="bib1.bibx9" id="text.64"/>. Atmospheric dust is absent upon initialisation and is calculated throughout the model simulation.
Dust particles are transported by atmospheric dynamics, turbulence <xref ref-type="bibr" rid="bib1.bibx52" id="paren.65"/>, saltation (for uplifting larger particles, <xref ref-type="bibr" rid="bib1.bibx114 bib1.bibx116" id="altparen.66"/>) and dry deposition. Absorption and scattering of short-/long-wave radiation is calculated using Mie theory with the assumption that dust particles are spherical.</p>
      <p id="d1e1144">To determine the size distribution for the respective dust bins in the UM for Mars, we applied the same formula as used in the second scenario by <xref ref-type="bibr" rid="bib1.bibx56" id="text.67"/>, namely
            <disp-formula id="Ch1.E1" content-type="numbered"><label>1</label><mml:math id="M49" display="block"><mml:mrow><mml:mi>n</mml:mi><mml:mo>(</mml:mo><mml:mi>r</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mi>N</mml:mi><mml:mrow><mml:msqrt><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">π</mml:mi></mml:mrow></mml:msqrt><mml:mspace width="0.33em" linebreak="nobreak"/><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mspace linebreak="nobreak" width="0.33em"/><mml:mi>r</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mi>exp⁡</mml:mi><mml:mfenced close="]" open="["><mml:mrow><mml:mo>-</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mn mathvariant="normal">1</mml:mn><mml:mn mathvariant="normal">2</mml:mn></mml:mfrac></mml:mstyle><mml:msup><mml:mfenced open="(" close=")"><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi>ln⁡</mml:mi><mml:mo>(</mml:mo><mml:mi>r</mml:mi><mml:mo>/</mml:mo><mml:msub><mml:mi>r</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M50" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> is the potential size of the dust particle, between 0.03 and 30 microns. <inline-formula><mml:math id="M51" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is the variance and <inline-formula><mml:math id="M52" display="inline"><mml:mrow><mml:msub><mml:mi>r</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is the mean, given by <xref ref-type="bibr" rid="bib1.bibx56" id="text.68"/> as 0.3 and 1.5 <inline-formula><mml:math id="M53" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m, respectively. <inline-formula><mml:math id="M54" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> is the normalised maximum (to unity) number of particles available and <inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>(</mml:mo><mml:mi>r</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> is the probability of dust radii being present dependent on <inline-formula><mml:math id="M56" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>. This provides the distribution presented in Fig. <xref ref-type="fig" rid="Ch1.F3"/>, giving the probable radial size of any given particle. The dust bin size ranges used have been overlaid with coloured bars for each bin. The majority of dust resides in bin 4, but all bins are used in this study.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e1302">Dust size probability distribution used for the UM following <xref ref-type="bibr" rid="bib1.bibx56" id="text.69"/>. Dust bin ranges are shown by the coloured bars.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f03.png"/>

        </fig>

      <p id="d1e1314">Dust production, uplifting and deposition are all characterised dynamically throughout the simulation. For dust production, upon initialisation, the surface is assumed to have an infinite amount of available dust to be uplifted. Dust production for a particle at rest is dictated by weight (primarily driven by particle size and composition), interparticle cohesion forces and wind shear stress along the surface <xref ref-type="bibr" rid="bib1.bibx59" id="paren.70"/>. As the set-up is completely dry in the current configuration and we use a dry sand composition, the main factor which will impact dust production in this scenario is the particle size.</p>
      <p id="d1e1320">Dust uplifting is primarily driven by aeolian processes. Dust that has been freed from the surface is then transported via turbulent eddies (“suspension”), saltation and creeping. The ability for particles of a given size to be uplifted is proportional to their weight against the aerodynamic drag experienced <xref ref-type="bibr" rid="bib1.bibx59 bib1.bibx114" id="paren.71"/>. Further dust uplifting as a consequence of saltation and creeping is influenced by the aerodynamic roughness length, which dictates how much dust is further uplifted via the impact of larger particles. This threshold value thus dictates how easy it is for smaller dust particles to be uplifted following an impact via saltation or creeping from a larger particle (<inline-formula><mml:math id="M57" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M58" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m in an Earth atmosphere; <xref ref-type="bibr" rid="bib1.bibx59" id="altparen.72"/>). In the UM, horizontal dust flux is a tunable parameter. In this study, the horizontal dust flux was tuned to 7.5 to match atmospheric dust levels in the PCM for month 9. Initial testing of this parameter with different values did not change the distribution of the uplifted dust but solely changed the amount of uplifted dust in the localised regions.</p>
      <p id="d1e1347">In the UM, we use the aerodynamic roughness length map from <xref ref-type="bibr" rid="bib1.bibx35" id="text.73"/>, shown in Fig. <xref ref-type="fig" rid="Ch1.F4"/>. This aerodynamic surface roughness threshold value could be set to a constant value in order to make sure that dust is being uplifted equally across the planet, but this is likely to oversimplify the climate. By using these values, we are able to simulate regional dust production dispersion, as opposed to a globally uniform dust production rate <xref ref-type="bibr" rid="bib1.bibx35" id="paren.74"/>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e1360">Surface roughness map from <xref ref-type="bibr" rid="bib1.bibx35" id="text.75"/> (left) and how it is represented in the UM after regridding (right).</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f04.png"/>

        </fig>

      <p id="d1e1373">For dust optical properties, we used Earth dust optical values as shown in Table <xref ref-type="table" rid="App1.Ch1.S1.T4"/> and described in <xref ref-type="bibr" rid="bib1.bibx3" id="text.76"/>. These values are primarily used for Earth dust, but as these values are highly similar to those used by <xref ref-type="bibr" rid="bib1.bibx56" id="text.77"/> and references therein, they were not changed.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Experimental set-up</title>
      <p id="d1e1393">We initialise the UM from a motionless atmospheric state with a uniform surface temperature of 250 K and a surface pressure of 610 Pa. Other variable schemes are also initialised at this stage (orography, Sect. <xref ref-type="sec" rid="Ch1.S2.SS3"/>, and dust, Sect. <xref ref-type="sec" rid="Ch1.S2.SS4"/>). The model is then integrated for 40 Martian years to achieve a steady state, which is determined as there being no inter-annual increase or decrease in the balance between incoming and outgoing radiation at the top of the atmosphere (TOA) between Martian years (with years averaged to omit for differences caused by orbit eccentricity). This also allows for localised prognostic dust reservoirs to form, with the model developing from a uniform surface dust amount (upon initialisation) to an atmosphere and surface with dust content as a consequence of the previous year's dust cycle. Thus, by the end of the 40-year period, the distribution of surface dust is non-uniform and features localised areas of high and low dust abundance. After this, the model is run for another Martian year, and this final year's data are what is presented in this paper. The model output is provided with every sol across a Martian year (668 sols/687 d). A sol is defined here as 24 h and 40 min (simplified from a Martian solar day of 24 h, 39 min and 35 s). For each model diagnostic, values are recorded every 5 min (20 min for radiation variables, e.g. TOA radiation flux) and are then averaged at the end of each sol. The year starting at 0<inline-formula><mml:math id="M59" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is then run for 688 Earth days, taking an average across the sol. These sol outputs are then aggregated into Martian months (Table <xref ref-type="table" rid="App1.Ch1.S1.T2"/>); this is done to better understand seasonal trends across the year and to match the data to time distributions present in other models <xref ref-type="bibr" rid="bib1.bibx23" id="paren.78"/>.</p>
      <p id="d1e1426">To discern the effects of dust in the UM, we perform two separate simulations, one with radiatively active (RA) dust and one with radiatively inactive (RI) dust. Both set-ups are identical in every other way (e.g. spin-up time, orography, orbital parameters). For RI dust, the dust sizes and quantities are still prescribed, but all radiative effects of dust are switched off. This allows us to observe the effects of a dust scheme in our Mars set-up vs. what would already occur without the presence of atmospheric dust. This is useful for a variety of reasons. It allows us to highlight spatial/temporal regions of interest where dust might originate from, particularly where there are differences between scenarios. It also allows us to begin to distinguish the exclusive influence of dust, as any differences between scenarios can be attributed to this one variable.</p>
      <p id="d1e1429">To ensure that the UM reproduces seasonal patterns with sufficient accuracy, we compare our results to those of an established Mars GCM. In this study, we use year average (an average of all years where a dust storm did not occur) results from the Mars Climate Database<fn id="Ch1.Footn3"><p id="d1e1432">Available at <uri>http://www-mars.lmd.jussieu.fr/</uri> (last access: 6 March 2022).</p></fn>, which provides output from the PCM <xref ref-type="bibr" rid="bib1.bibx23 bib1.bibx65" id="paren.79"/>. This dataset has 49 points in latitude and 64 points in longitude, with 30 layers in the vertical extending up to 108 km. The output is also separated into the same Martian months as prescribed in the UM (e.g. Martian month 1 <inline-formula><mml:math id="M61" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> sols 0 to 61, as per Table <xref ref-type="table" rid="App1.Ch1.S1.T2"/>). It features dust <xref ref-type="bibr" rid="bib1.bibx56" id="paren.80"/>, a hydrological cycle <xref ref-type="bibr" rid="bib1.bibx71" id="paren.81"/>, a CO<inline-formula><mml:math id="M62" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> ice cycle <xref ref-type="bibr" rid="bib1.bibx22 bib1.bibx23" id="paren.82"/>, atmospheric ozone <xref ref-type="bibr" rid="bib1.bibx50" id="paren.83"/> and an upper atmosphere layer above 80 km <xref ref-type="bibr" rid="bib1.bibx13 bib1.bibx28" id="paren.84"/>.</p>
      <p id="d1e1476">The PCM uses a terrain-following pressure-based vertical coordinate <inline-formula><mml:math id="M63" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>=</mml:mo><mml:mi>p</mml:mi><mml:mo>/</mml:mo><mml:msub><mml:mi>p</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, where <inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:msub><mml:mi>p</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M65" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> are the surface pressure and atmospheric pressure respectively, which is different to the UM's height-based vertical coordinate <xref ref-type="bibr" rid="bib1.bibx23 bib1.bibx113" id="paren.85"/>. This presents a difficulty in precise comparison between model simulations, as results cannot be compared straightforwardly without some form of interpolation. Furthermore, the UM and PCM have different upper boundaries, which require datasets to be cropped until the height is matched. Therefore, to validate our model against the PCM, we linearly interpolate the UM output to <inline-formula><mml:math id="M66" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> levels at each output timestep, focusing on the levels where there is sufficient data for both models at the same pressure (<inline-formula><mml:math id="M67" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> ranging from 1 at the surface to 0.01 in the upper atmosphere). As we are concerned with the large-scale seasonal climate we compare zonal, monthly averages of the UM outputs to those of the PCM.</p>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Results</title>
      <p id="d1e1542">In the following sections, we show Mars' annual mean pressure observations at the <italic>Viking</italic> lander sites compared to the UM (Sect. <xref ref-type="sec" rid="Ch1.S4.SS1"/>). We then describe Mars' climate seasonality and how this is portrayed in simulations (Sect. <xref ref-type="sec" rid="Ch1.S4.SS2"/>). We then highlight the key differences between the RA dust scenario and PCM in more detail (Sect. <xref ref-type="sec" rid="Ch1.S4.SS3"/>). In particular, we focus on dust differences in our results and discuss further the implications of this (Sect. <xref ref-type="sec" rid="Ch1.S4.SS3.SSS3"/>).</p>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Atmospheric pressure</title>
      <p id="d1e1563">Mars undergoes annual fluctuations in surface pressure, decreasing during colder months and increasing during the dust season. This is mainly due to the net freezing and thawing of polar ice caps, which extract and release atmospheric CO<inline-formula><mml:math id="M68" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, respectively. The mean surface pressure on Mars is much lower than on Earth, resulting in large diurnal temperature fluctuations and limiting dust loading capacity <xref ref-type="bibr" rid="bib1.bibx84 bib1.bibx60" id="paren.86"/> due to less heat retention from the atmosphere. To show how pressure fluctuates in the UM, we show surface pressure across the Martian year at the approximate <italic>Viking</italic> lander sites in the model compared to observational data from the landers. The values from the UM are not from the exact spatial location of the landers, due to their positions being within grid cells, but instead are the closest data points to where the landers would be in the UM. Figure <xref ref-type="fig" rid="Ch1.F5"/> shows that the UM-observed pressure near the <italic>Viking</italic> lander 1 and 2 (VL1 and VL2) sites remains steady during the colder months and increases during the dust season. As the UM does not currently have a CO<inline-formula><mml:math id="M69" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> ice cycle, this cold season pressure drop present in observations is absent. This leads to a high disparity of pressures between sols 130 and 410 between simulated and observed pressures. The UM does capture a minor pressure increase during sols 410–530 despite the lack of a CO<inline-formula><mml:math id="M70" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> ice scheme. This increase in pressure is likely due to a temperature increase as a result of higher solar radiation. The absence of a pressure decrease during months 2–6 would suggest that this could potentially be a secondary feedback effect caused by heating from atmospheric dust. Since atmospheric dust quantities are much lower in the colder months, their effect is minimal, but as dust abundance increases, the magnitude of the effect of it is amplified, increasing pressure further.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e1607">UM surface pressure at approximate <italic>Viking</italic> lander 1 and <italic>Viking</italic> lander 2 sites compared to observational data across a Martian year. <italic>Viking</italic> lander data available from <xref ref-type="bibr" rid="bib1.bibx102" id="text.87"/>.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f05.png"/>

        </fig>

      <p id="d1e1628">Accurate surface pressure is important for characterising the climate, as it affects processes such as the thermal capacity of the atmosphere and transport of material (such as dust) across hemispheres <xref ref-type="bibr" rid="bib1.bibx26 bib1.bibx40 bib1.bibx41 bib1.bibx84 bib1.bibx60" id="paren.88"/>. Figure <xref ref-type="fig" rid="Ch1.F6"/> shows surface pressure across the year for the UM RA and PCM outputs. It shows that interaction observed in Fig. <xref ref-type="fig" rid="Ch1.F5"/> but as it occurs across the planet. In general, the UM RA features higher pressure than the PCM, especially in month 6 just after when atmospheric pressures are at their lowest (median sol of month 6 is sol 345). Surface pressures are most similar during month 9, with the majority of the planet featuring equal or slightly lower pressures than the PCM. There are, however, regions of extreme pressure difference in month 9. The UM possesses higher surface pressure in the depths of the Valles Marineris and lower pressure at the peak of Olympus Mons and at the NH pole. The causes of these localised pressure differences are likely the differences in orography used in the UM and PCM, with the UM having higher peaks and deeper channels.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e1641">Surface pressure (Pa) across four seasons within the Martian year. For each month, the time average is taken of all sols within that month. The RA dust scenario is shown on the left, the PCM output is in the centre and the differences between the RA and PCM outputs are on the right. Colour scales in the left-hand and centre plots are matched across all months and between models with contour intervals of 150 Pa. The colour scales in the difference plots are also matched across all months. Contours are not shown due to the sharp changes in pressure around craters creating steep differences within a small area.</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f06.jpg"/>

        </fig>

</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Overview of a year of Martian climate</title>
      <p id="d1e1658">To compare the results between RA dust, RI dust and the PCM, we show outputs of four atmospheric variables for months 3, 6, 9 and 12 (sol breakdown given in Table <xref ref-type="table" rid="App1.Ch1.S1.T2"/>). Output is meaned zonally and temporally across the sols of the given month. The variables are zonal (eastward) winds (Fig. <xref ref-type="fig" rid="Ch1.F7"/>), meridional (northward) winds (Fig. <xref ref-type="fig" rid="Ch1.F8"/>), temperature (Fig. <xref ref-type="fig" rid="Ch1.F9"/>) and dust mass mixing ratio (MMR, Fig. <xref ref-type="fig" rid="Ch1.F10"/>). The <inline-formula><mml:math id="M71" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>×</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula> format and month dates are consistent throughout the figures<fn id="Ch1.Footn4"><p id="d1e1684">Additional figures are provided in the Appendix that compares only two models at once (i.e. RA–RI and RA–PCM); these plots allow for better one-to-one comparison between the RA output and RI/PCM outputs.</p></fn>. We explain the development of Mars' climate across a typical year and how this is simulated in our results, and we then compare these outputs across simulations.</p>
<sec id="Ch1.S4.SS2.SSS1">
  <label>4.2.1</label><?xmltex \opttitle{Month 3: $L_{\mathrm{s}}$ 60--90{${}^{{\circ}}$}}?><title>Month 3: <inline-formula><mml:math id="M72" display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> 60–90<inline-formula><mml:math id="M73" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></title>
      <p id="d1e1715">During this period, Mars is close to its coldest. NH temperature maxima are <inline-formula><mml:math id="M74" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 220 K at the northerly latitudes for both scenarios, zonal and meridional winds are slower and uplifted dust quantities are low. Temperatures drop due to Mars' orbit taking the planet away from the Sun, which leads to a reduction in solar radiation and a net cooling for the atmosphere and surface. This leads to a variety of secondary effects occurring on Mars. In reality, CO<inline-formula><mml:math id="M75" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> begins to freeze more quickly than it thaws on the opposite pole, leading to a global pressure reduction as CO<inline-formula><mml:math id="M76" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> is sequestered from the atmosphere, though this is not currently simulated. Temperatures vary throughout the Martian year, but averages are lowest during aphelion months (Fig. <xref ref-type="fig" rid="Ch1.F9"/>, month 3) and highest during the dust season (Fig. <xref ref-type="fig" rid="Ch1.F9"/>, month 9). Temperature oscillation caused by Mars' eccentric orbit does not seemingly have a direct impact on atmospheric pressure in the UM, as surface pressure remains consistent across aphelion months (sols <inline-formula><mml:math id="M77" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 150 to <inline-formula><mml:math id="M78" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 300). Instead, the only influence on atmospheric pressure in the UM (as seen in Fig. <xref ref-type="fig" rid="Ch1.F5"/>) is caused by the increase in dust abundance in the atmosphere during sols <inline-formula><mml:math id="M79" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 360 to <inline-formula><mml:math id="M80" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 660.  This temperature difference leads to weaker winds during month 3 and less dust uplifting, leading to less dust MMR throughout the majority of aphelion compared to months during perihelion <xref ref-type="bibr" rid="bib1.bibx84" id="paren.89"/>. Temperatures are highest in the NH, where it is summer, and then gradually decrease southward. Temperatures also decrease as height increases, as is to be expected. In terms of atmospheric circulation, Mars features strong zonal jets that alternate between hemispheres throughout the year, occurring during winter seasons to the respective hemisphere as the planet transitions between seasons (Fig. <xref ref-type="fig" rid="Ch1.F7"/>). Meridional winds feature a weak jet near the equator surface, with an opposing jet at the upper boundary layer at <inline-formula><mml:math id="M81" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="Ch1.F8"/>). The UM RA dust and RI dust simulations are quite similar in month 3, with zonal wind differences of about <inline-formula><mml:math id="M82" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1–2 m s<inline-formula><mml:math id="M83" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and temperature differences of <inline-formula><mml:math id="M84" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1 K. This is likely due to the low levels of dust abundance in both simulations, and thus its radiative impact during this time period is minimised (Fig. <xref ref-type="fig" rid="Ch1.F10"/>, month 3).</p>
      <p id="d1e1827">The UM and the PCM both feature strong zonal jets in the upper atmosphere in the SH, but the UM's winds are slower at the upper boundary at the equator and in the NH zonal jet (Fig. <xref ref-type="fig" rid="Ch1.F7"/>). The meridional jet in the UM is lower and slower than in the PCM simulations (by <inline-formula><mml:math id="M85" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4 m s<inline-formula><mml:math id="M86" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, Fig. <xref ref-type="fig" rid="Ch1.F8"/>). Air temperature in the UM is generally lower, with especially strong differences between model outputs at the poles, negative at the south pole and positive at the north pole. The lower atmospheric temperature is likely caused by less dust in the atmosphere. Its radiative effects are minimal in the UM, whilst it is relatively abundant in the PCM (average temperature difference omitting the poles of <inline-formula><mml:math id="M87" display="inline"><mml:mrow><mml:mo>≈</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> K, Fig. <xref ref-type="fig" rid="Ch1.F9"/>). The temperature differences at the poles (exceeding <inline-formula><mml:math id="M88" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula> and 30 K at either pole, Fig. <xref ref-type="fig" rid="Ch1.F12"/>), which are much greater than those closer to the equator, are mainly due to the absence of polar ice in the UM, with the latent heat transfer and surface optical properties of ice being simulated in the PCM (Fig. <xref ref-type="fig" rid="Ch1.F9"/>). Lastly, dust differences between model outputs are at their highest relative to concentration comparisons between models in this month. The UM simulates far less atmospheric dust than the PCM. This is likely due to the absence of forced dust uplifting and a dust devil parameterisation in the UM, which is present in the PCM (described by <xref ref-type="bibr" rid="bib1.bibx56 bib1.bibx95 bib1.bibx69" id="altparen.90"/>).</p>
</sec>
<sec id="Ch1.S4.SS2.SSS2">
  <label>4.2.2</label><?xmltex \opttitle{Month 6: $L_{\mathrm{s}}$ 150--180{${}^{{\circ}}$}}?><title>Month 6: <inline-formula><mml:math id="M89" display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> 150–180<inline-formula><mml:math id="M90" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></title>
      <p id="d1e1913">Here, Mars' hemispheres are transitioning seasons; this can be seen in the jet reversal in the zonal winds and by the location of the temperature maxima at the lower latitudes. Mars features a single Hadley cell which reverses twice a year, with polar cells at each pole. Dust MMR is more than month 3 due to rising temperatures increasing wind speeds, with larger concentrations near the equator (Fig. <xref ref-type="fig" rid="Ch1.F10"/>). Despite this, dust in the RA scenario is uplifted more compared to RI by <inline-formula><mml:math id="M91" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 %. The reason for this difference is likely uplifted RA dust scattering solar radiation close to the surface, causing more near-surface warming than there would be with RI dust, where the increased temperature causes faster near-surface winds increasing dust-uplifting rates. Temperature differences between the RA and RI scenarios (Fig. <xref ref-type="fig" rid="Ch1.F9"/>) are between <inline-formula><mml:math id="M92" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> and 5 K, which is more than in month 3 but lower than in later months. There is a clear difference between polar regions in opposing directions (colder NH pole and warmer SH pole), in addition to a mid-altitude band of warmer air by up to 3 K in the RA dust scenario. These indicate that dust is beginning to impact the atmosphere more actively. Zonal winds are also reflecting the increasing differences (Fig. <xref ref-type="fig" rid="Ch1.F7"/>), with an NH polar zonal jet difference of up to 40 m s<inline-formula><mml:math id="M93" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Meridional wind differences are still minimal (Fig. <xref ref-type="fig" rid="Ch1.F8"/>). Mars' seasonal cycle and the associated reversal of its Hadley cell during this month are clearly shown in the meridional wind patterns, with counter-flowing jets present in months 6 but more stable meridional winds during months 3, 9 and 12.</p>
      <p id="d1e1954">Differences between the UM RA dust scenario and PCM here are varied in their magnitude but are present for each variable. For air temperatures (Fig. <xref ref-type="fig" rid="Ch1.F9"/>), the UM is comparable at the surface near the equator, but the temperature in the UM decreases more quickly with height up to the upper atmosphere. The UM, however, features a region with higher temperatures at <inline-formula><mml:math id="M94" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 60<inline-formula><mml:math id="M95" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S latitude, which reaches <inline-formula><mml:math id="M96" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 24 K at the surface but gradually decreases with height. There are still differences between the models at the poles, but these differences are less substantial than they were during month 3 (now down to a difference of the UM being <inline-formula><mml:math id="M97" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">16</mml:mn></mml:mrow></mml:math></inline-formula> K compared to the PCM at the surface). The UM RA features a band of warmer air at <inline-formula><mml:math id="M98" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 55<inline-formula><mml:math id="M99" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S by <inline-formula><mml:math id="M100" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 K (Fig. <xref ref-type="fig" rid="Ch1.F12"/>), but temperatures near the SH pole are colder than in the PCM. Zonal winds feature a variety of differences between models, with faster and slower zonally averaged wind speeds distributed across the atmosphere. Both models feature polar jets in both hemispheres, but the UM zonal jets are slower than the PCMs by up to 40 m s<inline-formula><mml:math id="M101" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> at the centre of the SH jet, which gradually becomes more comparable further from the centre of the jet towards the surface. There is an area of faster winds by <inline-formula><mml:math id="M102" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 m s<inline-formula><mml:math id="M103" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in the UM at the SH pole, which is at the middle of the atmosphere and lessens towards the surface where differences again become 0. This is likely due to large polar temperature differences, leading to a weaker temperature gradient and causing the SH polar jet in the UM to be more stretched than the PCM. The polar jet in the NH is also slower in the UM by up to 30 m s<inline-formula><mml:math id="M104" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Dust differences between models are still considerable throughout the entire atmosphere as in month 3, with the PCM having up to <inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.2</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> kg kg<inline-formula><mml:math id="M106" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msup></mml:math></inline-formula> (<inline-formula><mml:math id="M107" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 700 %) more dust than the UM near the surface, while differences lessen with height. Here, the UM dust quantities are much less than the PCM, but uplifting is increasing as Mars approaches the dust season. In all three scenarios dust concentration is increasing, this is promising as it shows the ability to dynamically simulate a substantial change in atmospheric dust abundance during a transition of seasons, as occurs on Mars.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><?xmltex \def\figurename{Figure}?><label>Figure 7</label><caption><p id="d1e2098">Zonal mean zonal winds (m s<inline-formula><mml:math id="M108" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) across four seasons within the Martian year. For each month, the time average is taken of all sols within that month. The RA dust scenario is shown on the left, the differences between the RA and RI dust scenarios are in the centre and the PCM output is on the right. Colour scales in the left-hand and right-hand plots are matched across all months and between models, with contour intervals of 20 m s<inline-formula><mml:math id="M109" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The contours in the difference plots are not matched due to the varying intensity of the difference between months. Positive values indicate an eastward wind and negative values a westward wind. Appendix Figs. <xref ref-type="fig" rid="App1.Ch1.S1.F13"/> and <xref ref-type="fig" rid="App1.Ch1.S1.F18"/> show the same data but solely for the RA vs. RI and PCM outputs, respectively.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f07.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><?xmltex \currentcnt{8}?><?xmltex \def\figurename{Figure}?><label>Figure 8</label><caption><p id="d1e2138">Zonal mean meridional winds (m s<inline-formula><mml:math id="M110" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) across four seasons within the Martian year. For each month, the time average is taken of all sols within that month. The RA dust scenario is shown on the left, the differences between the RA and RI dust scenarios are in the centre and the PCM output is on the right. Colour scales in the left-hand and right-hand plots are matched across all months and between models, with contour intervals of 2 m s<inline-formula><mml:math id="M111" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The contours in the difference plots are not matched due to the varying intensity of the difference between months. Positive values indicate a northward wind and negative values a southward wind. Appendix Figs. <xref ref-type="fig" rid="App1.Ch1.S1.F14"/> and <xref ref-type="fig" rid="App1.Ch1.S1.F19"/> show the same data but solely for the RA vs. RI and PCM outputs, respectively.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f08.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><?xmltex \currentcnt{9}?><?xmltex \def\figurename{Figure}?><label>Figure 9</label><caption><p id="d1e2177">Zonal mean air temperature (K) across four seasons within the Martian year. For each month, the time average is taken of all sols within that month. The RA dust scenario is shown on the left, the differences between the RA and RI dust scenarios are in the centre and the PCM output is on the right. Colour scales in the left-hand and right-hand plots are matched across all months and between models, with contour intervals of 10 K. The contours in the difference plots are not matched due to the varying intensity of the difference between months. Appendix Figs. <xref ref-type="fig" rid="App1.Ch1.S1.F15"/> and <xref ref-type="fig" rid="App1.Ch1.S1.F20"/> show the same data but solely for the RA vs. RI and PCM outputs, respectively.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f09.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10" specific-use="star"><?xmltex \currentcnt{10}?><?xmltex \def\figurename{Figure}?><label>Figure 10</label><caption><p id="d1e2192">Zonal mean dust mass mixing ratio (kg kg<inline-formula><mml:math id="M112" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) across four seasons within the Martian year; each month is the average taken of all sols within that month (months according to Table <xref ref-type="table" rid="App1.Ch1.S1.T2"/>). The RA dust scenario is shown on the left, the differences between the RA and RI dust scenarios are in the centre and the PCM output is on the right. Contour lines denote the mass mixing ratio and units are in kg kg<inline-formula><mml:math id="M113" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Note that, due to the wide range of values present between months, the colour-scale ranges differ between months and models for this figure. Appendix Figs. <xref ref-type="fig" rid="App1.Ch1.S1.F16"/> and <xref ref-type="fig" rid="App1.Ch1.S1.F21"/> show the same data but solely for the RA vs. RI and PCM outputs, respectively.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f10.png"/>

          </fig>

</sec>
<sec id="Ch1.S4.SS2.SSS3">
  <label>4.2.3</label><?xmltex \opttitle{Month 9: $L_{\mathrm{s}}$ 240--270{${}^{{\circ}}$}}?><title>Month 9: <inline-formula><mml:math id="M114" display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> 240–270<inline-formula><mml:math id="M115" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></title>
      <p id="d1e2259">Month 9 is the peak of the dust season, and this is where differences between the RA and RI scenarios are greatest, as higher abundances of dust affect radiation fluxes more severely. Firstly, for both UM scenarios, dust (Fig. <xref ref-type="fig" rid="Ch1.F10"/>, month 9) is mainly concentrated in the SH, forming a large “plume” that extends vertically. Dust abundances have increased from earlier months and are now 2 orders of magnitude more than in month 3. The dust in the RA simulation is more concentrated at <inline-formula><mml:math id="M116" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 30<inline-formula><mml:math id="M117" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S latitude, while RI dust is distributed more widely across latitudes but with a minor difference towards <inline-formula><mml:math id="M118" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 30<inline-formula><mml:math id="M119" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S latitude. This difference can clearly be seen with higher dust abundance at the equator at all altitudes for RA dust compared to less dust nearer both poles than RI dust. During colder months the temperatures are similar between UM scenarios, but during the dust season, the temperature differences are much more pronounced (Fig. <xref ref-type="fig" rid="Ch1.F9"/>, month 9). This change in magnitude of differences shows the effects of RA dust on temperature, highlighting how dust influences radiative transfer in Mars' atmosphere – particularly at mid altitudes, where dust can remain suspended, influencing incoming solar radiation and outgoing thermal radiation from the surface. Temperatures (Fig. <xref ref-type="fig" rid="Ch1.F9"/>, month 9) near the surface are similar between scenarios, both being <inline-formula><mml:math id="M120" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 K warmer than month 3, but at lower pressures (<inline-formula><mml:math id="M121" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> between <inline-formula><mml:math id="M122" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.2 and 0.1), the RA dust scenario is considerably warmer (exceeding 30 K). The RA dust scenario also features a NH pole which is <inline-formula><mml:math id="M123" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 40 K colder than the PCM but warmer by up to <inline-formula><mml:math id="M124" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 80 K at the SH pole. This highlights the radiative effects of suspended atmospheric dust and how the climate might be different in its absence. Suspended atmospheric dust causes the upper atmosphere to be warmer than if there were no effects from dust (Fig. <xref ref-type="fig" rid="Ch1.F10"/>). In the scenario with RI dust, this dust layer does not affect incoming radiation, and solar radiation can reach the surface; however, in the RA dust scenario, the suspended dust layer scatters incoming solar radiation, transferring energy to the suspended dust layer instead of the surface. This “band” of warmer air stretches from the mid altitudes up to the top of the atmosphere, across almost all latitudes (with an exception at the NH pole). Faster wind speeds are a consequence of sharper temperature gradients due to the thermal wind balance relationship and so are affected by the disparity of temperature maxima between hemispheres. This can be seen by the higher wind speeds present in month 9 compared to month 3 (first columns in Figs. <xref ref-type="fig" rid="Ch1.F7"/> and <xref ref-type="fig" rid="Ch1.F8"/>). Zonal winds (Fig. <xref ref-type="fig" rid="Ch1.F7"/>, month 9) feature more extreme differences between RA and RI simulations, ranging from <inline-formula><mml:math id="M125" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula> to 40 m s<inline-formula><mml:math id="M126" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in some places. These are mainly at the higher altitudes where temperature differences were at their greatest, above the dust layer. The polar jet in the RA dust scenario is considerably quicker but lacks an opposing jet near the top of the atmosphere in the SH (<inline-formula><mml:math id="M127" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula>, 50<inline-formula><mml:math id="M128" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S latitude), though this jet is small in the RI dust scenario (<inline-formula><mml:math id="M129" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M130" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>). RI dust does not feature an equatorial jet in the uppermost part of the simulated atmosphere (<inline-formula><mml:math id="M131" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>≤</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula>). Meridional wind differences for this month (Fig. <xref ref-type="fig" rid="Ch1.F8"/>, month 9) are at their highest compared to other months, ranging from <inline-formula><mml:math id="M132" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> to 3 m s<inline-formula><mml:math id="M133" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in the lower/middle atmosphere (<inline-formula><mml:math id="M134" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> to 0.5, 15<inline-formula><mml:math id="M135" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N latitude). A region near the top of the atmosphere is faster in the RA dust scenario (up to 15 m s<inline-formula><mml:math id="M136" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, <inline-formula><mml:math id="M137" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula>, 15<inline-formula><mml:math id="M138" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N latitude). The dust content in the RA scenario is more centralised around the equator, while dust content in the RI scenario is more spread across the planet, leading to more dust at the poles (Figs. <xref ref-type="fig" rid="Ch1.F10"/> and <xref ref-type="fig" rid="Ch1.F11"/>). This highlights the thermal feedback effects of atmospheric dust, as the dust content in the RA scenario causes more localised warming, driving increased vertical uplifting. This thermal influence is not present in the RI scenario, causing vertical uplifting to higher levels to be reduced, leading to a lower, more latitudinally dispersed, atmospheric dust layer. This shows the ability to simulate strong vertical wind-driven dust uplifting in the UM.</p>
      <p id="d1e2507">Differences between the UM RA dust scenario and PCM during month 9 are at their least compared to other months (when compared at the relative ranges of the different months), suggesting the importance of radiatively active dust for reproducing the salient features of atmospheric dynamics on Mars. Dust MMR in both models is now much more comparable, with the UM having uplifted more dust than the PCM during prior months. Spatially, dust in the UM is concentrated in a large central plume at <inline-formula><mml:math id="M139" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 30<inline-formula><mml:math id="M140" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S latitude, with dust in the PCM being more spread out across the atmosphere. The reasons for this are uncertain but could potentially be the parameterisation of dust uplifting: the UM dynamically calculates dust reservoirs and horizontal flux, whereas PCM uses “forced” dust injection to more closely match observations <xref ref-type="bibr" rid="bib1.bibx95 bib1.bibx68 bib1.bibx69" id="paren.91"/>. This high vertical uplifting in the UM is responsible for a high input of dust into the atmosphere past the near surface, a process described in detail by <xref ref-type="bibr" rid="bib1.bibx95" id="text.92"/>. The UM features comparable near-surface dust to the PCM across the <inline-formula><mml:math id="M141" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 30<inline-formula><mml:math id="M142" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S latitudinal band (Fig. <xref ref-type="fig" rid="Ch1.F11"/>), but near-surface dust levels in the PCM are higher above and below this region (above 0<inline-formula><mml:math id="M143" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and below  <inline-formula><mml:math id="M144" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 50<inline-formula><mml:math id="M145" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S). Particular regions of higher near-surface dust in the UM are the Hellas Basin and the Tharsis region. Temperature differences between models exist throughout the atmosphere, with the largest differences occurring close to the surface at the poles and reaching <inline-formula><mml:math id="M146" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula> K in the NH pole and 40 K in the SH pole. These large differences are due to the current absence of ice at the poles in the UM, which will impact temperatures through emissivity and latent heat effects. The rest of the atmosphere is colder in the UM, with differences exceeding 20 K above the SH pole and above the equator at the upper edge of the simulated atmosphere.  There is an agreement between models at the surface across the equator as in months 3 and 6, with another small area of agreement between models above the surface at <inline-formula><mml:math id="M147" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.9</mml:mn></mml:mrow></mml:math></inline-formula> to 0.2 and 50<inline-formula><mml:math id="M148" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N latitude. Zonal mean differences here are concentrated in the NH polar jet, with the rest of the atmosphere in agreement. The zonal NH polar jet in the UM is more spread out meridionally than the PCM, so the difference of 40 m s<inline-formula><mml:math id="M149" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> at <inline-formula><mml:math id="M150" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M151" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 60<inline-formula><mml:math id="M152" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N latitude is a result of the jet expanding horizontally in the UM rather than vertically as in the PCM. This is further highlighted by the <inline-formula><mml:math id="M153" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M154" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> difference at <inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M156" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 45<inline-formula><mml:math id="M157" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N latitude, where the wind speeds in the UM are slower as a result of being more dispersed horizontally. Lastly, meridional wind differences between the UM and PCM in month 9 are not concentrated in a single jet or in a single direction but instead occur sporadically throughout the atmosphere. There are some differences of <inline-formula><mml:math id="M158" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M159" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> near the surface and below the top of the simulated atmosphere, with 3 m s<inline-formula><mml:math id="M160" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> faster wind speeds around the middle atmosphere (<inline-formula><mml:math id="M161" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula>, 0 and 20<inline-formula><mml:math id="M162" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S latitude) and top of the simulated atmosphere (<inline-formula><mml:math id="M163" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>≤</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula>, 0 to 40<inline-formula><mml:math id="M164" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N latitude).</p>
      <p id="d1e2776">When discussing dust, month 9 is the most relevant of the four selected months, as it features the height of the dust season when the dust is at its most abundant in both models. Our results show that we are able to simulate a dust cycle with intra-annual fluctuations in the UM without dust forcing. This month highlights the key takeaway from this study, that we have intra-annual dust quantity oscillation that is entirely reproduced dynamically by the GCM, with dust quantities rising during earlier months, peaking during the dust storm season and subsiding in later months.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11" specific-use="star"><?xmltex \currentcnt{11}?><?xmltex \def\figurename{Figure}?><label>Figure 11</label><caption><p id="d1e2782">Dust mass mixing ratio (kg kg<inline-formula><mml:math id="M165" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and horizontal wind speed (m s<inline-formula><mml:math id="M166" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) at <inline-formula><mml:math id="M167" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.99</mml:mn></mml:mrow></mml:math></inline-formula> across four seasons within the Martian year; each month is the average taken of all sols within that month (months according to Table <xref ref-type="table" rid="App1.Ch1.S1.T2"/>). The RA dust scenario is shown on the left, the differences between the RA and RI dust scenarios are in the centre and the PCM output is on the right. Colour scales in the left-hand and right-hand plots are matched across all months and between models, with contour intervals of <inline-formula><mml:math id="M168" display="inline"><mml:mrow><mml:mn mathvariant="normal">5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> kg kg<inline-formula><mml:math id="M169" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The contours in the difference plots are not matched due to the varying intensity of the difference between months. The PCM output is shown in the centre of this figure to allow easier visual comparison between the UM RA dust scenario and PCM.   Appendix Figs. <xref ref-type="fig" rid="App1.Ch1.S1.F17"/> and <xref ref-type="fig" rid="App1.Ch1.S1.F22"/> show the same data but solely for the RA vs. RI and PCM outputs, respectively.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f11.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F12" specific-use="star"><?xmltex \currentcnt{12}?><?xmltex \def\figurename{Figure}?><label>Figure 12</label><caption><p id="d1e2866">Surface temperature (K) across four seasons within the Martian year; each month is the average taken of all sols within that month (months according to Table <xref ref-type="table" rid="App1.Ch1.S1.T2"/>). The RA dust scenario is shown on the left, the PCM output is in the centre and the differences between the RA and PCM outputs are on the right. Colour scales in the left-hand and centre plots are matched across all months and between models with contour intervals of 20 K. The colour scales in the difference plots are also matched across all months and contour intervals are also 20 K.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f12.png"/>

          </fig>

</sec>
<sec id="Ch1.S4.SS2.SSS4">
  <label>4.2.4</label><?xmltex \opttitle{Month 12: $L_{\mathrm{s}}$ 330--360{${}^{{\circ}}$}}?><title>Month 12: <inline-formula><mml:math id="M170" display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> 330–360<inline-formula><mml:math id="M171" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></title>
      <p id="d1e2906">In month 12, the dust season ends and the atmosphere of Mars cools. The winds are weaker and dust MMR subsides while the polar jets transition between hemispheres. The uplifted dust quantities are considerably less than those of the peak dust season, with RA scenarios still centred around the equator and RI dust shifting northward. Dust at the equator is more abundant in the RA scenario by <inline-formula><mml:math id="M172" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">4.0</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> kg kg<inline-formula><mml:math id="M173" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (<inline-formula><mml:math id="M174" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 10 % more dust in the RA scenario).</p>
      <p id="d1e2948">Overall, there is more dust uplifted in the RI scenario compared to the RA scenario, though this varies spatially (Fig. <xref ref-type="fig" rid="Ch1.F10"/>, month 12). Dust content in the RA scenario at the NH pole is less than that in the RI scenario by up to <inline-formula><mml:math id="M175" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.6</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> kg kg<inline-formula><mml:math id="M176" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (<inline-formula><mml:math id="M177" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 187 %), with a similar but less extreme difference at the SH pole. Temperatures begin to decrease in this season, and the warmest region is again in the lower latitudes in both scenarios (Fig. <xref ref-type="fig" rid="Ch1.F9"/>, month 12). The RI case is warmer at the equator in the upper atmosphere and colder near the poles in the lower atmosphere than that in the RA dust case. Zonal wind patterns change between hemispheres, with higher polar jet speeds in both hemispheres for RA dust (Fig. <xref ref-type="fig" rid="Ch1.F7"/>, month 12). Differences in months 6 and 12 do switch hemispheres, but the magnitude of these differences is larger for month 12. This is likely caused by more residual dust in the atmosphere from month 9, causing temperature differences to be higher in month 12 than in month 6, in turn affecting the thermal wind relationship. This hemispheric reversal in the zonal wind mirrors what occurs in month 6 but is stronger in month 12 and stronger in the RA dust scenario, with maximum differences reaching now <inline-formula><mml:math id="M178" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 m s<inline-formula><mml:math id="M179" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (compared to <inline-formula><mml:math id="M180" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 m s<inline-formula><mml:math id="M181" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in month 6). Meridional winds for both scenarios show the Hadley cell direction reversal with the seasonal cycle (detailed by <xref ref-type="bibr" rid="bib1.bibx84" id="altparen.93"/>); wind speeds in both scenarios are once again comparable with the largest differences being between <inline-formula><mml:math id="M182" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> and 1 m s<inline-formula><mml:math id="M183" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>.</p>
      <p id="d1e3059">Comparison between the UM RA dust scenario and PCM shows similar trends to month 6 in each variable but inverted with respect to latitude (i.e. warmer temperature plume occurs in the NH instead of the SH, as in month 6). Temperatures are once again colder in the UM but are generally colder than the differences in month 6 (i.e. month 6 differences ranged from <inline-formula><mml:math id="M184" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">24</mml:mn></mml:mrow></mml:math></inline-formula> to 24 K, but month 12 ranges from <inline-formula><mml:math id="M185" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula> to 18 K). The UM again features a patch of warmer air at <inline-formula><mml:math id="M186" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 60<inline-formula><mml:math id="M187" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N latitude up to <inline-formula><mml:math id="M188" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula> but in the opposite hemisphere to month 6. There is also a small patch of colder air at the NH pole. These temperature discrepancies are likely to be the result of no polar ice in the UM which is present in the PCM (emissivity and thermal effects of polar ice are shown by <xref ref-type="bibr" rid="bib1.bibx22 bib1.bibx108" id="altparen.94"/>). Throughout the rest of the atmosphere, as in month 6, the UM features lower air temperatures than those in the PCM, becoming lower as the height increases up to the top of the atmosphere (Fig. <xref ref-type="fig" rid="Ch1.F9"/>, month 12). Surface temperatures are also more comparable than month 9, with the only differences in temperatures <inline-formula><mml:math id="M189" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> K being at the NH pole, peaking at <inline-formula><mml:math id="M190" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">85</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M191" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N by <inline-formula><mml:math id="M192" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 40 K colder in the UM.  Zonal wind differences between models are quite varied during month 12, with varied wind speed differences across the upper atmosphere in both hemispheres and a weaker and wider polar jet in the NH (Fig. <xref ref-type="fig" rid="Ch1.F7"/>, month 12). The winds near the surface are quite comparable between models, but at the NH pole, the wind speeds are faster in the UM, with this difference increasing with altitude up to <inline-formula><mml:math id="M193" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula> where the difference is <inline-formula><mml:math id="M194" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 30 m s<inline-formula><mml:math id="M195" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The entire NH polar jet in the UM is larger than the PCM, with the centre of the jet being spread out across more of the upper atmosphere, this is in contrast to the PCM where the NH polar jet is smaller but faster above <inline-formula><mml:math id="M196" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 50<inline-formula><mml:math id="M197" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N latitude. The SH polar jet is also weaker in the UM, but this difference is much less than that of the NH (up to <inline-formula><mml:math id="M198" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> K). Meridional wind differences are also similar to month 6 in locations, but differences, where they do occur, are less than in month 3. At <inline-formula><mml:math id="M199" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 15<inline-formula><mml:math id="M200" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N latitude at <inline-formula><mml:math id="M201" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.9</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula>, there is now no difference between models, as opposed to during month 6, where wind speed predicted by the UM was <inline-formula><mml:math id="M202" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M203" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> slower.</p>
      <p id="d1e3263">Dust MMR fluctuates in both models throughout the year, becoming more abundant during month 9 (peak dust storm season, Fig. <xref ref-type="fig" rid="Ch1.F10"/>) then dissipating during the colder perihelion (Fig. <xref ref-type="fig" rid="Ch1.F10"/>, month 3). Both RA and RI outputs feature strong columns at the mid latitudes spanning up into the mid altitudes during dust season, with dust MMR being on average 2 orders of magnitude higher compared to that during colder months. Although there is an increase in dust MMR between seasons in both model outputs, the intensity of the change varies regionally, with poleward regions increasing less severely than equatorial regions.
<?xmltex \hack{\break}?>Despite similarities between the RA and RI scenarios, there are still some differences. Dust MMR is concentrated around the mid-latitudes for RA dust and is more dispersed with RI dust. Dust abundances are higher northward of the equator in the RI dust scenario during peak dust season (Fig. <xref ref-type="fig" rid="Ch1.F10"/>, month 9), but as the dust season subsides (approaching NH spring equinox) there are higher abundances of dust MMR in the RI scenarios towards the poles (Fig. <xref ref-type="fig" rid="Ch1.F10"/>, month 12). Because of this, months 6 and 12 are essential for monitoring dust-uplifting rates.</p>
</sec>
</sec>
<sec id="Ch1.S4.SS3">
  <label>4.3</label><title>Variable comparison to the PCM</title>
      <p id="d1e3285">In this section, we summarise the key differences between variables in the UM's RA simulation and the PCM output across the Martian year. We discuss zonal and meridional winds (Sect. <xref ref-type="sec" rid="Ch1.S4.SS3.SSS1"/>), air temperature (Sect. <xref ref-type="sec" rid="Ch1.S4.SS3.SSS2"/>) and dust (Sect. <xref ref-type="sec" rid="Ch1.S4.SS3.SSS3"/>). We finish the section by discussing the implications of dust differences between models and speculate as to their cause.</p><?xmltex \hack{\newpage}?>
<sec id="Ch1.S4.SS3.SSS1">
  <label>4.3.1</label><title>Winds</title>
      <p id="d1e3302">As shown in Fig. <xref ref-type="fig" rid="Ch1.F7"/>, overall patterns are similar between models, with both RA UM and PCM simulating strong eastward jets that alternate between hemispheres throughout the Martian seasons. Wind speed maxima in the PCM are generally faster than the UM, as is clearly seen in the plot for month 6, where the jets are present in both hemispheres but are <inline-formula><mml:math id="M204" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 30 m s<inline-formula><mml:math id="M205" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> slower in the UM. This is likely due to less atmospheric dust around <inline-formula><mml:math id="M206" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.6</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula> in the UM, which in turn leads to lower temperatures; this reduces pressure gradients, causing slower winds <xref ref-type="bibr" rid="bib1.bibx56" id="paren.95"/>. Despite these discrepancies, our results are encouraging, as they demonstrate the ability to model the major seasonal wind patterns with the UM.</p>
      <p id="d1e3339"><?xmltex \hack{\newpage}?>As shown in Fig. <xref ref-type="fig" rid="Ch1.F8"/>, meridional wind patterns are similar between models but do feature some key differences. In month 3, the jet at the upper boundary of the model is situated lower in the UM, relative to the PCM output, in addition to stronger surface winds in the UM. Month 6 features the largest differences, with more distinctive jets in the UM, that are more fragmented and overall weaker in the PCM output. Months 9 and 12 are highly similar between outputs, with the largest difference being a slightly faster mid-latitude jet in the UM during month 12.</p>
</sec>
<sec id="Ch1.S4.SS3.SSS2">
  <label>4.3.2</label><title>Temperatures</title>
      <p id="d1e3353">As shown in Fig. <xref ref-type="fig" rid="Ch1.F9"/>, the differences in temperature between the UM and PCM outputs are notable throughout the year, the highest occurring in months 6 and 12. There is a consistent difference at the poles: this is likely due to the UM not having any form of polar ice and its effect on albedo and heat transfer <xref ref-type="bibr" rid="bib1.bibx22 bib1.bibx23" id="paren.96"/>. These missing parameterisations will have major impacts around the near surface, as shown in Figs. <xref ref-type="fig" rid="Ch1.F9"/> and <xref ref-type="fig" rid="Ch1.F12"/> at the poles, with the effect weakening with height. Month 6 and 12 differences both feature patches where the UM simulations are warmer, at  <inline-formula><mml:math id="M207" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 60<inline-formula><mml:math id="M208" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> in the hemisphere exiting winter (<inline-formula><mml:math id="M209" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M210" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M211" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> during month 3, <inline-formula><mml:math id="M212" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 60<inline-formula><mml:math id="M213" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> during month 12). Interestingly, the differences in temperature are small in months 3 and 9 (except at the poles), despite the absence and presence of higher dust abundance, respectively. This occurs despite the difference in dust MMR maximum and minimum with month 3 being half the amount of month 9 (<inline-formula><mml:math id="M214" display="inline"><mml:mrow><mml:mn mathvariant="normal">6</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M215" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.2</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, respectively). This is likely due to the effects of dust uplifting and deposition (highest rate of change during months 6 and 12) having higher horizontal flux rates in the UM, leading to non-uniform differences across the atmosphere. This is also suggested by the fairly consistent distribution of differences in temperatures during months 3 and 9, where the dust is at its lowest and highest dust MMR abundances, respectively, but dust-uplifting and deposition rates are fairly homogeneous.</p>
      <p id="d1e3460">Across all months, the PCM output is generally warmer than the UM, with the higher temperature differences correlating with months of higher dust differences (Fig. <xref ref-type="fig" rid="Ch1.F9"/>, month 9). This highlights the importance of atmospheric dust in thermal insulation in the Martian atmosphere, as temperatures nearer the upper boundary are cooler in the UM. This is likely caused by the lower amounts of suspended dust compared to the PCM, allowing more solar radiation to the surface, causing a cooling gradient as height increases above the missing dust layer <xref ref-type="bibr" rid="bib1.bibx56" id="paren.97"/>.
Surface polar temperatures in the RA dust scenario are consistently different to the PCM  throughout the Martian year (Fig. <xref ref-type="fig" rid="Ch1.F12"/>). This is most likely due to the absence of polar CO<inline-formula><mml:math id="M216" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and H<inline-formula><mml:math id="M217" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O ice in the UM, which are included in the PCM. During month 9, there is still a residual ice cap in the PCM <xref ref-type="bibr" rid="bib1.bibx22 bib1.bibx23" id="paren.98"/>, but as there is no such cap in the UM, the radiation is incident directly on the polar soil. This will change the albedo and thermal inertia properties of these regions, leading to increased shortwave absorption in the UM than in the PCM. The subsequent effects of this potentially explain the stronger meridional circulation in the UM. As the hemispheric temperature difference is stronger, transport from the SH to the NH is amplified (as can be seen in Fig. <xref ref-type="fig" rid="Ch1.F8"/>).</p>
</sec>
<sec id="Ch1.S4.SS3.SSS3">
  <label>4.3.3</label><title>Dust content</title>
      <p id="d1e3503">Differences in dust distributions between the UM and PCM results are the most significant of all the variables, both throughout the year and regionally within monthly outputs. Differences between the dust amount vary greatly between models, with dust season total quantities being comparable but spatially varied and the cold season retaining vastly more atmospheric dust in the PCM output than that in the RA UM scenario (Fig. <xref ref-type="fig" rid="Ch1.F10"/>). Whilst the PCM output during month 3 still has less uplifted dust than its dust season quantities, there is still significantly more dust in this month than the UM by <inline-formula><mml:math id="M218" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1.5 orders of magnitude. This disparity changes as both models approach the dust season (Fig. <xref ref-type="fig" rid="Ch1.F10"/>, month 6), however, with the dust-uplifting rate in the UM being higher than the PCM. This means that there are initially large differences between the two models, but the UM is beginning to rectify the disparity between atmospheric dust amounts as it approaches the dust season. This becomes apparent in month 9 (Fig. <xref ref-type="fig" rid="Ch1.F10"/>, month 9): where the dust season is at its peak, both scenarios have much more similar amounts of dust in their outputs compared to previous months. Both outputs differ in their vertical and spatial (Figs. <xref ref-type="fig" rid="Ch1.F10"/> and <xref ref-type="fig" rid="Ch1.F11"/>) distributions, with the UM featuring a large equatorial plume that extends into the upper atmosphere, whilst the PCM features higher abundances at the SH pole. Month 9 features the first instance of a localised higher amount of near-surface dust content in the UM compared to the PCM (mainly in the Hellas Basin). Near-surface dust in the PCM, however, is distributed more evenly across the rest of the planet. This locality of dust in the UM is likely the origin of the vertical plumes present at higher altitudes (Fig. <xref ref-type="fig" rid="Ch1.F10"/>). Dust is being transported southward from the equator and NH (as shown by the vectors in Fig. <xref ref-type="fig" rid="Ch1.F11"/>) and is redirected vertically at <inline-formula><mml:math id="M219" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 30<inline-formula><mml:math id="M220" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S.
As the simulations progress towards month 12 (Fig. <xref ref-type="fig" rid="Ch1.F10"/>, month 12), dust abundances in the UM reduce more quickly than the PCM, resulting in higher dust abundance in the PCM output. This is a reversal of the observed pattern as seen in month 6, where UM dust uplifting is greater than the PCM, but instead the UM dust deposition is now stronger than the PCM output. This presents an interesting dilemma in understanding how these variables are represented in simulations, as the models do not have the same parameterisations for dust uplifting, and as a result, there is a clear disparity in the amount of dust that can be uplifted between models. The usage of a “free” dust scheme has also been explored by <xref ref-type="bibr" rid="bib1.bibx74" id="text.99"/> with the Global Environmental Multiscale model (further described by <xref ref-type="bibr" rid="bib1.bibx42" id="altparen.100"/>). They are able to characterise the Martian atmosphere according to Mars year 27 using a “free” dust scheme. Their work alongside this study emphasises the potential of a “free” dust scheme and also acts as a demonstration of model capabilities which we aim to explore further.
Although the cause of the disparity in dust distributions between those predicted by the UM and PCM is uncertain, we can speculate on potential causes. These might be caused by dust over-sensitivity to temperature in the UM. As the average atmospheric temperature decreases after the cold season, lower temperatures could potentially indirectly affect dust-uplifting or deposition rates via slower wind speeds more severely in the UM, causing uplifted dust to decrease more quickly than anticipated. There are also consistently colder air temperatures in the UM that vary in intensity throughout the Martian months, which could be amplifying this effect. Another reason might be that both models assume an infinite availability of dust reservoirs, which start uniformly distributed across the surface but are allowed to develop and congregate in areas as the model progresses. This is currently an issue in Mars modelling, as the dust deposition in “free” GCMs does not always match observations <xref ref-type="bibr" rid="bib1.bibx69" id="paren.101"/>. To rectify this, the PCM uses dust-uplifting maps to dictate where dust is being forced into the atmosphere, as described by <xref ref-type="bibr" rid="bib1.bibx56" id="text.102"/>, <xref ref-type="bibr" rid="bib1.bibx95" id="text.103"/> and <xref ref-type="bibr" rid="bib1.bibx69" id="text.104"/>. In our set-up, the UM does not prescribe dust uplifting in such a way but instead relies on the surface scheme to calculate dust reservoirs. Therefore, direct comparison to PCM output cannot be solely attributed to the difference in model parameterisation. Despite this, a comparison of averaged seasonal trends does show that both GCMs are able to capture annual dust storm seasons and non-dust seasons. Where dust is deposited in the model dictates source reservoirs for its subsequent uplifting. Therefore, understanding the deposition of dust and the formation of dust reservoirs (particularly after dust storms due to the amount of dust transported) is paramount to be able to reproduce the Martian dust cycle accurately <xref ref-type="bibr" rid="bib1.bibx68 bib1.bibx66 bib1.bibx21 bib1.bibx69" id="paren.105"/>. If certain regions are key contributors to dust uplifting, then misrepresenting the surface wind conditions over them would have a particularly noticeable effect on the global rate of dust uplifting. The third likely cause of such differences could be dust nucleation scavenging from CO<inline-formula><mml:math id="M221" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and H<inline-formula><mml:math id="M222" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O condensation being present in the PCM but absent in the UM. This affects global dust abundances where dust is being extracted from the atmosphere in the PCM during colder conditions. In the present paper, we focus only on dry simulations of the UM, so the dust abundance is not affected by scavenging from condensation, leading to potential overestimation of dust abundance during the colder cloud season. The total dust abundance during month 9 is also impacted by dust uplifting in prior months, so where pressures vary between models (Fig. <xref ref-type="fig" rid="Ch1.F6"/>), the ability for increased/decreased rates of dust suspension will be likely to vary between models.</p>
      <p id="d1e3589">Rapid vertical dust-uplifting “rocket dust storms”, as described by <xref ref-type="bibr" rid="bib1.bibx95" id="text.106"/>, play a key role in dust injection into the atmosphere. The PCM  currently factors for this, but the UM dust scheme has not previously been required to simulate such intense vertical uplifting (since it does not feature on the same scale on Earth), and therefore additional changes to the dust scheme are required in the UM. Observations and model comparison investigating this uplifting rate are essential to fine-tune the UM and verify whether the UM captures this correctly, alongside determining which developments or adjustments might be required for the UM dust scheme <xref ref-type="bibr" rid="bib1.bibx56" id="paren.107"/>.</p>
      <p id="d1e3598">Further differences may be caused by the PCM featuring a varying inter-annual dust content between Martian years <xref ref-type="bibr" rid="bib1.bibx68" id="paren.108"/>, while the UM inter-annual dust content remains largely the same as that displayed in Figs. <xref ref-type="fig" rid="Ch1.F10"/> and <xref ref-type="fig" rid="Ch1.F11"/>. This was mainly mitigated by using the average scenario for the MCD (described in Sec. <xref ref-type="sec" rid="Ch1.S3"/>). This remains something to consider, however, were the UM output to be used to investigate the Martian climate across multiple Martian years.</p>
      <p id="d1e3610">Disparities between dust MMR in the RA and PCM outputs are also affected by the absence/presence of a dust devil parameterisation. Dust devils play a large role in dust vertical transport, particularly during the NH summer <xref ref-type="bibr" rid="bib1.bibx75 bib1.bibx45 bib1.bibx46" id="paren.109"/>, enabling and sustaining dust suspension above the surface (but mainly below <inline-formula><mml:math id="M223" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 8 km) during NH spring and summer <xref ref-type="bibr" rid="bib1.bibx34 bib1.bibx73 bib1.bibx29 bib1.bibx77" id="paren.110"/>. While the PCM includes parameterisation for this <xref ref-type="bibr" rid="bib1.bibx75" id="paren.111"/>, the UM does not currently feature any explicit parameterisation for rapid vertical uplifting other than by aeolian-driven processes <xref ref-type="bibr" rid="bib1.bibx59 bib1.bibx115" id="paren.112"/>.</p>
      <p id="d1e3633">Both schemes omit some dust microphysics due to the difficulty in accurately characterising them within the dust scheme, namely surface crusting and surface re-entrainment <xref ref-type="bibr" rid="bib1.bibx114 bib1.bibx112 bib1.bibx56 bib1.bibx116" id="paren.113"/>, which likely contributes to the disparity between GCM outputs (without forcing) and observations. The differences in spatial distribution could also be caused by the differences in microphysics parameterisation between models, and therefore refining this would undoubtedly improve the representation of dust on Mars. The magnitude of this potential improvement, however, will remain uncertain until an inter-GCM comparison takes place where the initial and boundary conditions are identical. Such work would be able to identify differences which are solely due to these differences in parameterisations. Studies have been conducted on a mesoscale level in conjunction with the Mars 2020 lander <xref ref-type="bibr" rid="bib1.bibx77" id="paren.114"/> but took place prior to recent major improvements in parameterisations in current Mars GCMs <xref ref-type="bibr" rid="bib1.bibx47 bib1.bibx56 bib1.bibx95 bib1.bibx13 bib1.bibx71 bib1.bibx28" id="paren.115"/>. Global comparisons have been extensively applied to Earth GCMs through CMIP6 projects <fn id="Ch1.Footn5"><p id="d1e3645">Full list of projects available at <uri>https://www.wcrp-climate.org/modelling-wgcm-mip-catalogue/modelling-wgcm-cmip6-endorsed-mips</uri> (last access: 16 January 2023).</p></fn> <xref ref-type="bibr" rid="bib1.bibx18" id="paren.116"/>. It has also been recently been conducted for exoplanets as part of the THAI project (described by <xref ref-type="bibr" rid="bib1.bibx103 bib1.bibx88 bib1.bibx19" id="altparen.117"/>), and the results have already identified new avenues for model improvement. If such a comparison was applied to Mars GCMs, it would allow for the identification of limitations of Mars modelling, potentially identifying limitations in our parameterisations, in turn allowing us to then improve comparisons to observations.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Discussion and conclusions</title>
      <p id="d1e3670">By using multiple GCMs to simulate Mars' climate in different ways, we are able to understand areas of inaccuracy within these models <xref ref-type="bibr" rid="bib1.bibx27 bib1.bibx37 bib1.bibx76" id="paren.118"/>, as has been the case for Earth (e.g. <xref ref-type="bibr" rid="bib1.bibx18" id="altparen.119"/>), other solar system bodies (e.g. <xref ref-type="bibr" rid="bib1.bibx53" id="altparen.120"/>) and  exoplanets <xref ref-type="bibr" rid="bib1.bibx103 bib1.bibx88 bib1.bibx19" id="paren.121"/>. With the UM we are able to simulate the same Martian climate with a new modelling framework. These differences are present down to the core structure of the GCMs, with the UM being a non-hydrostatic model, different parameterisations for dust calculations and a height-based vertical structure. Using a non-hydrostatic model is especially relevant to Mars, as it features periodic pressure fluctuations which affect the entire climate in multiple ways (e.g. varying wind speeds and dust-uplifting rates due to less atmospheric mass, and a summary of key differences between the models is further highlighted by <xref ref-type="bibr" rid="bib1.bibx103" id="altparen.122"/>). Modelling comparable climates in different GCMs is crucial for identifying differences between them, potentially like those caused by parameterisation or as a result of the different methods used to calculate variables. This work and the developments with other Mars GCMs will undoubtedly allow us to eventually expand our capabilities in areas that currently elude us, such as being able to forecast when global dust storms will occur.</p>
      <p id="d1e3688">The UM is capable of reproducing salient features of the large-scale circulation but lacks two key physical processes which have a considerable impact on Mars' climate: water and CO<inline-formula><mml:math id="M224" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> cycle. Including parameterisations for these processes is expected to further reduce the disparities between the UM and PCM. Our goal, however, is not to make our model identical to the PCM but to offer a new modelling framework that can complement the PCM (and other GCMs) while aiming for improvements in the aspects of Mars climate where current models struggle.</p>
      <p id="d1e3700">Firstly, by adding water vapour and radiatively active clouds, which would affect temperatures in a variety of ways <xref ref-type="bibr" rid="bib1.bibx71 bib1.bibx99 bib1.bibx80" id="paren.123"/>, in addition to dust-uplifting rates (due to water acting as condensation nuclei for dust particles). The inclusion of these parameterisations would undoubtedly alter how the UM simulates Mars' dust and subsequently the planet's surface, especially as dust deposition changes surface properties such as thermal inertia or albedo <xref ref-type="bibr" rid="bib1.bibx7 bib1.bibx86 bib1.bibx44 bib1.bibx21" id="paren.124"/>. Although H<inline-formula><mml:math id="M225" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O content is relatively low in the Martian atmosphere compared to other atmospheric compounds (even lower than Earth when accounting for the difference in atmospheric mass), it still is shown to have a large effect on Mars' climate. Radiatively active clouds can affect temperatures by up to 20 K <xref ref-type="bibr" rid="bib1.bibx55 bib1.bibx71 bib1.bibx14" id="paren.125"/>, and moisture also affects dust nucleation and deposition <xref ref-type="bibr" rid="bib1.bibx105" id="paren.126"/>. In the present study, we use the UM with a completely dry atmosphere similar to <xref ref-type="bibr" rid="bib1.bibx103" id="text.127"/>. However, as the UM has been originally developed for Earth, it already has two sophisticated cloud schemes which are routinely used for climate and weather prediction (described by <xref ref-type="bibr" rid="bib1.bibx111 bib1.bibx110" id="altparen.128"/>). Therefore, adding clouds to our set-up would be a matter of adaptation of an existing scheme rather than creating one from the ground up. Adding the hydrological cycle would affect dust deposition rates, especially during the colder months, when Mars' relative humidity is at its highest. Temperature profiles would be different across the atmosphere (which will cause secondary effects on winds and dust MMR) as clouds influence radiation transfer. An example of this can be seen in <xref ref-type="bibr" rid="bib1.bibx71" id="text.129"/> and the scenarios in the PCM.</p>
      <p id="d1e3734">Secondly, our model needs to include a CO<inline-formula><mml:math id="M226" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> cycle which substantially affects Mars' atmospheric pressure and the air–surface interaction at the poles in particular (as shown by <xref ref-type="bibr" rid="bib1.bibx23 bib1.bibx108" id="altparen.130"/>). CO<inline-formula><mml:math id="M227" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> condensation and sublimation lead to pressure fluctuations throughout the Martian year (Fig. <xref ref-type="fig" rid="Ch1.F5"/>), so they have to be accounted for by the model parameterisations to correctly reproduce horizontal pressure gradients, and thus the wind patterns <xref ref-type="bibr" rid="bib1.bibx31 bib1.bibx84 bib1.bibx60" id="paren.131"/>. Improving the atmospheric pressure characterisation will also likely improve the accuracy of dust-uplifting rates during months 6 and 12, when the surface pressure is the most different between models (Fig. <xref ref-type="fig" rid="Ch1.F6"/>). In some GCMs, this has been tackled by fixing the available mass of atmospheric CO<inline-formula><mml:math id="M228" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> to match the amount for the given pressure amount, which has allowed models to characterise an incredibly complicated process, enabling an idealised representation of Mars <xref ref-type="bibr" rid="bib1.bibx23" id="paren.132"/>. More recently, work by <xref ref-type="bibr" rid="bib1.bibx108" id="text.133"/> has been able to alter pressure levels throughout the simulation without such ad hoc prescription. In follow-up work, we are planning to implement this or a similar parameterisation, and we expect this would improve year-round simulation as all prognostic variables shown in this paper would be affected by pressure variations, particularly during the colder months, where pressure difference between <italic>Viking</italic> lander observations and the UM are highest. Once these processes have been added, further refinement of the albedo and surface inertia can be implemented. That is, an albedo that varies spatially across the Martian surface and is affected by CO<inline-formula><mml:math id="M229" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> ice <xref ref-type="bibr" rid="bib1.bibx49 bib1.bibx86" id="paren.134"/>, and a thermal inertia map that also varies spatially <xref ref-type="bibr" rid="bib1.bibx49 bib1.bibx81 bib1.bibx64" id="paren.135"/>
Despite the absence of the aforementioned parameterisations, including a dust devil parameterisation and prescribed dust quantities in the UM RA, our model still produces a high-altitude dust layer using a free dust scheme. This offers a promising development in Martian climate modelling <xref ref-type="bibr" rid="bib1.bibx66 bib1.bibx69" id="paren.136"/>. While the dust quantities and their seasonality in the UM RA are not entirely similar to those in PCM (e.g. the UM RA features a single dust storm season, while Mars features two seasons in reality; <xref ref-type="bibr" rid="bib1.bibx56 bib1.bibx84 bib1.bibx60" id="altparen.137"/>), the ability to simulate seasonal dust levels with distributions characteristic of the PCM without forcing emphasises the scientific relevance of the UM. Once more parameterisations are implemented (as mentioned in the previous two paragraphs), results may be better matched across diurnal and monthly cycles, allowing further work investigating these temporal periods. For this reason, we hope the UM will prove a vital tool in the further research of the Martian climate using GCMs.</p>
      <p id="d1e3807">In this paper, we have shown the first application of the UM to a modern-day Mars climate, using a dry set-up. We have demonstrated how we can adapt a highly sophisticated Earth climate model to simulate a climate on another planet. The UM demonstrates comparable wind patterns and temperature profiles to outputs from an established three-dimensional Mars GCM, the PCM. We have shown how the UM is able to simulate seasonal temperature variations and their subsequent effects on winds. We have shown how the UM can simulate uplifted dust and identified areas of disparity during colder months where the absence of a CO<inline-formula><mml:math id="M230" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> ice and hydrological scheme likely play a role. Future work will seek to use the existing moist physics in the UM as well as to implement a CO<inline-formula><mml:math id="M231" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> condensation scheme, allowing for the interaction of these processes with dust – thus bringing more realism into our Mars simulations. Once these additional processes are implemented, the UM could be used to conduct simulations of specific Martian years (as done in <xref ref-type="bibr" rid="bib1.bibx68 bib1.bibx69" id="altparen.138"/>), investigate diurnal tides <xref ref-type="bibr" rid="bib1.bibx36 bib1.bibx12 bib1.bibx2" id="paren.139"/> or provide an additional tool in the refinement of our characterisation of the Martian climate in simulations.</p><?xmltex \hack{\newpage}?>
</sec>

      
      </body>
    <back><app-group>

<app id="App1.Ch1.S1">
  <?xmltex \currentcnt{A}?><label>Appendix A</label><title/>
      <p id="d1e3845">In this section, we include a reference table for matching Martian months, a reference table for vertical level height  and supplementary plots for Figs. 6–9 that compare two outputs at a time (as opposed to the three in the main section of this work). In Table <xref ref-type="table" rid="App1.Ch1.S1.T2"/>, months can be matched with the respective solar longitude and number of sols in that month. Mars features months that vary in their number of sols due to its orbital eccentricity, with fewer sols per month nearer perihelion and more sols per month closer to aphelion. Key months used in this study are months 3, 6, 9 and 12. In Table <xref ref-type="table" rid="App1.Ch1.S1.T3"/>, vertical levels used in this configuration are given. Vertical levels are compressed/expanded depending on orography at any given point. In Figs. <xref ref-type="fig" rid="App1.Ch1.S1.F13"/> through <xref ref-type="fig" rid="App1.Ch1.S1.F16"/> we show the RA and RI scenario outputs in the left and centre columns, respectively, with the difference between the two in the right column. In Figs. <xref ref-type="fig" rid="App1.Ch1.S1.F17"/> through <xref ref-type="fig" rid="App1.Ch1.S1.F22"/> we show the UM RA and PCM model outputs in the left and centre columns, respectively, with the difference between the two in the right column.</p><?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><table-wrap id="App1.Ch1.S1.T2"><?xmltex \currentcnt{A1}?><label>Table A1</label><caption><p id="d1e3864">Martian months, corresponding solar longitude (<inline-formula><mml:math id="M232" display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) and number of sols within that month. <inline-formula><mml:math id="M233" display="inline"><mml:mrow><mml:mn mathvariant="normal">0</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> corresponds to Northern Hemisphere spring equinox.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Month</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M234" display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">Sols</oasis:entry>
         <oasis:entry colname="col4">Sols of month</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">1</oasis:entry>
         <oasis:entry colname="col2">0–30</oasis:entry>
         <oasis:entry colname="col3">61</oasis:entry>
         <oasis:entry colname="col4">0–61</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2</oasis:entry>
         <oasis:entry colname="col2">30–60</oasis:entry>
         <oasis:entry colname="col3">66</oasis:entry>
         <oasis:entry colname="col4">61–127</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">3</oasis:entry>
         <oasis:entry colname="col2">60–90</oasis:entry>
         <oasis:entry colname="col3">66</oasis:entry>
         <oasis:entry colname="col4">127–193</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">4</oasis:entry>
         <oasis:entry colname="col2">90–120</oasis:entry>
         <oasis:entry colname="col3">65</oasis:entry>
         <oasis:entry colname="col4">193–258</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">5</oasis:entry>
         <oasis:entry colname="col2">120–150</oasis:entry>
         <oasis:entry colname="col3">60</oasis:entry>
         <oasis:entry colname="col4">258–318</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">6</oasis:entry>
         <oasis:entry colname="col2">150–180</oasis:entry>
         <oasis:entry colname="col3">54</oasis:entry>
         <oasis:entry colname="col4">318–372</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">7</oasis:entry>
         <oasis:entry colname="col2">180–210</oasis:entry>
         <oasis:entry colname="col3">50</oasis:entry>
         <oasis:entry colname="col4">327–422</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">8</oasis:entry>
         <oasis:entry colname="col2">210–240</oasis:entry>
         <oasis:entry colname="col3">46</oasis:entry>
         <oasis:entry colname="col4">422–468</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">9</oasis:entry>
         <oasis:entry colname="col2">240–270</oasis:entry>
         <oasis:entry colname="col3">47</oasis:entry>
         <oasis:entry colname="col4">468–515</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">10</oasis:entry>
         <oasis:entry colname="col2">270–300</oasis:entry>
         <oasis:entry colname="col3">47</oasis:entry>
         <oasis:entry colname="col4">515–562</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">11</oasis:entry>
         <oasis:entry colname="col2">300–330</oasis:entry>
         <oasis:entry colname="col3">51</oasis:entry>
         <oasis:entry colname="col4">562–613</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">12</oasis:entry>
         <oasis:entry colname="col2">330–360</oasis:entry>
         <oasis:entry colname="col3">56</oasis:entry>
         <oasis:entry colname="col4">613–669</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<?xmltex \floatpos{h!}?><table-wrap id="App1.Ch1.S1.T3"><?xmltex \currentcnt{A2}?><label>Table A2</label><caption><p id="d1e4124">Vertical level heights used in our Mars set-up. Values are given for a point at areoid height. This format allows for higher resolution at the surface.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.95}[.95]?><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col5" align="center"><inline-formula><mml:math id="M235" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> levels – m height </oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">25.432</oasis:entry>
         <oasis:entry colname="col2">101.72</oasis:entry>
         <oasis:entry colname="col3">228.864</oasis:entry>
         <oasis:entry colname="col4">406.872</oasis:entry>
         <oasis:entry colname="col5">635.744</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">915.464</oasis:entry>
         <oasis:entry colname="col2">1246.056</oasis:entry>
         <oasis:entry colname="col3">1627.496</oasis:entry>
         <oasis:entry colname="col4">2059.8</oasis:entry>
         <oasis:entry colname="col5">2542.968</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">3076.992</oasis:entry>
         <oasis:entry colname="col2">3661.872</oasis:entry>
         <oasis:entry colname="col3">4297.616</oasis:entry>
         <oasis:entry colname="col4">4984.216</oasis:entry>
         <oasis:entry colname="col5">5721.672</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">6509.992</oasis:entry>
         <oasis:entry colname="col2">7349.176</oasis:entry>
         <oasis:entry colname="col3">8239.208</oasis:entry>
         <oasis:entry colname="col4">9180.112</oasis:entry>
         <oasis:entry colname="col5">10 171.864</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">11 214.48</oasis:entry>
         <oasis:entry colname="col2">12 307.96</oasis:entry>
         <oasis:entry colname="col3">13 452.288</oasis:entry>
         <oasis:entry colname="col4">14 647.488</oasis:entry>
         <oasis:entry colname="col5">15 893.536</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">17 190.456</oasis:entry>
         <oasis:entry colname="col2">18 538.224</oasis:entry>
         <oasis:entry colname="col3">19 936.856</oasis:entry>
         <oasis:entry colname="col4">21 386.344</oasis:entry>
         <oasis:entry colname="col5">22 886.696</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">24 387.088</oasis:entry>
         <oasis:entry colname="col2">25 888.032</oasis:entry>
         <oasis:entry colname="col3">27 391.424</oasis:entry>
         <oasis:entry colname="col4">28 901.376</oasis:entry>
         <oasis:entry colname="col5">30 425.168</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">31 974.128</oasis:entry>
         <oasis:entry colname="col2">33 564.536</oasis:entry>
         <oasis:entry colname="col3">35 218.528</oasis:entry>
         <oasis:entry colname="col4">36 964.968</oasis:entry>
         <oasis:entry colname="col5">38 840.408</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">40 889.92</oasis:entry>
         <oasis:entry colname="col2">43 168.056</oasis:entry>
         <oasis:entry colname="col3">45 739.696</oasis:entry>
         <oasis:entry colname="col4">48 680.976</oasis:entry>
         <oasis:entry colname="col5">52 080.208</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">56 038.736</oasis:entry>
         <oasis:entry colname="col2">60 671.856</oasis:entry>
         <oasis:entry colname="col3">66 109.72</oasis:entry>
         <oasis:entry colname="col4">72 498.248</oasis:entry>
         <oasis:entry colname="col5">80 000</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col5" align="center"><inline-formula><mml:math id="M236" display="inline"><mml:mi mathvariant="italic">ρ</mml:mi></mml:math></inline-formula> levels – m height </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">12.712</oasis:entry>
         <oasis:entry colname="col2">63.576</oasis:entry>
         <oasis:entry colname="col3">165.296</oasis:entry>
         <oasis:entry colname="col4">317.872</oasis:entry>
         <oasis:entry colname="col5">521.312</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">775.608</oasis:entry>
         <oasis:entry colname="col2">1080.76</oasis:entry>
         <oasis:entry colname="col3">1436.776</oasis:entry>
         <oasis:entry colname="col4">1843.648</oasis:entry>
         <oasis:entry colname="col5">2301.384</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2809.976</oasis:entry>
         <oasis:entry colname="col2">3369.432</oasis:entry>
         <oasis:entry colname="col3">3979.744</oasis:entry>
         <oasis:entry colname="col4">4640.912</oasis:entry>
         <oasis:entry colname="col5">5352.944</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">6115.832</oasis:entry>
         <oasis:entry colname="col2">6929.584</oasis:entry>
         <oasis:entry colname="col3">7794.192</oasis:entry>
         <oasis:entry colname="col4">8709.656</oasis:entry>
         <oasis:entry colname="col5">9675.984</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">10 693.176</oasis:entry>
         <oasis:entry colname="col2">11 761.216</oasis:entry>
         <oasis:entry colname="col3">12 880.128</oasis:entry>
         <oasis:entry colname="col4">14049.888</oasis:entry>
         <oasis:entry colname="col5">15270.512</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">16 541.992</oasis:entry>
         <oasis:entry colname="col2">17 864.336</oasis:entry>
         <oasis:entry colname="col3">19 237.544</oasis:entry>
         <oasis:entry colname="col4">20 661.6</oasis:entry>
         <oasis:entry colname="col5">22 136.52</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">23 636.888</oasis:entry>
         <oasis:entry colname="col2">25 137.56</oasis:entry>
         <oasis:entry colname="col3">26 639.728</oasis:entry>
         <oasis:entry colname="col4">28 146.4</oasis:entry>
         <oasis:entry colname="col5">29 663.272</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">31 199.648</oasis:entry>
         <oasis:entry colname="col2">32 769.336</oasis:entry>
         <oasis:entry colname="col3">34 391.528</oasis:entry>
         <oasis:entry colname="col4">36 091.744</oasis:entry>
         <oasis:entry colname="col5">37 902.688</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">39 865.168</oasis:entry>
         <oasis:entry colname="col2">42 028.992</oasis:entry>
         <oasis:entry colname="col3">44 453.872</oasis:entry>
         <oasis:entry colname="col4">47 210.336</oasis:entry>
         <oasis:entry colname="col5">50 380.592</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">54 059.472</oasis:entry>
         <oasis:entry colname="col2">58 355.296</oasis:entry>
         <oasis:entry colname="col3">63 390.784</oasis:entry>
         <oasis:entry colname="col4">69 303.984</oasis:entry>
         <oasis:entry colname="col5">76 249.128</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

<?xmltex \hack{\newpage}?><?xmltex \floatpos{h!}?><table-wrap id="App1.Ch1.S1.T4"><?xmltex \currentcnt{A3}?><label>Table A3</label><caption><p id="d1e4541">Dust refractive index used, as described in <xref ref-type="bibr" rid="bib1.bibx3" id="text.140"/>.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.80}[.80]?><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col4" align="center">Dust refractive index </oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Number</oasis:entry>
         <oasis:entry colname="col2">Wavelength (m)</oasis:entry>
         <oasis:entry colname="col3">Real part</oasis:entry>
         <oasis:entry colname="col4">Imaginary part</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">1</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M237" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.00</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.520</oasis:entry>
         <oasis:entry colname="col4">0.001560</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M238" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.50</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.520</oasis:entry>
         <oasis:entry colname="col4">0.001560</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">3</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M239" display="inline"><mml:mrow><mml:mn mathvariant="normal">3.00</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.520</oasis:entry>
         <oasis:entry colname="col4">0.001560</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">4</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M240" display="inline"><mml:mrow><mml:mn mathvariant="normal">3.37</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.520</oasis:entry>
         <oasis:entry colname="col4">0.001550</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">5</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M241" display="inline"><mml:mrow><mml:mn mathvariant="normal">4.00</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.520</oasis:entry>
         <oasis:entry colname="col4">0.001620</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">6</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M242" display="inline"><mml:mrow><mml:mn mathvariant="normal">4.88</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.520</oasis:entry>
         <oasis:entry colname="col4">0.001710</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">7</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M243" display="inline"><mml:mrow><mml:mn mathvariant="normal">5.15</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.520</oasis:entry>
         <oasis:entry colname="col4">0.001540</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">8</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M244" display="inline"><mml:mrow><mml:mn mathvariant="normal">5.50</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.520</oasis:entry>
         <oasis:entry colname="col4">0.001470</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">9</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M245" display="inline"><mml:mrow><mml:mn mathvariant="normal">6.33</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.520</oasis:entry>
         <oasis:entry colname="col4">0.001540</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">10</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M246" display="inline"><mml:mrow><mml:mn mathvariant="normal">6.94</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.520</oasis:entry>
         <oasis:entry colname="col4">0.001290</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">11</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M247" display="inline"><mml:mrow><mml:mn mathvariant="normal">8.60</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.520</oasis:entry>
         <oasis:entry colname="col4">0.000940</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">12</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M248" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.06</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.520</oasis:entry>
         <oasis:entry colname="col4">0.000669</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">13</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M249" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.30</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.510</oasis:entry>
         <oasis:entry colname="col4">0.000601</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">14</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M250" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.54</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.510</oasis:entry>
         <oasis:entry colname="col4">0.000537</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">15</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M251" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.80</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.510</oasis:entry>
         <oasis:entry colname="col4">0.000471</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">16</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M252" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.00</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.510</oasis:entry>
         <oasis:entry colname="col4">0.000473</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">17</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M253" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.25</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.510</oasis:entry>
         <oasis:entry colname="col4">0.000495</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">18</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M254" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.50</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.510</oasis:entry>
         <oasis:entry colname="col4">0.000672</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">19</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M255" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.70</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.510</oasis:entry>
         <oasis:entry colname="col4">0.001100</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">20</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M256" display="inline"><mml:mrow><mml:mn mathvariant="normal">3.00</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.500</oasis:entry>
         <oasis:entry colname="col4">0.001780</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">21</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M257" display="inline"><mml:mrow><mml:mn mathvariant="normal">3.20</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.500</oasis:entry>
         <oasis:entry colname="col4">0.002250</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">22</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M258" display="inline"><mml:mrow><mml:mn mathvariant="normal">3.39</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.500</oasis:entry>
         <oasis:entry colname="col4">0.002710</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">23</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M259" display="inline"><mml:mrow><mml:mn mathvariant="normal">3.50</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.500</oasis:entry>
         <oasis:entry colname="col4">0.002970</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">24</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M260" display="inline"><mml:mrow><mml:mn mathvariant="normal">3.75</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.490</oasis:entry>
         <oasis:entry colname="col4">0.003610</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">25</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M261" display="inline"><mml:mrow><mml:mn mathvariant="normal">4.00</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.490</oasis:entry>
         <oasis:entry colname="col4">0.004270</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">26</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M262" display="inline"><mml:mrow><mml:mn mathvariant="normal">4.50</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.450</oasis:entry>
         <oasis:entry colname="col4">0.005780</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">27</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M263" display="inline"><mml:mrow><mml:mn mathvariant="normal">5.00</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.410</oasis:entry>
         <oasis:entry colname="col4">0.007700</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">28</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M264" display="inline"><mml:mrow><mml:mn mathvariant="normal">5.50</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.360</oasis:entry>
         <oasis:entry colname="col4">0.009540</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">29</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M265" display="inline"><mml:mrow><mml:mn mathvariant="normal">6.00</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.290</oasis:entry>
         <oasis:entry colname="col4">0.023400</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">30</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M266" display="inline"><mml:mrow><mml:mn mathvariant="normal">6.20</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.240</oasis:entry>
         <oasis:entry colname="col4">0.037400</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">31</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M267" display="inline"><mml:mrow><mml:mn mathvariant="normal">6.50</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.130</oasis:entry>
         <oasis:entry colname="col4">0.166000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">32</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M268" display="inline"><mml:mrow><mml:mn mathvariant="normal">7.20</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.390</oasis:entry>
         <oasis:entry colname="col4">0.080500</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">33</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M269" display="inline"><mml:mrow><mml:mn mathvariant="normal">7.90</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.080</oasis:entry>
         <oasis:entry colname="col4">0.051200</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">34</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M270" display="inline"><mml:mrow><mml:mn mathvariant="normal">8.20</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">0.792</oasis:entry>
         <oasis:entry colname="col4">0.255000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">35</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M271" display="inline"><mml:mrow><mml:mn mathvariant="normal">8.50</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.010</oasis:entry>
         <oasis:entry colname="col4">0.504000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">36</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M272" display="inline"><mml:mrow><mml:mn mathvariant="normal">8.70</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.090</oasis:entry>
         <oasis:entry colname="col4">0.552000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">37</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M273" display="inline"><mml:mrow><mml:mn mathvariant="normal">9.00</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.300</oasis:entry>
         <oasis:entry colname="col4">0.714000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">38</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M274" display="inline"><mml:mrow><mml:mn mathvariant="normal">9.20</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.380</oasis:entry>
         <oasis:entry colname="col4">0.758000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">39</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M275" display="inline"><mml:mrow><mml:mn mathvariant="normal">9.50</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">2.140</oasis:entry>
         <oasis:entry colname="col4">0.843000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">40</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M276" display="inline"><mml:mrow><mml:mn mathvariant="normal">9.80</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">2.540</oasis:entry>
         <oasis:entry colname="col4">0.631000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">41</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M277" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.00</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">2.480</oasis:entry>
         <oasis:entry colname="col4">0.411000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">42</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M278" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.06</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.950</oasis:entry>
         <oasis:entry colname="col4">0.126000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">43</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M279" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.10</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.830</oasis:entry>
         <oasis:entry colname="col4">0.143000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">44</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M280" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.15</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.810</oasis:entry>
         <oasis:entry colname="col4">0.135000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">45</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M281" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.25</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.630</oasis:entry>
         <oasis:entry colname="col4">0.160000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">46</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M282" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.30</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.720</oasis:entry>
         <oasis:entry colname="col4">0.115000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">47</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M283" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.40</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.460</oasis:entry>
         <oasis:entry colname="col4">0.165000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">48</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M284" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.48</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.500</oasis:entry>
         <oasis:entry colname="col4">0.124000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">49</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M285" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.50</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.470</oasis:entry>
         <oasis:entry colname="col4">0.125000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">50</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M286" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.64</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.250</oasis:entry>
         <oasis:entry colname="col4">0.258000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">51</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M287" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.72</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.200</oasis:entry>
         <oasis:entry colname="col4">0.413000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">52</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M288" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.80</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.170</oasis:entry>
         <oasis:entry colname="col4">0.593000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">53</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M289" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.85</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.190</oasis:entry>
         <oasis:entry colname="col4">0.776000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">54</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M290" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.00</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.420</oasis:entry>
         <oasis:entry colname="col4">0.950000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">55</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M291" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.13</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.670</oasis:entry>
         <oasis:entry colname="col4">1.490000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">56</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M292" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.25</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">2.840</oasis:entry>
         <oasis:entry colname="col4">0.874000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">57</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M293" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.50</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.920</oasis:entry>
         <oasis:entry colname="col4">0.652000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">58</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M294" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.79</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">2.070</oasis:entry>
         <oasis:entry colname="col4">0.393000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">59</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M295" display="inline"><mml:mrow><mml:mn mathvariant="normal">3.00</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.850</oasis:entry>
         <oasis:entry colname="col4">0.592000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">60</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M296" display="inline"><mml:mrow><mml:mn mathvariant="normal">3.50</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.670</oasis:entry>
         <oasis:entry colname="col4">0.538000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">61</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M297" display="inline"><mml:mrow><mml:mn mathvariant="normal">4.00</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.630</oasis:entry>
         <oasis:entry colname="col4">0.555000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">62</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M298" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.00</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">1.630</oasis:entry>
         <oasis:entry colname="col4">0.554000</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><fig id="App1.Ch1.S1.F13"><?xmltex \currentcnt{A1}?><?xmltex \def\figurename{Figure}?><label>Figure A1</label><caption><p id="d1e6523">Zonal mean zonal winds (m s<inline-formula><mml:math id="M299" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) across four seasons within the Martian year. For each month, the time average is taken of all sols within that month. The RA dust scenario is shown on the left, the RI dust scenario in the centre and the differences between scenarios on the right. Colour scales in the left-hand and right-hand plots are matched across all months and between scenarios, with contour intervals of 20 m s<inline-formula><mml:math id="M300" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The contours in the difference plots are not matched due to the varying intensity of the difference between months. Positive values indicate a northward wind and negative values a southward wind.</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f13.png"/>

      </fig>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><fig id="App1.Ch1.S1.F14"><?xmltex \currentcnt{A2}?><?xmltex \def\figurename{Figure}?><label>Figure A2</label><caption><p id="d1e6561">Zonal mean meridional winds (m s<inline-formula><mml:math id="M301" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) across four seasons within the Martian year. For each month, the time average is taken of all sols within that month. The RA dust scenario is shown on the left, the RI dust scenario in the centre and the differences between scenarios on the right. Colour scales in the left-hand and centre plots are matched across all months and between scenarios, with contour intervals of 2 m s<inline-formula><mml:math id="M302" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The contours in the difference plots are not matched due to the varying intensity of the difference between months. Positive values indicate an eastward wind and negative values a westward wind.</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f14.png"/>

      </fig>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><fig id="App1.Ch1.S1.F15"><?xmltex \currentcnt{A3}?><?xmltex \def\figurename{Figure}?><label>Figure A3</label><caption><p id="d1e6600">Zonal mean air temperature (K) across four seasons within the Martian year. For each month, the time average is taken of all sols within that month. The RA dust scenario is shown on the left, the RI dust scenario in the centre and the differences between scenarios on the right. Colour scales in the left-hand and right-hand plots are matched across all months and between scenarios, with contour intervals of 10 K. The contours in the difference plots are not matched due to the varying intensity of the difference between months.</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f15.png"/>

      </fig>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><fig id="App1.Ch1.S1.F16"><?xmltex \currentcnt{A4}?><?xmltex \def\figurename{Figure}?><label>Figure A4</label><caption><p id="d1e6614">Zonal mean dust mass mixing ratio (kg kg<inline-formula><mml:math id="M303" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) across four seasons within the Martian year; each month is the average taken of all sols within that month (months according to Table <xref ref-type="table" rid="App1.Ch1.S1.T2"/>). The RA dust scenario is shown on the left, the RI dust scenario in the centre and the differences between scenarios on the right. Contour lines denote the mass mixing ratio and units are in kg kg<inline-formula><mml:math id="M304" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Note that, due to the wide range of values present between months, the colour-scale ranges differ between months and scenarios for this figure.</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f16.png"/>

      </fig>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><fig id="App1.Ch1.S1.F17"><?xmltex \currentcnt{A5}?><?xmltex \def\figurename{Figure}?><label>Figure A5</label><caption><p id="d1e6654">Dust mass mixing ratio (kg kg<inline-formula><mml:math id="M305" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and horizontal wind speed (m s<inline-formula><mml:math id="M306" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) at <inline-formula><mml:math id="M307" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.99</mml:mn></mml:mrow></mml:math></inline-formula> across four seasons within the Martian year; each month is the average taken of all sols within that month (months according to Table <xref ref-type="table" rid="App1.Ch1.S1.T2"/>). The RA dust scenario is shown on the left, the RI dust scenario in the centre and the differences between scenarios on the right. Colour scales in the left-hand and centre plots are matched across all months and between scenarios. The contours in the difference plots are matched across months.</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f17.jpg"/>

      </fig>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><fig id="App1.Ch1.S1.F18"><?xmltex \currentcnt{A6}?><?xmltex \def\figurename{Figure}?><label>Figure A6</label><caption><p id="d1e6707">Zonal mean zonal winds (m s<inline-formula><mml:math id="M308" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) across four seasons within the Martian year. For each month, the time average is taken of all sols within that month. The RA dust scenario is shown on the left, the PCM output in the centre and the differences between models on the right. Colour scales in the left-hand and right-hand plots are matched across all months and between models, with contour intervals of 20 m s<inline-formula><mml:math id="M309" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The contours in the difference plots are not matched due to the varying intensity of the difference between months. Positive values indicate a northward wind and negative values a southward wind.</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f18.png"/>

      </fig>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><fig id="App1.Ch1.S1.F19"><?xmltex \currentcnt{A7}?><?xmltex \def\figurename{Figure}?><label>Figure A7</label><caption><p id="d1e6745">Zonal mean meridional winds (m s<inline-formula><mml:math id="M310" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) across four seasons within the Martian year. For each month, the time average is taken of all sols within that month. The RA dust scenario is shown on the left, the PCM output in the centre and the differences between models on the right. Colour scales in the left-hand and right-hand plots are matched across all months and between models, with contour intervals of 2 m s<inline-formula><mml:math id="M311" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The contours in the difference plots are not matched due to the varying intensity of the difference between months. Positive values indicate an eastward wind and negative values a westward wind.</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f19.png"/>

      </fig>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><fig id="App1.Ch1.S1.F20"><?xmltex \currentcnt{A8}?><?xmltex \def\figurename{Figure}?><label>Figure A8</label><caption><p id="d1e6783">Zonal mean air temperature (K) across four seasons within the Martian year. For each month, the time average is taken of all sols within that month. The RA dust scenario is shown on the left, the PCM output in the centre and the differences between models on the right. Colour scales in the left-hand and right-hand plots are matched across all months and between models, with contour intervals of 10 K. The contours in the difference plots are not matched due to the varying intensity of the difference between months.</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f20.png"/>

      </fig>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><fig id="App1.Ch1.S1.F21"><?xmltex \currentcnt{A9}?><?xmltex \def\figurename{Figure}?><label>Figure A9</label><caption><p id="d1e6798">Zonal mean dust mass mixing ratio (kg kg<inline-formula><mml:math id="M312" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) across four seasons within the Martian year; each month is the average taken of all sols within that month (months according to Table <xref ref-type="table" rid="App1.Ch1.S1.T2"/>). The RA dust scenario is shown on the left, the PCM output in the centre and the differences between models on the right. Contour lines denote the mass mixing ratio and units are in kg kg<inline-formula><mml:math id="M313" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Note that, due to the wide range of values present between months, the colour scale ranges differ between months and scenarios for this figure.</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f21.png"/>

      </fig>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><fig id="App1.Ch1.S1.F22"><?xmltex \currentcnt{A10}?><?xmltex \def\figurename{Figure}?><label>Figure A10</label><caption><p id="d1e6838">Dust mass mixing ratio (kg kg<inline-formula><mml:math id="M314" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and horizontal wind speed (m s<inline-formula><mml:math id="M315" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) at <inline-formula><mml:math id="M316" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.99</mml:mn></mml:mrow></mml:math></inline-formula> across four seasons within the Martian year; each month is the average taken of all sols within that month (months according to Table <xref ref-type="table" rid="App1.Ch1.S1.T2"/>). The RA dust scenario is shown on the left, the PCM output in the centre and the differences between models on the right. Colour scales in the left-hand and centre plots are matched across all months and between models. The contours in the difference plots are matched across months.</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/16/621/2023/gmd-16-621-2023-f22.jpg"/>

      </fig>

</app>
  </app-group><notes notes-type="codeavailability"><title>Code availability</title>

      <p id="d1e6891">Scripts to process and visualise the post-processed UM data used in this study, alongside package requirements and tutorials, are available as a Zenodo dataset: <uri>https://doi.org/10.5281/zenodo.6974260</uri> <xref ref-type="bibr" rid="bib1.bibx63" id="paren.141"/>. If you do use those data, then please cite this paper and add the following statement: “UM data have been obtained from <uri>https://doi.org/10.5281/zenodo.6974260</uri>”.</p>
    <?xmltex \hack{\newpage}?>

      <p id="d1e6905"><?xmltex \hack{\vspace*{17.2cm}}?>Due to intellectual property right restrictions, we cannot provide either the source code or documentation papers for the UM or JULES. The Met Office Unified Model is available for use under licence. A number of research organisations and national meteorological services use the UM in collaboration with the Met Office to undertake basic atmospheric process research, produce forecasts, develop the UM code, and build and evaluate Earth system models. For further information on how to apply for a licence, see <uri>https://www.metoffice.gov.uk/research/approach/modelling-systems/unified-model</uri> (last access: 18 April 2022). Obtaining JULES: JULES is available under licence free of charge. For further information on how to gain permission to use JULES for research purposes, see <uri>http://jules-lsm.github.io/access_req/JULES_access.html</uri> (last access: 3 April 2022). UM–JULES simulations are compiled and run in suites developed using the Rose suite engine (<uri>http://metomi.github.io/rose/doc/html/index.html</uri>, last access: 16 January 2023) and scheduled using the cylc workflow engine (<uri>https://cylc.github.io/</uri>, <xref ref-type="bibr" rid="bib1.bibx78" id="altparen.142"/>). Both Rose and cylc are available under v3 of the GNU General Public License (GPL). In this framework, the suite contains the information required to extract and build the code as well as configure and run the simulations. Each suite is labelled with a unique identifier and is held in the same revision-controlled repository service in which we hold and develop the model code. This means that these suites are available to any licensed user of both the UM and JULES.</p>
  </notes><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e6927">A post-processed dataset is provided in <xref ref-type="bibr" rid="bib1.bibx63" id="text.143"/> (<ext-link xlink:href="https://doi.org/10.5281/zenodo.6974260" ext-link-type="DOI">10.5281/zenodo.6974260</ext-link>). This dataset contains the zonally meaned outputs from the UM RA and RI scenarios. For PCM data, please contact the MCD team (<uri>http://www-mars.lmd.jussieu.fr/mars/info_web/index.html</uri>, last
access: 16 January 23).</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e6942">DM led the writing and suite development with supervision from DES, NM, and MB. JM, BD and IB provided assistance in tuning the model and provided thorough descriptions on how they work. KK provided technical support in IT infrastructure to access the model code and Monsoon2 system. The paper was reviewed and contributed to by all the co-authors.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e6948">The contact author has declared that none of the authors has any competing interests.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d1e6954">Publisher’s note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e6960">We thank two anonymous reviewers for their comments that helped improve this paper.
We would like to thank the wider Exeter Exoplanet Theory Group for their feedback and support in UM development, as well as Patrick McGuire from the University of Reading for acting as a springboard for ideas. The authors also acknowledge the MCD data team: François Forget, Aymeric Spiga, Ehouarn Millour, for providing freely accessible Mars climate data at <uri>http://www-mars.lmd.jussieu.fr/mars/info_web/index.html</uri> (last access: 6 March 2023). Material produced using Met Office Software. We acknowledge use of the Monsoon2 system, a collaborative facility supplied under the Joint Weather and Climate Research Programme, a strategic partnership between the Met Office and the Natural Environment Research Council. This work was partly supported
by a Science and Technology Facilities Council Consolidated
Grant (ST/R000395/1), a Leverhulme Trust research project
grant (RPG-2020-82) and a UKRI Future Leaders Fellowship (grant
no. MR/T040866/1). For the purpose of open access, the authors have applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e6968">This work was partly supported by a Science and Technology Facilities Council Consolidated Grant (grant no. ST/R000395/1), a Leverhulme Trust research project grant (grant no. RPG-2020-82) and a UKRI Future Leaders Fellowship (grant no. MR/T040866/1).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e6974">This paper was edited by Jinkyu Hong and reviewed by two anonymous referees.</p>
  </notes><ref-list>
    <title>References</title>

      <ref id="bib1.bibx1"><?xmltex \def\ref@label{{Aharonson et~al.(2004)Aharonson, Zuber, Smith, Neumann, Feldman, and
Prettyman}}?><label>Aharonson et al.(2004)Aharonson, Zuber, Smith, Neumann, Feldman, and
Prettyman</label><?label Aharonson2004?><mixed-citation>Aharonson, O., Zuber, M. T., Smith, D. E., Neumann, G. A., Feldman, W. C., and
Prettyman, T. H.: Depth, distribution, and density of CO<inline-formula><mml:math id="M317" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> deposition on
Mars, J. Geophys. Res.-Planet., 109, E05004,
<ext-link xlink:href="https://doi.org/10.1029/2003JE002223" ext-link-type="DOI">10.1029/2003JE002223</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bibx2"><?xmltex \def\ref@label{{Atri et~al.(2023)Atri, Abdelmoneim, Dhuri, and Simoni}}?><label>Atri et al.(2023)Atri, Abdelmoneim, Dhuri, and Simoni</label><?label Atri2022?><mixed-citation>Atri, D., Abdelmoneim, N., Dhuri, D. B., and Simoni, M.: Diurnal variation of
the surface temperature of Mars with the Emirates Mars Mission: A comparison
with Curiosity and Perseverance rover measurements, Monthly Notices of the
Royal Astronomical Society: Letters, 518, L1–L6,
<ext-link xlink:href="https://doi.org/10.1093/mnrasl/slac094" ext-link-type="DOI">10.1093/mnrasl/slac094</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bibx3"><?xmltex \def\ref@label{{Balkanski et~al.(2007)Balkanski, Schulz, Claquin, and
Guibert}}?><label>Balkanski et al.(2007)Balkanski, Schulz, Claquin, and
Guibert</label><?label Balkanski2007?><mixed-citation>Balkanski, Y., Schulz, M., Claquin, T., and Guibert, S.: Reevaluation of Mineral aerosol radiative forcings suggests a better agreement with satellite and AERONET data, Atmos. Chem. Phys., 7, 81–95, <ext-link xlink:href="https://doi.org/10.5194/acp-7-81-2007" ext-link-type="DOI">10.5194/acp-7-81-2007</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bibx4"><?xmltex \def\ref@label{{Ball et~al.(2021)Ball, Mitchell, Seviour, Thomson, and
Vallis}}?><label>Ball et al.(2021)Ball, Mitchell, Seviour, Thomson, and
Vallis</label><?label Ball2021?><mixed-citation>Ball, E. R., Mitchell, D. M., Seviour, W. J. M., Thomson, S. I., and Vallis,
G. K.: The Roles of Latent Heating and Dust in the Structure and Variability
of the Northern Martian Polar Vortex, The Planetary Science Journal, 2, 203,
<ext-link xlink:href="https://doi.org/10.3847/psj/ac1ba2" ext-link-type="DOI">10.3847/psj/ac1ba2</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx5"><?xmltex \def\ref@label{{Banfield et~al.(2020)Banfield, Spiga, Newman, Forget, Lemmon, Lorenz,
Murdoch, Viudez-Moreiras, Pla-Garcia, Garcia, Lognonn\'{e}, Karatekin,
Perrin, Martire, Teanby, Hove, Maki, Kenda, Mueller, Rodriguez, Kawamura,
McClean, Stott, Charalambous, Millour, Johnson, Mittelholz,
M\"{a}\"{a}tt\"{a}nen, Lewis, Clinton, St\"{a}hler, Ceylan, Giardini,
Warren, Pike, Daubar, Golombek, Rolland, Widmer-Schnidrig, Mimoun, Beucler,
Jacob, Lucas, Baker, Ansan, Hurst, Mora-Sotomayor, Navarro, Torres,
Lepinette, Molina, Marin-Jimenez, Gomez-Elvira, Peinado, Rodriguez-Manfredi,
Carcich, Sackett, Russell, Spohn, Smrekar, and Banerdt}}?><label>Banfield et al.(2020)Banfield, Spiga, Newman, Forget, Lemmon, Lorenz,
Murdoch, Viudez-Moreiras, Pla-Garcia, Garcia, Lognonné, Karatekin,
Perrin, Martire, Teanby, Hove, Maki, Kenda, Mueller, Rodriguez, Kawamura,
McClean, Stott, Charalambous, Millour, Johnson, Mittelholz,
Määttänen, Lewis, Clinton, Stähler, Ceylan, Giardini,
Warren, Pike, Daubar, Golombek, Rolland, Widmer-Schnidrig, Mimoun, Beucler,
Jacob, Lucas, Baker, Ansan, Hurst, Mora-Sotomayor, Navarro, Torres,
Lepinette, Molina, Marin-Jimenez, Gomez-Elvira, Peinado, Rodriguez-Manfredi,
Carcich, Sackett, Russell, Spohn, Smrekar, and Banerdt</label><?label Banfield2020?><mixed-citation>Banfield, D., Spiga, A., Newman, C., Forget, F., Lemmon, M., Lorenz, R.,
Murdoch, N., Viudez-Moreiras, D., Pla-Garcia, J., Garcia, R. F.,
Lognonné, P., Karatekin, Ã., Perrin, C., Martire, L., Teanby, N., Hove,
B. V., Maki, J. N., Kenda, B., Mueller, N. T., Rodriguez, S., Kawamura, T.,
McClean, J. B., Stott, A. E., Charalambous, C., Millour, E., Johnson, C. L.,
Mittelholz, A., Määttänen, A., Lewis, S. R., Clinton, J.,
Stähler, S. C., Ceylan, S., Giardini, D., Warren, T., Pike, W. T.,
Daubar, I., Golombek, M., Rolland, L., Widmer-Schnidrig, R., Mimoun, D.,
Beucler, E., Jacob, A., Lucas, A., Baker, M., Ansan, V., Hurst, K.,
Mora-Sotomayor, L., Navarro, S., Torres, J., Lepinette, A., Molina, A.,
Marin-Jimenez, M., Gomez-Elvira, J., Peinado, V., Rodriguez-Manfredi, J. A.,
Carcich, B. T., Sackett, S., Russell, C. T., Spohn, T., Smrekar, S. E., and
Banerdt, W. B.: The atmosphere of Mars as observed by InSight, Nat.
Geosci., 13, 190–198, <ext-link xlink:href="https://doi.org/10.1038/s41561-020-0534-0" ext-link-type="DOI">10.1038/s41561-020-0534-0</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx6"><?xmltex \def\ref@label{{Benacchio and Wood(2016)}}?><label>Benacchio and Wood(2016)</label><?label Benacchio2016?><mixed-citation>Benacchio, T. and Wood, N.: Semi-implicit semi-Lagrangian modelling of the
atmosphere: a Met Office perspective, Communications in Applied and
Industrial Mathematics, 7, 4–25, <ext-link xlink:href="https://doi.org/10.1515/caim-2016-0020" ext-link-type="DOI">10.1515/caim-2016-0020</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx7"><?xmltex \def\ref@label{{Bonev et~al.(2008)Bonev, Hansen, Glenar, James, and
Bjorkman}}?><label>Bonev et al.(2008)Bonev, Hansen, Glenar, James, and
Bjorkman</label><?label Bonev2008?><mixed-citation>Bonev, B. P., Hansen, G. B., Glenar, D. A., James, P. B., and Bjorkman, J. E.:
Albedo models for the residual south polar cap on Mars: Implications for the
stability of the cap under near-perihelion global dust storm conditions,
Planet. Space Sci., 56, 181–193, <ext-link xlink:href="https://doi.org/10.1016/j.pss.2007.08.003" ext-link-type="DOI">10.1016/j.pss.2007.08.003</ext-link>,
2008.</mixed-citation></ref>
      <ref id="bib1.bibx8"><?xmltex \def\ref@label{{Boutle et~al.(2017)Boutle, Mayne, Drummond, Manners, Goyal,
Hugo~Lambert, Acreman, and Earnshaw}}?><label>Boutle et al.(2017)Boutle, Mayne, Drummond, Manners, Goyal,
Hugo Lambert, Acreman, and Earnshaw</label><?label Boutle2017?><mixed-citation>Boutle, I. A., Mayne, N. J., Drummond, B., Manners, J., Goyal, J.,
Hugo Lambert, F., Acreman, D. M., and Earnshaw, P. D.: Exploring the climate
of Proxima B with the Met Office Unified Model, Astron. Astrophys.,
601, A120, <ext-link xlink:href="https://doi.org/10.1051/0004-6361/201630020" ext-link-type="DOI">10.1051/0004-6361/201630020</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx9"><?xmltex \def\ref@label{{Boutle et~al.(2020)Boutle, Joshi, Lambert, Mayne, Lyster, Manners,
Ridgway, and Kohary}}?><label>Boutle et al.(2020)Boutle, Joshi, Lambert, Mayne, Lyster, Manners,
Ridgway, and Kohary</label><?label Boutle2020?><mixed-citation>Boutle, I. A., Joshi, M., Lambert, F. H., Mayne, N. J., Lyster, D., Manners,
J., Ridgway, R., and Kohary, K.: Mineral dust increases the habitability of
terrestrial planets but confounds biomarker detection, Nat.
Commun., 11, 2731, <ext-link xlink:href="https://doi.org/10.1038/s41467-020-16543-8" ext-link-type="DOI">10.1038/s41467-020-16543-8</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx10"><?xmltex \def\ref@label{{Brown et~al.(2014)Brown, Piqueux, and Titus}}?><label>Brown et al.(2014)Brown, Piqueux, and Titus</label><?label Brown2014?><mixed-citation>Brown, A. J., Piqueux, S., and Titus, T. N.: Interannual observations and
quantification of summertime H<inline-formula><mml:math id="M318" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O ice deposition on the Martian CO<inline-formula><mml:math id="M319" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> ice south
polar cap, Earth Planet. Sc. Lett., 406, 102–109,
<ext-link xlink:href="https://doi.org/10.1016/j.epsl.2014.08.039" ext-link-type="DOI">10.1016/j.epsl.2014.08.039</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx11"><?xmltex \def\ref@label{{Chaffin et~al.(2021)Chaffin, Kass, Aoki, Fedorova, Deighan, Connour,
Heavens, Kleinb\"{o}hl, Jain, Chaufray, Mayyasi, Clarke, Stewart, Evans,
Stevens, McClintock, Crismani, Holsclaw, Lefevre, Lo, Montmessin, Schneider,
Jakosky, Villanueva, Liuzzi, Daerden, Thomas, Lopez-Moreno, Patel, Bellucci,
Ristic, Erwin, Vandaele, Trokhimovskiy, and Korablev}}?><label>Chaffin et al.(2021)Chaffin, Kass, Aoki, Fedorova, Deighan, Connour,
Heavens, Kleinböhl, Jain, Chaufray, Mayyasi, Clarke, Stewart, Evans,
Stevens, McClintock, Crismani, Holsclaw, Lefevre, Lo, Montmessin, Schneider,
Jakosky, Villanueva, Liuzzi, Daerden, Thomas, Lopez-Moreno, Patel, Bellucci,
Ristic, Erwin, Vandaele, Trokhimovskiy, and Korablev</label><?label Chaffin2021?><mixed-citation>Chaffin, M. S., Kass, D. M., Aoki, S., Fedorova, A. A., Deighan, J., Connour,
K., Heavens, N. G., Kleinböhl, A., Jain, S. K., Chaufray, J.-Y.,
Mayyasi, M., Clarke, J. T., Stewart, A. I. F., Evans, J. S., Stevens, M. H.,
McClintock, W. E., Crismani, M. M. J., Holsclaw, G. M., Lefevre, F., Lo,
D. Y., Montmessin, F., Schneider, N. M., Jakosky, B., Villanueva, G., Liuzzi,
G., Daerden, F., Thomas, I. R., Lopez-Moreno, J.-J., Patel, M. R., Bellucci,
G., Ristic, B., Erwin, J. T., Vandaele, A. C., Trokhimovskiy, A., and
Korablev, O. I.: Martian water loss to space enhanced by regional dust
storms, Nature Astronomy, 5, 1036–1042, <ext-link xlink:href="https://doi.org/10.1038/s41550-021-01425-w" ext-link-type="DOI">10.1038/s41550-021-01425-w</ext-link>,
2021.</mixed-citation></ref>
      <ref id="bib1.bibx12"><?xmltex \def\ref@label{{Chapman et~al.(2017)Chapman, Lewis, Balme, and Steele}}?><label>Chapman et al.(2017)Chapman, Lewis, Balme, and Steele</label><?label Chapman2017?><mixed-citation>Chapman, R. M., Lewis, S. R., Balme, M., and Steele, L. J.: Diurnal variation
in martian dust devil activity, Icarus, 292, 154–167,
<ext-link xlink:href="https://doi.org/10.1016/j.icarus.2017.01.003" ext-link-type="DOI">10.1016/j.icarus.2017.01.003</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx13"><?xmltex \def\ref@label{{Cola{\"{i}}tis et~al.(2013)Cola{\"{i}}tis, Spiga, Hourdin, Rio,
Forget, and Millour}}?><label>Colaïtis et al.(2013)Colaïtis, Spiga, Hourdin, Rio,
Forget, and Millour</label><?label Colaitis2013a?><mixed-citation>Colaïtis, A., Spiga, A., Hourdin, F., Rio, C., Forget, F., and Millour,
E.: A thermal plume model for the Martian convective boundary layer,
J. Geophys. Res.-Planet., 118, 1468–1487,
<ext-link xlink:href="https://doi.org/10.1002/jgre.20104" ext-link-type="DOI">10.1002/jgre.20104</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx14"><?xmltex \def\ref@label{{Cooper et~al.(2021)Cooper, Torre~Ju\'{a}rez, Mischna, Lemmon,
Mart\'{i}nez, Kass, Vasavada, Campbell, and Moores}}?><label>Cooper et al.(2021)Cooper, Torre Juárez, Mischna, Lemmon,
Martínez, Kass, Vasavada, Campbell, and Moores</label><?label Cooper2021?><mixed-citation>Cooper, B., Torre Juárez, M., Mischna, M., Lemmon, M., Martínez,
G., Kass, D., Vasavada, A. R., Campbell, C., and Moores, J.: Thermal Forcing
of the Nocturnal Near Surface Environment by Martian Water Ice Clouds,
J. Geophys. Res.-Planet., 126, e2020JE006737,
<ext-link xlink:href="https://doi.org/10.1029/2020je006737" ext-link-type="DOI">10.1029/2020je006737</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx15"><?xmltex \def\ref@label{{Drummond et~al.(2018)Drummond, Mayne, Baraffe, Tremblin, Manners,
Amundsen, Goyal, and Acreman}}?><label>Drummond et al.(2018)Drummond, Mayne, Baraffe, Tremblin, Manners,
Amundsen, Goyal, and Acreman</label><?label Drummond2018?><mixed-citation>Drummond, B., Mayne, N. J., Baraffe, I., Tremblin, P., Manners, J., Amundsen,
D. S., Goyal, J., and Acreman, D.: The effect of metallicity on the
atmospheres of exoplanets with fully coupled 3D hydrodynamics, equilibrium
chemistry, and radiative transfer, Astron. Astrophys., 612, A105,
<ext-link xlink:href="https://doi.org/10.1051/0004-6361/201732010" ext-link-type="DOI">10.1051/0004-6361/201732010</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx16"><?xmltex \def\ref@label{{Eager-Nash et~al.(2020)Eager-Nash, Reichelt, Mayne, Hugo~Lambert,
Sergeev, Ridgway, Manners, Boutle, Lenton, and Kohary}}?><label>Eager-Nash et al.(2020)Eager-Nash, Reichelt, Mayne, Hugo Lambert,
Sergeev, Ridgway, Manners, Boutle, Lenton, and Kohary</label><?label Eager2020?><mixed-citation>Eager-Nash, J. K., Reichelt, D. J., Mayne, N. J., Hugo Lambert, F., Sergeev,
D. E., Ridgway, R. J., Manners, J., Boutle, I. A., Lenton, T. M., and Kohary,
K.: Implications of different stellar spectra for the climate of tidally
locked Earth-like exoplanets, Astron. Astrophys., 639, A99,
<ext-link xlink:href="https://doi.org/10.1051/0004-6361/202038089" ext-link-type="DOI">10.1051/0004-6361/202038089</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx17"><?xmltex \def\ref@label{{Edwards and Slingo(1996)}}?><label>Edwards and Slingo(1996)</label><?label Edwards1996?><mixed-citation>Edwards, J. M. and Slingo, A.: Studies with a flexible new radiation code. I:
Choosing a configuration for a large-scale model, Q. J.
Roy. Meteor. Soc., 122, 689–719, <ext-link xlink:href="https://doi.org/10.1256/smsqj.53106" ext-link-type="DOI">10.1256/smsqj.53106</ext-link>, 1996.</mixed-citation></ref>
      <ref id="bib1.bibx18"><?xmltex \def\ref@label{{Eyring et~al.(2016)Eyring, Bony, Meehl, Senior, Stevens, Stouffer,
and Taylor}}?><label>Eyring et al.(2016)Eyring, Bony, Meehl, Senior, Stevens, Stouffer,
and Taylor</label><?label Eyring2016?><mixed-citation>Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., and Taylor, K. E.: Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9, 1937–1958, <ext-link xlink:href="https://doi.org/10.5194/gmd-9-1937-2016" ext-link-type="DOI">10.5194/gmd-9-1937-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx19"><?xmltex \def\ref@label{{Fauchez et~al.(2022)Fauchez, Villanueva, Sergeev, Turbet, Boutle,
Tsigaridis, Way, Wolf, Domagal-Goldman, Forget, Haqq-Misra, Kopparapu,
Manners, and Mayne}}?><label>Fauchez et al.(2022)Fauchez, Villanueva, Sergeev, Turbet, Boutle,
Tsigaridis, Way, Wolf, Domagal-Goldman, Forget, Haqq-Misra, Kopparapu,
Manners, and Mayne</label><?label Fauchez2021?><mixed-citation>Fauchez, T. J., Villanueva, G. L., Sergeev, D. E., Turbet, M., Boutle, I. A.,
Tsigaridis, K., Way, M. J., Wolf, E. T., Domagal-Goldman, S. D., Forget, F.,
Haqq-Misra, J., Kopparapu, R. K., Manners, J., and Mayne, N. J.: The TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI). III. Simulated Observables – the Return of the Spectrum, Planetary Science Journal, 3, 213,
<ext-link xlink:href="https://doi.org/10.3847/PSJ/ac6cf1" ext-link-type="DOI">10.3847/PSJ/ac6cf1</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bibx20"><?xmltex \def\ref@label{{Fischer et~al.(2019)Fischer, Mart\'{i}nez, Renn\'{o}, Tamppari,
and Zent}}?><label>Fischer et al.(2019)Fischer, Martínez, Rennó, Tamppari,
and Zent</label><?label Fischer2019?><mixed-citation>Fischer, E., Martínez, G. M., Rennó, N. O., Tamppari, L. K., and
Zent, A. P.: Relative Humidity on Mars: New Results From the Phoenix TECP
Sensor, J. Geophys. Res.-Planet., 124, 2780–2792,
<ext-link xlink:href="https://doi.org/10.1029/2019JE006080" ext-link-type="DOI">10.1029/2019JE006080</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx21"><?xmltex \def\ref@label{{Forget and Montabone(2017)}}?><label>Forget and Montabone(2017)</label><?label Forget2017?><mixed-citation>
Forget, F. and Montabone, L.: Atmospheric Dust on Mars: A Review, 47th
International Conference on Environmental Systems, Charleston, South Carolina, 16–20 July 2017, 175, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx22"><?xmltex \def\ref@label{{Forget et~al.(1998)Forget, Hourdin, and Talagrand}}?><label>Forget et al.(1998)Forget, Hourdin, and Talagrand</label><?label Forget1998?><mixed-citation>Forget, F., Hourdin, F., and Talagrand, O.: CO<inline-formula><mml:math id="M320" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> Snowfall on Mars: Simulation
with a General Circulation Model, Icarus, 131, 302–316,
<ext-link xlink:href="https://doi.org/10.1006/icar.1997.5874" ext-link-type="DOI">10.1006/icar.1997.5874</ext-link>, 1998.</mixed-citation></ref>
      <ref id="bib1.bibx23"><?xmltex \def\ref@label{{Forget et~al.(1999)Forget, Hourdin, Fournier, Hourdin, Talagrand,
Collins, Lewis, Read, and Huot}}?><label>Forget et al.(1999)Forget, Hourdin, Fournier, Hourdin, Talagrand,
Collins, Lewis, Read, and Huot</label><?label Forget1999?><mixed-citation>Forget, F., Hourdin, F., Fournier, R., Hourdin, C., Talagrand, O., Collins, M.,
Lewis, S. R., Read, P. L., and Huot, J. P.: Improved general circulation
models of the Martian atmosphere from the surface to above 80 km, J.
Geophys. Res.-Planet., 104, 24155–24175,
<ext-link xlink:href="https://doi.org/10.1029/1999JE001025" ext-link-type="DOI">10.1029/1999JE001025</ext-link>, 1999.</mixed-citation></ref>
      <ref id="bib1.bibx24"><?xmltex \def\ref@label{{Gary-Bicas et~al.(2020)Gary-Bicas, Hayne, Horvath, Heavens, Kass,
Kleinb\"{o}hl, Piqueux, Shirley, Schofield, and McCleese}}?><label>Gary-Bicas et al.(2020)Gary-Bicas, Hayne, Horvath, Heavens, Kass,
Kleinböhl, Piqueux, Shirley, Schofield, and McCleese</label><?label Gary-Bicas2020?><mixed-citation>Gary-Bicas, C. E., Hayne, P. O., Horvath, T., Heavens, N. G., Kass, D. M.,
Kleinböhl, A., Piqueux, S., Shirley, J. H., Schofield, J. T., and
McCleese, D. J.: Asymmetries in Snowfall, Emissivity, and Albedo of Mars'
Seasonal Polar Caps: Mars Climate Sounder Observations, J.
Geophys. Res.-Planet., 125, e2019JE006150, <ext-link xlink:href="https://doi.org/10.1029/2019JE006150" ext-link-type="DOI">10.1029/2019JE006150</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx25"><?xmltex \def\ref@label{{Gebhardt et~al.(2020)Gebhardt, Abuelgasim, Fonseca,
Mart\'{i}n-Torres, and Zorzano}}?><label>Gebhardt et al.(2020)Gebhardt, Abuelgasim, Fonseca,
Martín-Torres, and Zorzano</label><?label Gebhardt2020?><mixed-citation>Gebhardt, C., Abuelgasim, A., Fonseca, R. M., Martín-Torres, J., and
Zorzano, M. P.: Fully Interactive and Refined Resolution Simulations of the
Martian Dust Cycle by the MarsWRF Model, J. Geophys. Res.-Planet., 125, e2019JE006253, <ext-link xlink:href="https://doi.org/10.1029/2019JE006253" ext-link-type="DOI">10.1029/2019JE006253</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx26"><?xmltex \def\ref@label{{Gierasch and Toon(1973)}}?><label>Gierasch and Toon(1973)</label><?label Gierasch1973?><mixed-citation>Gierasch, P. J. and Toon, O. B.: Atmospheric Pressure Variation and the
Climate of Mars, J. Atmos. Sci., 30, 1502–1508,
<ext-link xlink:href="https://doi.org/10.1175/1520-0469(1973)030&lt;1502:APVATC&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0469(1973)030&lt;1502:APVATC&gt;2.0.CO;2</ext-link>, 1973.</mixed-citation></ref>
      <ref id="bib1.bibx27"><?xmltex \def\ref@label{{Gonz\'{a}lez-Galindo et~al.(2010)Gonz\'{a}lez-Galindo, Bougher,
L\'{o}pez-Valverde, Forget, and Murphy}}?><label>González-Galindo et al.(2010)González-Galindo, Bougher,
López-Valverde, Forget, and Murphy</label><?label Gonzalez-Galindo2010?><mixed-citation>González-Galindo, F., Bougher, S. W., López-Valverde, M. A.,
Forget, F., and Murphy, J.: Thermal and wind structure of the Martian
thermosphere as given by two General Circulation Models, Planet. Space
Sci., 58, 1832–1849, <ext-link xlink:href="https://doi.org/10.1016/j.pss.2010.08.013" ext-link-type="DOI">10.1016/j.pss.2010.08.013</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx28"><?xmltex \def\ref@label{{Gonz\'{a}lez-Galindo et~al.(2015)Gonz\'{a}lez-Galindo,
L\'{o}pez-Valverde, Forget, Garc\'{i}a-Comas, Millour, and
Montabone}}?><label>González-Galindo et al.(2015)González-Galindo,
López-Valverde, Forget, García-Comas, Millour, and
Montabone</label><?label Gonzalez-Galindo2015?><mixed-citation>González-Galindo, F., López-Valverde, M. A., Forget, F.,
García-Comas, M., Millour, E., and Montabone, L.: Variability of the
Martian thermosphere during eight Martian years as simulated by a
ground-to-exosphere global circulation model, J. Geophys.
Res.-Planet., 120, 2020–2035, <ext-link xlink:href="https://doi.org/10.1002/2015JE004925" ext-link-type="DOI">10.1002/2015JE004925</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx29"><?xmltex \def\ref@label{{Gronoff et~al.(2020)Gronoff, Arras, Baraka, Bell, Cessateur, Cohen,
Curry, Drake, Elrod, Erwin, Garcia-Sage, Garraffo, Glocer, Heavens, Lovato,
Maggiolo, Parkinson, Simon~Wedlund, Weimer, and Moore}}?><label>Gronoff et al.(2020)Gronoff, Arras, Baraka, Bell, Cessateur, Cohen,
Curry, Drake, Elrod, Erwin, Garcia-Sage, Garraffo, Glocer, Heavens, Lovato,
Maggiolo, Parkinson, Simon Wedlund, Weimer, and Moore</label><?label Gronoff2020?><mixed-citation>Gronoff, G., Arras, P., Baraka, S., Bell, J. M., Cessateur, G., Cohen, O.,
Curry, S. M., Drake, J. J., Elrod, M., Erwin, J., Garcia-Sage, K., Garraffo,
C., Glocer, A., Heavens, N. G., Lovato, K., Maggiolo, R., Parkinson, C. D.,
Simon Wedlund, C., Weimer, D. R., and Moore, W. B.: Atmospheric Escape
Processes and Planetary Atmospheric Evolution, J. Geophys.
Res.-Space, 125,  e2019JA027639, <ext-link xlink:href="https://doi.org/10.1029/2019JA027639" ext-link-type="DOI">10.1029/2019JA027639</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx30"><?xmltex \def\ref@label{{Haberle et~al.(2001)Haberle, McKay, Schaeffer, Cabrol, Grin, Zent,
and Quinn}}?><label>Haberle et al.(2001)Haberle, McKay, Schaeffer, Cabrol, Grin, Zent,
and Quinn</label><?label Haberle2001?><mixed-citation>Haberle, R. M., McKay, C. P., Schaeffer, J., Cabrol, N. A., Grin, E. A., Zent,
A. P., and Quinn, R.: On the possibility of liquid water on present-day
Mars, J. Geophys. Res.-Planet., 106, 23317–23326,
<ext-link xlink:href="https://doi.org/10.1029/2000JE001360" ext-link-type="DOI">10.1029/2000JE001360</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bibx31"><?xmltex \def\ref@label{{Haberle et~al.(2008)Haberle, Forget, Colaprete, Schaeffer, Boynton,
Kelly, and Chamberlain}}?><label>Haberle et al.(2008)Haberle, Forget, Colaprete, Schaeffer, Boynton,
Kelly, and Chamberlain</label><?label Haberle2008?><mixed-citation>Haberle, R. M., Forget, F., Colaprete, A., Schaeffer, J., Boynton, W. V.,
Kelly, N. J., and Chamberlain, M. A.: The effect of ground ice on the
Martian seasonal CO<inline-formula><mml:math id="M321" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> cycle, Planet. Space Sci., 56, 251–255,
<ext-link xlink:href="https://doi.org/10.1016/j.pss.2007.08.006" ext-link-type="DOI">10.1016/j.pss.2007.08.006</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx32"><?xmltex \def\ref@label{{Haberle et~al.(2019)Haberle, Kahre, Hollingsworth, Montmessin,
Wilson, Urata, Brecht, Wolff, Kling, and Schaeffer}}?><label>Haberle et al.(2019)Haberle, Kahre, Hollingsworth, Montmessin,
Wilson, Urata, Brecht, Wolff, Kling, and Schaeffer</label><?label Haberle2019?><mixed-citation>Haberle, R. M., Kahre, M. A., Hollingsworth, J. L., Montmessin, F., Wilson,
R. J., Urata, R. A., Brecht, A. S., Wolff, M. J., Kling, A. M., and
Schaeffer, J. R.: Documentation of the NASA/Ames Legacy Mars Global Climate
Model: Simulations of the present seasonal water cycle, Icarus, 333,
130–164, <ext-link xlink:href="https://doi.org/10.1016/j.icarus.2019.03.026" ext-link-type="DOI">10.1016/j.icarus.2019.03.026</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx33"><?xmltex \def\ref@label{{Hayne et~al.(2012)Hayne, Paige, Schofield, Kass, Kleinbhl, Heavens,
and McCleese}}?><label>Hayne et al.(2012)Hayne, Paige, Schofield, Kass, Kleinbhl, Heavens,
and McCleese</label><?label Hayne2012?><mixed-citation>Hayne, P. O., Paige, D. A., Schofield, J. T., Kass, D. M., Kleinbhl, A.,
Heavens, N. G., and McCleese, D. J.: Carbon dioxide snow clouds on Mars:
South polar winter observations by the Mars Climate Sounder, J.
Geophys. Res.-Planet., 117, E08014, <ext-link xlink:href="https://doi.org/10.1029/2011JE004040" ext-link-type="DOI">10.1029/2011JE004040</ext-link>,
2012.</mixed-citation></ref>
      <ref id="bib1.bibx34"><?xmltex \def\ref@label{{Heavens et~al.(2011)Heavens, Richardson, Kleinb\"{o}hl, Kass,
McCleese, Abdou, Benson, Schofield, Shirley, and Wolkenberg}}?><label>Heavens et al.(2011)Heavens, Richardson, Kleinböhl, Kass,
McCleese, Abdou, Benson, Schofield, Shirley, and Wolkenberg</label><?label Heavens2011?><mixed-citation>Heavens, N. G., Richardson, M. I., Kleinböhl, A., Kass, D. M., McCleese,
D. J., Abdou, W., Benson, J. L., Schofield, J. T., Shirley, J. H., and
Wolkenberg, P. M.: Vertical distribution of dust in the Martian atmosphere
during northern spring and summer: High-altitude tropical dust maximum at
northern summer solstice, J. Geophys. Res.-Planet., 116,
E01007, <ext-link xlink:href="https://doi.org/10.1029/2010JE003692" ext-link-type="DOI">10.1029/2010JE003692</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx35"><?xmltex \def\ref@label{{H\'{e}brard et~al.(2012)}}?><label>Hébrard et al.(2012)</label><?label Hebrard2012?><mixed-citation>Hébrard, E., Listowski, C., Coll, P., Marticorena, B., Bergametti, G.,
Määttänen, A., Montmessin, F., and Forget, F.: An
aerodynamic roughness length map derived from extended Martian rock abundance
data, J. Geophys. Res.-Planet., 117, E04008,
<ext-link xlink:href="https://doi.org/10.1029/2011JE003942" ext-link-type="DOI">10.1029/2011JE003942</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx36"><?xmltex \def\ref@label{{Hinson and Wilson(2004)}}?><label>Hinson and Wilson(2004)</label><?label Hinson2004?><mixed-citation>Hinson, D. P. and Wilson, R. J.: Temperature inversions, thermal tides, and
water ice clouds in the Martian tropics, J. Geophys. Res.-Planet., 109, E01002, <ext-link xlink:href="https://doi.org/10.1029/2003je002129" ext-link-type="DOI">10.1029/2003je002129</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bibx37"><?xmltex \def\ref@label{{Hinson et~al.(2014)Hinson, Asmar, Kahan, Akopian, Haberle, Spiga,
Schofield, Kleinb\"{o}hl, Abdou, Lewis, Paik, and Maalouf}}?><label>Hinson et al.(2014)Hinson, Asmar, Kahan, Akopian, Haberle, Spiga,
Schofield, Kleinböhl, Abdou, Lewis, Paik, and Maalouf</label><?label Hinson2014?><mixed-citation>Hinson, D. P., Asmar, S. W., Kahan, D. S., Akopian, V., Haberle, R. M., Spiga,
A., Schofield, J. T., Kleinböhl, A., Abdou, W. A., Lewis, S. R., Paik,
M., and Maalouf, S. G.: Initial results from radio occultation measurements
with the Mars Reconnaissance Orbiter: A nocturnal mixed layer in the tropics
and comparisons with polar profiles from the Mars Climate Sounder, Icarus,
243, 91–103, <ext-link xlink:href="https://doi.org/10.1016/j.icarus.2014.09.019" ext-link-type="DOI">10.1016/j.icarus.2014.09.019</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx38"><?xmltex \def\ref@label{{Holmes et~al.(2018)Holmes, Lewis, Patel, and
Lef\`{e}vre}}?><label>Holmes et al.(2018)Holmes, Lewis, Patel, and
Lefèvre</label><?label Holmes2018?><mixed-citation>Holmes, J. A., Lewis, S. R., Patel, M. R., and Lefèvre, F.: A reanalysis
of ozone on Mars from assimilation of SPICAM observations, Icarus, 302,
308–318, <ext-link xlink:href="https://doi.org/10.1016/j.icarus.2017.11.026" ext-link-type="DOI">10.1016/j.icarus.2017.11.026</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx39"><?xmltex \def\ref@label{{Houben et~al.(1997)Houben, Haberle, Young, and Zent}}?><label>Houben et al.(1997)Houben, Haberle, Young, and Zent</label><?label Houben1997?><mixed-citation>Houben, H., Haberle, R. M., Young, R. E., and Zent, A. P.: Evolution of the
Martian water cycle, Adv. Space Res., 19, 1233–1236,
<ext-link xlink:href="https://doi.org/10.1016/S0273-1177(97)00274-3" ext-link-type="DOI">10.1016/S0273-1177(97)00274-3</ext-link>, 1997.</mixed-citation></ref>
      <ref id="bib1.bibx40"><?xmltex \def\ref@label{{Hourdin et~al.(1993)Hourdin, Le~Van, Forget, and
Talagrand}}?><label>Hourdin et al.(1993)Hourdin, Le Van, Forget, and
Talagrand</label><?label Hourdin1993?><mixed-citation>Hourdin, F., Le Van, P., Forget, F., and Talagrand, O.: Meteorological
variability and the annual surface pressure cycle on Mars, J.
Atmos. Sci., 50, 3625–3640,
<ext-link xlink:href="https://doi.org/10.1175/1520-0469(1993)050&lt;3625:MVATAS&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0469(1993)050&lt;3625:MVATAS&gt;2.0.CO;2</ext-link>, 1993.</mixed-citation></ref>
      <ref id="bib1.bibx41"><?xmltex \def\ref@label{{Hourdin et~al.(1995)Hourdin, Forget, and Talagrand}}?><label>Hourdin et al.(1995)Hourdin, Forget, and Talagrand</label><?label Hourdin1995?><mixed-citation>Hourdin, F., Forget, F., and Talagrand, O.: The sensitivity of the Martian
surface pressure and atmospheric mass budget to various parameters: A
comparison between numerical simulations and Viking observations, J.
Geophys. Res., 100, 5501–5523, <ext-link xlink:href="https://doi.org/10.1029/94je03079" ext-link-type="DOI">10.1029/94je03079</ext-link>, 1995.</mixed-citation></ref>
      <ref id="bib1.bibx42"><?xmltex \def\ref@label{{Husain et~al.(2019)Husain, Girard, Qaddouri, and Plante}}?><label>Husain et al.(2019)Husain, Girard, Qaddouri, and Plante</label><?label Husain2019?><mixed-citation>Husain, S. Z., Girard, C., Qaddouri, A., and Plante, A.: A new dynamical core
of the Global Environmental Multiscale (GEM) model with a height-based
terrain-following vertical coordinate, Mon. Weather Rev., 147,
2555–2578, <ext-link xlink:href="https://doi.org/10.1175/MWR-D-18-0438.1" ext-link-type="DOI">10.1175/MWR-D-18-0438.1</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx43"><?xmltex \def\ref@label{{Jakosky and Edwards(2018)}}?><label>Jakosky and Edwards(2018)</label><?label Jakosky2018?><mixed-citation>Jakosky, B. M. and Edwards, C. S.: Inventory of CO<inline-formula><mml:math id="M322" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> available for terraforming
Mars, Nature Astronomy, 2, 634–639, <ext-link xlink:href="https://doi.org/10.1038/s41550-018-0529-6" ext-link-type="DOI">10.1038/s41550-018-0529-6</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx44"><?xmltex \def\ref@label{{Kahre and Haberle(2010)}}?><label>Kahre and Haberle(2010)</label><?label Kahre2010?><mixed-citation>Kahre, M. A. and Haberle, R. M.: Mars CO<inline-formula><mml:math id="M323" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> cycle: Effects of airborne dust and
polar cap ice emissivity, Icarus, 207, 648–653,
<ext-link xlink:href="https://doi.org/10.1016/j.icarus.2009.12.016" ext-link-type="DOI">10.1016/j.icarus.2009.12.016</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx45"><?xmltex \def\ref@label{{Kahre et~al.(2006)Kahre, Murphy, and Haberle}}?><label>Kahre et al.(2006)Kahre, Murphy, and Haberle</label><?label Kahre2006a?><mixed-citation>Kahre, M. A., Murphy, J. R., and Haberle, R. M.: Modelling the Martian dust
cycle and surface dust reservoirs with the NASA Ames general circulation
model, J. Geophys. Res.-Planet., 111,  E06008,
<ext-link xlink:href="https://doi.org/10.1029/2005JE002588" ext-link-type="DOI">10.1029/2005JE002588</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bibx46"><?xmltex \def\ref@label{{Kahre et~al.(2017)Kahre, Murphy, Newman, Wilson, Cantor, Lemmon, and
Wolff}}?><label>Kahre et al.(2017)Kahre, Murphy, Newman, Wilson, Cantor, Lemmon, and
Wolff</label><?label Kahre2017?><mixed-citation>Kahre, M. A., Murphy, J. R., Newman, C. E., Wilson, R. J., Cantor, B. A.,
Lemmon, M. T., and Wolff, M. J.: The Mars Dust Cycle, in: The Atmosphere
and Climate of Mars, chap. 10, Cambridge University Press, 295–337,
<ext-link xlink:href="https://doi.org/10.1017/9781139060172.010" ext-link-type="DOI">10.1017/9781139060172.010</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx47"><?xmltex \def\ref@label{{Kass et~al.(2003)Kass, Schofield, Michaels, Rafkin, Richardson, and
Toigo}}?><label>Kass et al.(2003)Kass, Schofield, Michaels, Rafkin, Richardson, and
Toigo</label><?label Kass2003?><mixed-citation>Kass, D. M., Schofield, J. T., Michaels, T. I., Rafkin, S. C., Richardson,
M. I., and Toigo, A. D.: Analysis of atmospheric mesoscale models for entry,
descent, and landing, J. Geophys. Res.-Planet., 108,
8090, <ext-link xlink:href="https://doi.org/10.1029/2003je002065" ext-link-type="DOI">10.1029/2003je002065</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx48"><?xmltex \def\ref@label{{Kass et~al.(2020)Kass, Schofield, Kleinb\"{o}hl, McCleese, Heavens,
Shirley, and Steele}}?><label>Kass et al.(2020)Kass, Schofield, Kleinböhl, McCleese, Heavens,
Shirley, and Steele</label><?label Kass2020?><mixed-citation>Kass, D. M., Schofield, J. T., Kleinböhl, A., McCleese, D. J., Heavens,
N. G., Shirley, J. H., and Steele, L. J.: Mars Climate Sounder Observation
of Mars' 2018 Global Dust Storm, Geophys. Res. Lett., 47, e2019GL083931,
<ext-link xlink:href="https://doi.org/10.1029/2019GL083931" ext-link-type="DOI">10.1029/2019GL083931</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx49"><?xmltex \def\ref@label{{Kieffer et~al.(1977)Kieffer, Martin, Peterfreund, Jakosky, Miner, and
Palluconi}}?><label>Kieffer et al.(1977)Kieffer, Martin, Peterfreund, Jakosky, Miner, and
Palluconi</label><?label Kieffer1977?><mixed-citation>Kieffer, H. H., Martin, T. Z., Peterfreund, A. R., Jakosky, B. M., Miner,
E. D., and Palluconi, F. D.: Thermal and albedo mapping of Mars during the
Viking primary mission, J. Geophys. Res., 82, 4249–4291,
<ext-link xlink:href="https://doi.org/10.1029/js082i028p04249" ext-link-type="DOI">10.1029/js082i028p04249</ext-link>, 1977.</mixed-citation></ref>
      <ref id="bib1.bibx50"><?xmltex \def\ref@label{{Lef\`{e}vre et~al.(2008)Lef\`{e}vre, Bertaux, Clancy, Encrenaz,
Fast, Forget, Lebonnois, Montmessin, and Perrier}}?><label>Lefèvre et al.(2008)Lefèvre, Bertaux, Clancy, Encrenaz,
Fast, Forget, Lebonnois, Montmessin, and Perrier</label><?label Lefevre2008?><mixed-citation>Lefèvre, F., Bertaux, J.-L., Clancy, R. T., Encrenaz, T., Fast, K.,
Forget, F., Lebonnois, S., Montmessin, F., and Perrier, S.: Heterogeneous
chemistry in the atmosphere of Mars, Nature, 454, 971–975,
<ext-link xlink:href="https://doi.org/10.1038/nature07116" ext-link-type="DOI">10.1038/nature07116</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx51"><?xmltex \def\ref@label{{Lines et~al.(2018)Lines, Manners, Mayne, Goyal, Carter, Boutle, Lee,
Helling, Drummond, Acreman, and Sing}}?><label>Lines et al.(2018)Lines, Manners, Mayne, Goyal, Carter, Boutle, Lee,
Helling, Drummond, Acreman, and Sing</label><?label Lines2018?><mixed-citation>Lines, S., Manners, J., Mayne, N. J., Goyal, J., Carter, A. L., Boutle, I. A.,
Lee, G. K., Helling, C., Drummond, B., Acreman, D. M., and Sing, D. K.:
Exonephology: Transmission spectra from a 3D simulated cloudy atmosphere of
HD 209458b, Mon. Not. R. Astron. Soc., 481,
194–205, <ext-link xlink:href="https://doi.org/10.1093/mnras/sty2275" ext-link-type="DOI">10.1093/mnras/sty2275</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx52"><?xmltex \def\ref@label{{Lock et~al.(2000)Lock, Brown, Bush, Martin, and Smith}}?><label>Lock et al.(2000)Lock, Brown, Bush, Martin, and Smith</label><?label Martin2000?><mixed-citation>Lock, A. P., Brown, A. R., Bush, M. R., Martin, G. M., and Smith, R. N. B.: A
New Boundary Layer Mixing Scheme. Part I: Scheme Description and
Single-Column Model Tests, Mon. Weather Rev., 128, 3187–3199,
<ext-link xlink:href="https://doi.org/10.1175/1520-0493(2000)128&lt;3187:ANBLMS&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0493(2000)128&lt;3187:ANBLMS&gt;2.0.CO;2</ext-link>, 2000.</mixed-citation></ref>
      <ref id="bib1.bibx53"><?xmltex \def\ref@label{{Lora et~al.(2019)Lora, Tokano, Vatant~d'Ollone, Lebonnois, and
Lorenz}}?><label>Lora et al.(2019)Lora, Tokano, Vatant d'Ollone, Lebonnois, and
Lorenz</label><?label Lora2019?><mixed-citation>Lora, J. M., Tokano, T., Vatant d'Ollone, J., Lebonnois, S., and Lorenz, R. D.:
A model intercomparison of Titan's climate and low-latitude environment,
Icarus, 333, 113–126, <ext-link xlink:href="https://doi.org/10.1016/j.icarus.2019.05.031" ext-link-type="DOI">10.1016/j.icarus.2019.05.031</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx54"><?xmltex \def\ref@label{{Lott and Miller(1997)}}?><label>Lott and Miller(1997)</label><?label Lott1997?><mixed-citation>Lott, F. and Miller, M. J.: A new subgrid-scale orographic drag
parametrization: Its formulation and testing, Q. J. Roy.
Meteor. Soc., 123, 101–127, <ext-link xlink:href="https://doi.org/10.1002/qj.49712353704" ext-link-type="DOI">10.1002/qj.49712353704</ext-link>, 1997.</mixed-citation></ref>
      <ref id="bib1.bibx55"><?xmltex \def\ref@label{{Madeleine et~al.(2012)Madeleine, Forget, Millour, Navarro, and
Spiga}}?><label>Madeleine et al.(2012)Madeleine, Forget, Millour, Navarro, and
Spiga</label><?label Madeleine2012?><mixed-citation>Madeleine, J.-B., Forget, F., Millour, E., Navarro, T., and Spiga, A.: The
influence of radiatively active water ice clouds on the Martian climate,
Geophys. Res. Lett., 39, L23202, <ext-link xlink:href="https://doi.org/10.1029/2012GL053564" ext-link-type="DOI">10.1029/2012GL053564</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx56"><?xmltex \def\ref@label{{Madeleine et~al.(2011)Madeleine, Forget, Millour, Montabone, and
Wolff}}?><label>Madeleine et al.(2011)Madeleine, Forget, Millour, Montabone, and
Wolff</label><?label Madeleine2011?><mixed-citation>Madeleine, J.-B. B., Forget, F., Millour, E., Montabone, L., and Wolff, M. J.:
Revisiting the radiative impact of dust on Mars using the LMD Global Climate
Model, J. Geophys. Res., 116, 11010,
<ext-link xlink:href="https://doi.org/10.1029/2011JE003855" ext-link-type="DOI">10.1029/2011JE003855</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx57"><?xmltex \def\ref@label{{Malin et~al.(2001)Malin, Caplinger, and Davis}}?><label>Malin et al.(2001)Malin, Caplinger, and Davis</label><?label Malin2001?><mixed-citation>Malin, M. C., Caplinger, M. A., and Davis, S. D.: Observational evidence for
an active surface reservoir of solid carbon dioxide on Mars, Science, 294,
2146–2148, <ext-link xlink:href="https://doi.org/10.1126/science.1066416" ext-link-type="DOI">10.1126/science.1066416</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bibx58"><?xmltex \def\ref@label{{Manners et~al.(2012)Manners, Vosper, and Roberts}}?><label>Manners et al.(2012)Manners, Vosper, and Roberts</label><?label Manners2012?><mixed-citation>Manners, J., Vosper, S. B., and Roberts, N.: Radiative transfer over resolved
topographic features for high-resolution weather prediction, Q.
J. Roy. Meteor. Soc., 138, 720–733,
<ext-link xlink:href="https://doi.org/10.1002/qj.956" ext-link-type="DOI">10.1002/qj.956</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx59"><?xmltex \def\ref@label{{Marticorena and Bergametti(1995)}}?><label>Marticorena and Bergametti(1995)</label><?label Marticorena1995?><mixed-citation>Marticorena, B. and Bergametti, G.: Modeling the atmospheric dust cycle: 1.
Design of a soil-derived dust emission scheme, J. Geophys.
Res., 100, 16415–16430, <ext-link xlink:href="https://doi.org/10.1029/95jd00690" ext-link-type="DOI">10.1029/95jd00690</ext-link>, 1995.</mixed-citation></ref>
      <ref id="bib1.bibx60"><?xmltex \def\ref@label{{Mart\'{i}nez et~al.(2017)Mart\'{i}nez, Newman,
De~Vicente-Retortillo, Fischer, Renno, Richardson, Fair\'{e}n, Genzer,
Guzewich, Haberle, Harri, Kemppinen, Lemmon, Smith, de~la Torre-Ju\'{a}rez,
and Vasavada}}?><label>Martínez et al.(2017)Martínez, Newman,
De Vicente-Retortillo, Fischer, Renno, Richardson, Fairén, Genzer,
Guzewich, Haberle, Harri, Kemppinen, Lemmon, Smith, de la Torre-Juárez,
and Vasavada</label><?label Martinez2017?><mixed-citation>Martínez, G. M., Newman, C. N., De Vicente-Retortillo, A., Fischer, E.,
Renno, N. O., Richardson, M. I., Fairén, A. G., Genzer, M., Guzewich,
S. D., Haberle, R. M., Harri, A. M., Kemppinen, O., Lemmon, M. T., Smith,
M. D., de la Torre-Juárez, M., and Vasavada, A. R.: The Modern
Near-Surface Martian Climate: A Review of In-situ Meteorological Data from
Viking to Curiosity, Space Sci. Rev., 212, 295–338,
<ext-link xlink:href="https://doi.org/10.1007/s11214-017-0360-x" ext-link-type="DOI">10.1007/s11214-017-0360-x</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx61"><?xmltex \def\ref@label{{Mayne et~al.(2014)Mayne, Baraffe, Acreman, Smith, Wood, Amundsen,
Thuburn, and Jackson}}?><label>Mayne et al.(2014)Mayne, Baraffe, Acreman, Smith, Wood, Amundsen,
Thuburn, and Jackson</label><?label Mayne2014?><mixed-citation>Mayne, N. J., Baraffe, I., Acreman, D. M., Smith, C., Wood, N., Amundsen, D. S., Thuburn, J., and Jackson, D. R.: Using the UM dynamical cores to reproduce idealised 3-D flows, Geosci. Model Dev., 7, 3059–3087, <ext-link xlink:href="https://doi.org/10.5194/gmd-7-3059-2014" ext-link-type="DOI">10.5194/gmd-7-3059-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx62"><?xmltex \def\ref@label{{Mayne et~al.(2019)Mayne, Drummond, Debras, Jaupart, Manners, Boutle,
Baraffe, and Kohary}}?><label>Mayne et al.(2019)Mayne, Drummond, Debras, Jaupart, Manners, Boutle,
Baraffe, and Kohary</label><?label Mayne2019?><mixed-citation>Mayne, N. J., Drummond, B., Debras, F., Jaupart, E., Manners, J., Boutle,
I. A., Baraffe, I., and Kohary, K.: The Limits of the Primitive Equations of
Dynamics for Warm, Slowly Rotating Small Neptunes and Super Earths,
Astrophys. J., 871, 56, <ext-link xlink:href="https://doi.org/10.3847/1538-4357/aaf6e9" ext-link-type="DOI">10.3847/1538-4357/aaf6e9</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx63"><?xmltex \def\ref@label{{McCulloch et~al.(2022)McCulloch, Sergeev, Mayne, Bate, Manners,
Boutle, and Drummond}}?><label>McCulloch et al.(2022)McCulloch, Sergeev, Mayne, Bate, Manners,
Boutle, and Drummond</label><?label McCulloch2022a?><mixed-citation>McCulloch, D., Sergeev, D., Mayne, N., Bate, M., Manners, J., Boutle, I., and
Drummond, B.: UM post-processed Mars dataset, Version 1, Zenodo [code and data set], <ext-link xlink:href="https://doi.org/10.5281/zenodo.6974260" ext-link-type="DOI">10.5281/zenodo.6974260</ext-link>,
2022.</mixed-citation></ref>
      <ref id="bib1.bibx64"><?xmltex \def\ref@label{{Mellon et~al.(2008)Mellon, Fergason, and Putzig}}?><label>Mellon et al.(2008)Mellon, Fergason, and Putzig</label><?label Mellon2008?><mixed-citation>Mellon, M. T., Fergason, R. L., and Putzig, N. E.: The thermal inertia of the
surface of Mars, in: The Martian Surface, Cambridge University
Press, 399–427, <ext-link xlink:href="https://doi.org/10.1017/CBO9780511536076.019" ext-link-type="DOI">10.1017/CBO9780511536076.019</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx65"><?xmltex \def\ref@label{{Millour et~al.(2018)Millour, Forget, Spiga, L\'{o}pez-Valverde,
Vals, Zakharov, Montabone, Lefevre, Montmessin, Chaufray,
Gonz\'{a}lez-Galindo, Lewis, Read, Desjean, and Cipriani}}?><label>Millour et al.(2018)Millour, Forget, Spiga, López-Valverde,
Vals, Zakharov, Montabone, Lefevre, Montmessin, Chaufray,
González-Galindo, Lewis, Read, Desjean, and Cipriani</label><?label Millour2018?><mixed-citation>Millour, E., Forget, F., Spiga, A., López-Valverde, M. A., Vals, M.,
Zakharov, A. V., Montabone, L., Lefevre, F., Montmessin, F., Chaufray, J. Y.,
González-Galindo, F., Lewis, S. R., Read, P. L., Desjean, M.-C., and
Cipriani, F.: The Mars Climate Database (Version 5.3), in: Scientific
Workshop: From Mars Express to ExoMars, ESAC Madrid, Spain,
<uri>https://www.cosmos.esa.int/documents/1499429/1583871/Millour_E.pdf</uri> (last access: 16 January 2023),
2018.</mixed-citation></ref>
      <ref id="bib1.bibx66"><?xmltex \def\ref@label{{Montabone and Forget(2017)}}?><label>Montabone and Forget(2017)</label><?label Montabone2017?><mixed-citation>
Montabone, L. and Forget, F.: Forecasting Dust Storms on Mars: A Short
Review, in: Dust in the Atmosphere of Mars and Its Impact on Human
Exploration, Abstract 6032, LPI Contribution No. 1966, Lunar and Planetary
Institute, Houston, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx67"><?xmltex \def\ref@label{{Montabone et~al.(2006)Montabone, Lewis, Read, and
Withers}}?><label>Montabone et al.(2006)Montabone, Lewis, Read, and
Withers</label><?label Montabone2006?><mixed-citation>Montabone, L., Lewis, S. R., Read, P. L., and Withers, P.: Reconstructing the
weather on Mars at the time of the MERs and Beagle 2 landings, Geophys.
Res. Lett., 33, L19202, <ext-link xlink:href="https://doi.org/10.1029/2006GL026565" ext-link-type="DOI">10.1029/2006GL026565</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bibx68"><?xmltex \def\ref@label{{Montabone et~al.(2015)Montabone, Forget, Millour, Wilson, Lewis,
Cantor, Kass, Kleinb\"{o}hl, Lemmon, Smith, and Wolff}}?><label>Montabone et al.(2015)Montabone, Forget, Millour, Wilson, Lewis,
Cantor, Kass, Kleinböhl, Lemmon, Smith, and Wolff</label><?label Montabone2015?><mixed-citation>Montabone, L., Forget, F., Millour, E., Wilson, R. J., Lewis, S. R., Cantor,
B., Kass, D., Kleinböhl, A., Lemmon, M. T., Smith, M. D., and Wolff,
M. J.: Eight-year climatology of dust optical depth on Mars, Icarus, 251,
65–95, <ext-link xlink:href="https://doi.org/10.1016/j.icarus.2014.12.034" ext-link-type="DOI">10.1016/j.icarus.2014.12.034</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx69"><?xmltex \def\ref@label{{Montabone et~al.(2020)Montabone, Spiga, Kass, Kleinb\"{o}hl,
Forget, and Millour}}?><label>Montabone et al.(2020)Montabone, Spiga, Kass, Kleinböhl,
Forget, and Millour</label><?label Montabone2020?><mixed-citation>Montabone, L., Spiga, A., Kass, D. M., Kleinböhl, A., Forget, F., and
Millour, E.: Martian Year 34 Column Dust Climatology from Mars Climate
Sounder Observations: Reconstructed Maps and Model Simulations, J.
Geophys. Res.-Planet., 125, e2019JE006111, <ext-link xlink:href="https://doi.org/10.1029/2019JE006111" ext-link-type="DOI">10.1029/2019JE006111</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx70"><?xmltex \def\ref@label{{Mulholland et~al.(2013)Mulholland, Read, and Lewis}}?><label>Mulholland et al.(2013)Mulholland, Read, and Lewis</label><?label Mulholland2013?><mixed-citation>Mulholland, D. P., Read, P. L., and Lewis, S. R.: Simulating the interannual
variability of major dust storms on Mars using variable lifting thresholds,
Icarus, 223, 344–358, <ext-link xlink:href="https://doi.org/10.1016/j.icarus.2012.12.003" ext-link-type="DOI">10.1016/j.icarus.2012.12.003</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx71"><?xmltex \def\ref@label{{Navarro et~al.(2014)Navarro, Madeleine, Forget, Spiga, Millour,
Montmessin, and M\"{a}\"{a}tt\"{a}nen}}?><label>Navarro et al.(2014)Navarro, Madeleine, Forget, Spiga, Millour,
Montmessin, and Määttänen</label><?label Navarro2014?><mixed-citation>Navarro, T., Madeleine, J. B., Forget, F., Spiga, A., Millour, E., Montmessin,
F., and Määttänen, A.: Global climate modeling of the
Martian water cycle with improved microphysics and radiatively active water
ice clouds, J. Geophys. Res.-Planet., 119, 1479–1495,
<ext-link xlink:href="https://doi.org/10.1002/2013JE004550" ext-link-type="DOI">10.1002/2013JE004550</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx72"><?xmltex \def\ref@label{{Nazari-Sharabian et~al.(2020)Nazari-Sharabian, Aghababaei,
Karakouzian, and Karami}}?><label>Nazari-Sharabian et al.(2020)Nazari-Sharabian, Aghababaei,
Karakouzian, and Karami</label><?label Nazari-Sharabian2020?><mixed-citation>Nazari-Sharabian, M., Aghababaei, M., Karakouzian, M., and Karami, M.: Water
on Mars – A Literature Review, Galaxies, 8, 40,
<ext-link xlink:href="https://doi.org/10.3390/galaxies8020040" ext-link-type="DOI">10.3390/galaxies8020040</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx73"><?xmltex \def\ref@label{{Neakrase et~al.(2016)Neakrase, Balme, Esposito, Kelling, Klose, Kok,
Marticorena, Merrison, Patel, and Wurm}}?><label>Neakrase et al.(2016)Neakrase, Balme, Esposito, Kelling, Klose, Kok,
Marticorena, Merrison, Patel, and Wurm</label><?label Neakrase2016?><mixed-citation>Neakrase, L. D., Balme, M. R., Esposito, F., Kelling, T., Klose, M., Kok,
J. F., Marticorena, B., Merrison, J., Patel, M., and Wurm, G.: Particle
Lifting Processes in Dust Devils, Space Sci. Rev., 203, 347–376,
<ext-link xlink:href="https://doi.org/10.1007/s11214-016-0296-6" ext-link-type="DOI">10.1007/s11214-016-0296-6</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx74"><?xmltex \def\ref@label{{Neary and Daerden(2018)}}?><label>Neary and Daerden(2018)</label><?label Neary2018?><mixed-citation>Neary, L. and Daerden, F.: The GEM-Mars general circulation model for Mars:
Description and evaluation, Icarus, 300, 458–476,
<ext-link xlink:href="https://doi.org/10.1016/j.icarus.2017.09.028" ext-link-type="DOI">10.1016/j.icarus.2017.09.028</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx75"><?xmltex \def\ref@label{{Newman et~al.(2002)Newman, Lewis, Read, and Forget}}?><label>Newman et al.(2002)Newman, Lewis, Read, and Forget</label><?label Newman2002a?><mixed-citation>Newman, C. E., Lewis, S. R., Read, P. L., and Forget, F.: Modeling the Martian
dust cycle 1. Representations of dust transport processes, J.
Geophys. Res.-Planet., 107, 5123, <ext-link xlink:href="https://doi.org/10.1029/2002je001910" ext-link-type="DOI">10.1029/2002je001910</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bibx76"><?xmltex \def\ref@label{{Newman et~al.(2021)Newman, de la Torre~Ju\'{a}rez,
Pla-Garc\'{i}a, Wilson, Lewis, Neary, Kahre, Forget, Spiga, Richardson,
Daerden, Bertrand, Vi\'{u}dez-Moreiras, Sullivan, S\'{a}nchez-Lavega,
Chide, and Rodriguez-Manfredi}}?><label>Newman et al.(2021)Newman, de la Torre Juárez,
Pla-García, Wilson, Lewis, Neary, Kahre, Forget, Spiga, Richardson,
Daerden, Bertrand, Viúdez-Moreiras, Sullivan, Sánchez-Lavega,
Chide, and Rodriguez-Manfredi</label><?label Newman2021?><mixed-citation>Newman, C. E., de la Torre Juárez, M., Pla-García, J., Wilson,
R. J., Lewis, S. R., Neary, L., Kahre, M. A., Forget, F., Spiga, A.,
Richardson, M. I., Daerden, F., Bertrand, T., Viúdez-Moreiras, D.,
Sullivan, R., Sánchez-Lavega, A., Chide, B., and Rodriguez-Manfredi,
J. A.: Multi-model Meteorological and Aeolian Predictions for Mars 2020 and
the Jezero Crater Region, Space Sci. Rev., 217, 20,
<ext-link xlink:href="https://doi.org/10.1007/s11214-020-00788-2" ext-link-type="DOI">10.1007/s11214-020-00788-2</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx77"><?xmltex \def\ref@label{{Newman et~al.(2022)Newman, Bertrand, Fenton, Guzewich, Jackson,
Lewis, Mischna, Montabone, and Wellington}}?><label>Newman et al.(2022)Newman, Bertrand, Fenton, Guzewich, Jackson,
Lewis, Mischna, Montabone, and Wellington</label><?label Newman2022?><mixed-citation>Newman, C. E., Bertrand, T., Fenton, L. K., Guzewich, S. D., Jackson, B.,
Lewis, S. R., Mischna, M. A., Montabone, L., and Wellington, D. F.: Martian
Dust, 2 edn., January, Elsevier Inc.,
<ext-link xlink:href="https://doi.org/10.1016/b978-0-12-818234-5.00143-7" ext-link-type="DOI">10.1016/b978-0-12-818234-5.00143-7</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bibx78"><?xmltex \def\ref@label{{Oliver et~al.(2019)Oliver, Shin, Matthews, Sanders, Bartholomew,
Clark, Fitzpatrick, Van~Haren, Drost, and Hut}}?><label>Oliver et al.(2019)Oliver, Shin, Matthews, Sanders, Bartholomew,
Clark, Fitzpatrick, Van Haren, Drost, and Hut</label><?label Oliver2019?><mixed-citation>Oliver, H., Shin, M., Matthews, D., Sanders, O., Bartholomew, S., Clark, A.,
Fitzpatrick, B., Van Haren, R., Drost, N., and Hut, R.: Workflow Automation
for Cycling Systems, Comput. Sci. Eng., 21, 7–21,
<ext-link xlink:href="https://doi.org/10.1109/MCSE.2019.2906593" ext-link-type="DOI">10.1109/MCSE.2019.2906593</ext-link>, 2019 (code available at: <uri>https://cylc.github.io/</uri>, last access: 16 January 2023).</mixed-citation></ref>
      <ref id="bib1.bibx79"><?xmltex \def\ref@label{{Paige and Wood(1992)}}?><label>Paige and Wood(1992)</label><?label Paige1992?><mixed-citation>Paige, D. A. and Wood, S. E.: Modeling the Martian seasonal CO<inline-formula><mml:math id="M324" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> cycle 2.
Interannual variability, Icarus, 99, 15–27,
<ext-link xlink:href="https://doi.org/10.1016/0019-1035(92)90167-6" ext-link-type="DOI">10.1016/0019-1035(92)90167-6</ext-link>, 1992.</mixed-citation></ref>
      <ref id="bib1.bibx80"><?xmltex \def\ref@label{{P\'{a}l et~al.(2019)P\'{a}l, Kereszturi, Forget, and
Smith}}?><label>Pál et al.(2019)Pál, Kereszturi, Forget, and
Smith</label><?label Pal2019?><mixed-citation>Pál, B., Kereszturi, Ã., Forget, F., and Smith, M. D.: Global seasonal
variations of the near-surface relative humidity levels on present-day Mars,
Icarus, 333, 481–495, <ext-link xlink:href="https://doi.org/10.1016/j.icarus.2019.07.007" ext-link-type="DOI">10.1016/j.icarus.2019.07.007</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx81"><?xmltex \def\ref@label{{Palluconi and Kieffer(1981)}}?><label>Palluconi and Kieffer(1981)</label><?label Palluconi1981?><mixed-citation>Palluconi, F. D. and Kieffer, H. H.: Thermal inertia mapping of Mars from
60<inline-formula><mml:math id="M325" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S to 60<inline-formula><mml:math id="M326" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, Icarus, 45, 415–426,
<ext-link xlink:href="https://doi.org/10.1016/0019-1035(81)90044-0" ext-link-type="DOI">10.1016/0019-1035(81)90044-0</ext-link>, 1981.</mixed-citation></ref>
      <ref id="bib1.bibx82"><?xmltex \def\ref@label{{Pollack et~al.(1993)Pollack, Haberle, Murphy, Schaeffer, and
Lee}}?><label>Pollack et al.(1993)Pollack, Haberle, Murphy, Schaeffer, and
Lee</label><?label Pollack1993?><mixed-citation>Pollack, J. B., Haberle, R. M., Murphy, J. R., Schaeffer, J., and Lee, H.:
Simulations of the general circulation of the Martian atmosphere. 2.
Seasonal pressure variations, J. Geophys. Res., 98,
3149–3181, <ext-link xlink:href="https://doi.org/10.1029/92JE02947" ext-link-type="DOI">10.1029/92JE02947</ext-link>, 1993.</mixed-citation></ref>
      <ref id="bib1.bibx83"><?xmltex \def\ref@label{{Pottier et~al.(2017)Pottier, Forget, Montmessin, Navarro, Spiga,
Millour, Szantai, and Madeleine}}?><label>Pottier et al.(2017)Pottier, Forget, Montmessin, Navarro, Spiga,
Millour, Szantai, and Madeleine</label><?label Pottier2017a?><mixed-citation>Pottier, A., Forget, F., Montmessin, F., Navarro, T., Spiga, A., Millour, E.,
Szantai, A., and Madeleine, J.-B. B.: Unraveling the martian water cycle
with high-resolution global climate simulations, Icarus, 291, 82–106,
<ext-link xlink:href="https://doi.org/10.1016/j.icarus.2017.02.016" ext-link-type="DOI">10.1016/j.icarus.2017.02.016</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx84"><?xmltex \def\ref@label{{Read et~al.(2015)Read, Lewis, and Mulholland}}?><label>Read et al.(2015)Read, Lewis, and Mulholland</label><?label Read2015?><mixed-citation>Read, P. L., Lewis, S. R., and Mulholland, D. P.: The physics of Martian
weather and climate: a review, Rep. Prog. Phys., 78, 125901,
<ext-link xlink:href="https://doi.org/10.1088/0034-4885/78/12/125901" ext-link-type="DOI">10.1088/0034-4885/78/12/125901</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx85"><?xmltex \def\ref@label{{Richardson and Wilson(2002)}}?><label>Richardson and Wilson(2002)</label><?label Richardson2002a?><mixed-citation>Richardson, M. I. and Wilson, R. J.: A topographically forced asymmetry in the
martian circulation and climate, Nature, 416, 298–301,
<ext-link xlink:href="https://doi.org/10.1038/416298a" ext-link-type="DOI">10.1038/416298a</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bibx86"><?xmltex \def\ref@label{{Schmidt et~al.(2009)Schmidt, Dout\'{e}, Schmitt, Vincendon,
Bibring, and Langevin}}?><label>Schmidt et al.(2009)Schmidt, Douté, Schmitt, Vincendon,
Bibring, and Langevin</label><?label Schmidt2009?><mixed-citation>Schmidt, F., Douté, S., Schmitt, B., Vincendon, M., Bibring, J. P., and
Langevin, Y.: Albedo control of seasonal South Polar cap recession on Mars,
Icarus, 200, 374–394, <ext-link xlink:href="https://doi.org/10.1016/j.icarus.2008.12.014" ext-link-type="DOI">10.1016/j.icarus.2008.12.014</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx87"><?xmltex \def\ref@label{{Sergeev et~al.(2020)Sergeev, Lambert, Mayne, Boutle, Manners, and
Kohary}}?><label>Sergeev et al.(2020)Sergeev, Lambert, Mayne, Boutle, Manners, and
Kohary</label><?label Sergeev2020?><mixed-citation>Sergeev, D. E., Lambert, F. H., Mayne, N. J., Boutle, I. A., Manners, J., and
Kohary, K.: Atmospheric Convection Plays a Key Role in the Climate of
Tidally Locked Terrestrial Exoplanets: Insights from High-resolution
Simulations, Astrophys. J., 894, 84,
<ext-link xlink:href="https://doi.org/10.3847/1538-4357/ab8882" ext-link-type="DOI">10.3847/1538-4357/ab8882</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx88"><?xmltex \def\ref@label{{Sergeev et~al.(2022)Sergeev, Fauchez, Turbet, Boutle, Tsigaridis,
Way, Wolf, Domagal-Goldman, Forget, Haqq-Misra, Kopparapu, Lambert, Manners,
and Mayne}}?><label>Sergeev et al.(2022)Sergeev, Fauchez, Turbet, Boutle, Tsigaridis,
Way, Wolf, Domagal-Goldman, Forget, Haqq-Misra, Kopparapu, Lambert, Manners,
and Mayne</label><?label Sergeev2021?><mixed-citation>Sergeev, D. E., Fauchez, T. J., Turbet, M., Boutle, I. A., Tsigaridis, K., Way,
M. J., Wolf, E. T., Domagal-Goldman, S. D., Forget, F., Haqq-Misra, J.,
Kopparapu, R. K., Lambert, F. H., Manners, J., and Mayne, N. J.: The TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI). II. Moist Cases – The Two Waterworlds, Planetary Science Journal, 3, 212,
<ext-link xlink:href="https://doi.org/10.3847/PSJ/ac6cf2" ext-link-type="DOI">10.3847/PSJ/ac6cf2</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bibx89"><?xmltex \def\ref@label{{Shaposhnikov et~al.(2016)Shaposhnikov, Rodin, and
Medvedev}}?><label>Shaposhnikov et al.(2016)Shaposhnikov, Rodin, and
Medvedev</label><?label Shaposhnikov2016?><mixed-citation>Shaposhnikov, D. S., Rodin, A. V., and Medvedev, A. S.: The water cycle in the
general circulation model of the martian atmosphere, Solar System Research,
50, 90–101, <ext-link xlink:href="https://doi.org/10.1134/S0038094616020039" ext-link-type="DOI">10.1134/S0038094616020039</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx90"><?xmltex \def\ref@label{{Shaposhnikov et~al.(2018)Shaposhnikov, Rodin, Medvedev, Fedorova,
Kuroda, and Hartogh}}?><label>Shaposhnikov et al.(2018)Shaposhnikov, Rodin, Medvedev, Fedorova,
Kuroda, and Hartogh</label><?label Shaposhnikov2018?><mixed-citation>Shaposhnikov, D. S., Rodin, A. V., Medvedev, A. S., Fedorova, A. A., Kuroda,
T., and Hartogh, P.: Modeling the Hydrological Cycle in the Atmosphere of
Mars: Influence of a Bimodal Size Distribution of Aerosol Nucleation
Particles, J. Geophys. Res.-Planet., 123, 508–526,
<ext-link xlink:href="https://doi.org/10.1002/2017JE005384" ext-link-type="DOI">10.1002/2017JE005384</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx91"><?xmltex \def\ref@label{{Singh et~al.(2018)Singh, Flanner, and Millour}}?><label>Singh et al.(2018)Singh, Flanner, and Millour</label><?label Singh2018?><mixed-citation>Singh, D., Flanner, M. G., and Millour, E.: Improvement of Mars Surface Snow
Albedo Modeling in LMD Mars GCM With SNICAR, J. Geophys.
Res.-Planet., 123, 780–791, <ext-link xlink:href="https://doi.org/10.1002/2017JE005368" ext-link-type="DOI">10.1002/2017JE005368</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx92"><?xmltex \def\ref@label{{Smith et~al.(1999)Smith, Zuber, Solomon, Phillips, Head, Garvin,
Banerdt, Muhleman, Pettengill, Neumann, Lemoine, Abshire, Aharonson, Brown,
Hauck, Ivanov, McGovern, Zwally, and Duxbury}}?><label>Smith et al.(1999)Smith, Zuber, Solomon, Phillips, Head, Garvin,
Banerdt, Muhleman, Pettengill, Neumann, Lemoine, Abshire, Aharonson, Brown,
Hauck, Ivanov, McGovern, Zwally, and Duxbury</label><?label Smith1999?><mixed-citation>Smith, D. E., Zuber, M. T., Solomon, S. C., Phillips, R. J., Head, J. W.,
Garvin, J. B., Banerdt, W. B., Muhleman, D. O., Pettengill, G. H., Neumann,
G. A., Lemoine, F. G., Abshire, J. B., Aharonson, O., Brown, C. D., Hauck,
S. A., Ivanov, A. B., McGovern, P. J., Zwally, H. J., and Duxbury, T. C.:
The global topography of Mars and implications for surface evolution,
Science, 284, 1495–1503, <ext-link xlink:href="https://doi.org/10.1126/science.284.5419.1495" ext-link-type="DOI">10.1126/science.284.5419.1495</ext-link>, 1999.</mixed-citation></ref>
      <ref id="bib1.bibx93"><?xmltex \def\ref@label{{Spafford and MacDougall(2021)}}?><label>Spafford and MacDougall(2021)</label><?label Spafford2021?><mixed-citation>Spafford, L. and MacDougall, A. H.: Validation of terrestrial biogeochemistry in CMIP6 Earth system models: a review, Geosci. Model Dev., 14, 5863–5889, <ext-link xlink:href="https://doi.org/10.5194/gmd-14-5863-2021" ext-link-type="DOI">10.5194/gmd-14-5863-2021</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx94"><?xmltex \def\ref@label{{Spiga and Forget(2009)}}?><label>Spiga and Forget(2009)</label><?label Spiga2009?><mixed-citation>Spiga, A. and Forget, F.: A new model to simulate the Martian mesoscale and
microscale atmospheric circulation: Validation and first results, J.
Geophys. Res.-Planet., 114, E02009, <ext-link xlink:href="https://doi.org/10.1029/2008JE003242" ext-link-type="DOI">10.1029/2008JE003242</ext-link>,
2009.</mixed-citation></ref>
      <ref id="bib1.bibx95"><?xmltex \def\ref@label{{Spiga et~al.(2013)Spiga, Faure, Madeleine,
M\"{a}\"{a}tt\"{a}nen, and Forget}}?><label>Spiga et al.(2013)Spiga, Faure, Madeleine,
Määttänen, and Forget</label><?label Spiga2013?><mixed-citation>Spiga, A., Faure, J., Madeleine, J. B., Määttänen, A., and
Forget, F.: Rocket dust storms and detached dust layers in the Martian
atmosphere, J. Geophys. Res.-Planet., 118, 746–767,
<ext-link xlink:href="https://doi.org/10.1002/jgre.20046" ext-link-type="DOI">10.1002/jgre.20046</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx96"><?xmltex \def\ref@label{{Spiga et~al.(2017)Spiga, Hinson, Madeleine, Navarro, Millour, Forget,
and Montmessin}}?><label>Spiga et al.(2017)Spiga, Hinson, Madeleine, Navarro, Millour, Forget,
and Montmessin</label><?label Spiga2017?><mixed-citation>Spiga, A., Hinson, D. P., Madeleine, J. B., Navarro, T., Millour, E., Forget,
F., and Montmessin, F.: Snow precipitation on Mars driven by cloud-induced
night-time convection, Nat. Geosci., 10, 652–657,
<ext-link xlink:href="https://doi.org/10.1038/ngeo3008" ext-link-type="DOI">10.1038/ngeo3008</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx97"><?xmltex \def\ref@label{{Staniforth and Wood(2003)}}?><label>Staniforth and Wood(2003)</label><?label Staniforth2003?><mixed-citation>Staniforth, A. and Wood, N.: The deep-atmosphere Euler equations in a
generalized vertical coordinate, Mon. Weather Rev., 131, 1931–1938,
<ext-link xlink:href="https://doi.org/10.1175//2564.1" ext-link-type="DOI">10.1175//2564.1</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx98"><?xmltex \def\ref@label{{Staniforth and Wood(2008)}}?><label>Staniforth and Wood(2008)</label><?label Staniforth2008?><mixed-citation>Staniforth, A. and Wood, N.: Aspects of the dynamical core of a
nonhydrostatic, deep-atmosphere, unified weather and climate-prediction
model, J. Comput. Phys., 227, 3445–3464,
<ext-link xlink:href="https://doi.org/10.1016/j.jcp.2006.11.009" ext-link-type="DOI">10.1016/j.jcp.2006.11.009</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx99"><?xmltex \def\ref@label{{Steele et~al.(2017)Steele, Balme, Lewis, and Spiga}}?><label>Steele et al.(2017)Steele, Balme, Lewis, and Spiga</label><?label Steele2017?><mixed-citation>Steele, L. J., Balme, M. R., Lewis, S. R., and Spiga, A.: The water cycle and
regolith–atmosphere interaction at Gale crater, Mars, Icarus, 289, 56–79,
<ext-link xlink:href="https://doi.org/10.1016/j.icarus.2017.02.010" ext-link-type="DOI">10.1016/j.icarus.2017.02.010</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx100"><?xmltex \def\ref@label{{Streeter et~al.(2020)Streeter, Lewis, Patel, Holmes, and
Kass}}?><label>Streeter et al.(2020)Streeter, Lewis, Patel, Holmes, and
Kass</label><?label Streeter2020?><mixed-citation>Streeter, P. M., Lewis, S. R., Patel, M. R., Holmes, J. A., and Kass, D. M.:
Surface Warming During the 2018/Mars Year 34 Global Dust Storm, Geophys.
Res. Lett., 47, e2019GL083936, <ext-link xlink:href="https://doi.org/10.1029/2019GL083936" ext-link-type="DOI">10.1029/2019GL083936</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx101"><?xmltex \def\ref@label{{Sullivan and Kaszynski(2019)}}?><label>Sullivan and Kaszynski(2019)</label><?label Sullivan2019?><mixed-citation>Sullivan, C. and Kaszynski, A.: PyVista: 3D plotting and mesh analysis through
a streamlined interface for the Visualization Toolkit (VTK), Journal of Open
Source Software, 4, 1450, <ext-link xlink:href="https://doi.org/10.21105/joss.01450" ext-link-type="DOI">10.21105/joss.01450</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx102"><?xmltex \def\ref@label{{Tillman(1989)}}?><label>Tillman(1989)</label><?label Tillman1989?><mixed-citation>Tillman, J. E.: VL1/VL2-M-MET-4-DAILY-AVG-PRESSURE-V1.0, NASA [data set],
<uri>https://atmos.nmsu.edu/data_and_services/atmospheres_data/MARS/viking/sol_avg_sur_press_data.html</uri> (last access: 16 January 2023),
1989.</mixed-citation></ref>
      <ref id="bib1.bibx103"><?xmltex \def\ref@label{{Turbet et~al.(2022)Turbet, Fauchez, Sergeev, Boutle, Tsigaridis, Way,
Wolf, Domagal-Goldman, Forget, Haqq-Misra, Kopparapu, Lambert, Manners,
Mayne, and Sohl}}?><label>Turbet et al.(2022)Turbet, Fauchez, Sergeev, Boutle, Tsigaridis, Way,
Wolf, Domagal-Goldman, Forget, Haqq-Misra, Kopparapu, Lambert, Manners,
Mayne, and Sohl</label><?label Turbet2021?><mixed-citation>Turbet, M., Fauchez, T. J., Sergeev, D. E., Boutle, I. A., Tsigaridis, K., Way,
M. J., Wolf, E. T., Domagal-Goldman, S. D., Forget, F., Haqq-Misra, J.,
Kopparapu, R. K., Lambert, F. H., Manners, J., Mayne, N. J., and Sohl, L.:
The TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI). I. Dry Cases – The Fellowship of the GCMs, Planetary Science Journal, 3, 211,
<ext-link xlink:href="https://doi.org/10.3847/PSJ/ac6cf0" ext-link-type="DOI">10.3847/PSJ/ac6cf0</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bibx104"><?xmltex \def\ref@label{{Vosper(2015)}}?><label>Vosper(2015)</label><?label Vosper2015a?><mixed-citation>Vosper, S. B.: Mountain waves and wakes generated by South Georgia:
Implications for drag parametrization, Q. J. Roy.
Meteor. Soc., 141, 2813–2827, <ext-link xlink:href="https://doi.org/10.1002/qj.2566" ext-link-type="DOI">10.1002/qj.2566</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx105"><?xmltex \def\ref@label{{Walters et~al.(2019)Walters, Baran, Boutle, Brooks, Earnshaw,
Edwards, Furtado, Hill, Lock, Manners, Morcrette, Mulcahy, Sanchez, Smith,
Stratton, Tennant, Tomassini, Van~Weverberg, Vosper, Willett, Browse,
Bushell, Carslaw, Dalvi, Essery, Gedney, Hardiman, Johnson, Johnson, Jones,
Jones, Mann, Milton, Rumbold, Sellar, Ujiie, Whitall, Williams, and
Zerroukat}}?><label>Walters et al.(2019)Walters, Baran, Boutle, Brooks, Earnshaw,
Edwards, Furtado, Hill, Lock, Manners, Morcrette, Mulcahy, Sanchez, Smith,
Stratton, Tennant, Tomassini, Van Weverberg, Vosper, Willett, Browse,
Bushell, Carslaw, Dalvi, Essery, Gedney, Hardiman, Johnson, Johnson, Jones,
Jones, Mann, Milton, Rumbold, Sellar, Ujiie, Whitall, Williams, and
Zerroukat</label><?label Walters2019?><mixed-citation>Walters, D., Baran, A. J., Boutle, I., Brooks, M., Earnshaw, P., Edwards, J., Furtado, K., Hill, P., Lock, A., Manners, J., Morcrette, C., Mulcahy, J., Sanchez, C., Smith, C., Stratton, R., Tennant, W., Tomassini, L., Van Weverberg, K., Vosper, S., Willett, M., Browse, J., Bushell, A., Carslaw, K., Dalvi, M., Essery, R., Gedney, N., Hardiman, S., Johnson, B., Johnson, C., Jones, A., Jones, C., Mann, G., Milton, S., Rumbold, H., Sellar, A., Ujiie, M., Whitall, M., Williams, K., and Zerroukat, M.: The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., 12, 1909–1963, <ext-link xlink:href="https://doi.org/10.5194/gmd-12-1909-2019" ext-link-type="DOI">10.5194/gmd-12-1909-2019</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx106"><?xmltex \def\ref@label{{Wang et~al.(2018)Wang, Forget, Bertrand, Spiga, Millour, and
Navarro}}?><label>Wang et al.(2018)Wang, Forget, Bertrand, Spiga, Millour, and
Navarro</label><?label Wang2018?><mixed-citation>Wang, C., Forget, F., Bertrand, T., Spiga, A., Millour, E., and Navarro, T.:
Parameterization of Rocket Dust Storms on Mars in the LMD Martian GCM:
Modeling Details and Validation, J. Geophys. Res.-Planet.,
123, 982–1000, <ext-link xlink:href="https://doi.org/10.1002/2017JE005255" ext-link-type="DOI">10.1002/2017JE005255</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx107"><?xmltex \def\ref@label{{Wang and Richardson(2015)}}?><label>Wang and Richardson(2015)</label><?label Wang2015?><mixed-citation>Wang, H. and Richardson, M. I.: The origin, evolution, and trajectory of large
dust storms on Mars during Mars years 24–30 (1999–2011), Icarus, 251,
112–127, <ext-link xlink:href="https://doi.org/10.1016/j.icarus.2013.10.033" ext-link-type="DOI">10.1016/j.icarus.2013.10.033</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx108"><?xmltex \def\ref@label{{Way et~al.(2017)Way, Aleinov, Amundsen, Chandler, Clune, Genio,
Fujii, Kelley, Kiang, Sohl, and Tsigaridis}}?><label>Way et al.(2017)Way, Aleinov, Amundsen, Chandler, Clune, Genio,
Fujii, Kelley, Kiang, Sohl, and Tsigaridis</label><?label Way2017?><mixed-citation>Way, M. J., Aleinov, I., Amundsen, D. S., Chandler, M. A., Clune, T. L., Genio,
A. D. D., Fujii, Y., Kelley, M., Kiang, N. Y., Sohl, L., and Tsigaridis, K.:
Resolving Orbital and Climate Keys of Earth and Extraterrestrial
Environments with Dynamics (ROCKE-3D) 1.0: A General Circulation Model for
Simulating the Climates of Rocky Planets, Astrophys. J.
Suppl. S., 231, 12, <ext-link xlink:href="https://doi.org/10.3847/1538-4365/aa7a06" ext-link-type="DOI">10.3847/1538-4365/aa7a06</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx109"><?xmltex \def\ref@label{{Webster et~al.(2003)Webster, Brown, Cameron, and Jones}}?><label>Webster et al.(2003)Webster, Brown, Cameron, and Jones</label><?label Webster2003?><mixed-citation>Webster, S., Brown, A. R., Cameron, D. R., and Jones, C. P.: Improvements to
the representation of orography in the Met Office Unified Model, Q.
J. Roy. Meteor. Soc., 129, 1989–2010,
<ext-link xlink:href="https://doi.org/10.1256/qj.02.133" ext-link-type="DOI">10.1256/qj.02.133</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx110"><?xmltex \def\ref@label{{Wilson et~al.(2008{\natexlab{a}})Wilson, Bushell, Kerr-Munslow,
Price, and Morcrette}}?><label>Wilson et al.(2008a)Wilson, Bushell, Kerr-Munslow,
Price, and Morcrette</label><?label Wilson2008b?><mixed-citation>Wilson, D. R., Bushell, A. C., Kerr-Munslow, A. M., Price, J. D., and
Morcrette, C. J.: PC2: A prognostic cloud fraction and condensation scheme.
I: Scheme description, Q. J. Roy. Meteor.
Soc., 134, 2093–2107, <ext-link xlink:href="https://doi.org/10.1002/qj.333" ext-link-type="DOI">10.1002/qj.333</ext-link>, 2008a.</mixed-citation></ref>
      <ref id="bib1.bibx111"><?xmltex \def\ref@label{{Wilson et~al.(2008{\natexlab{b}})Wilson, Bushell, Kerr-Munslow,
Price, Morcrette, and Bodas-Salcedo}}?><label>Wilson et al.(2008b)Wilson, Bushell, Kerr-Munslow,
Price, Morcrette, and Bodas-Salcedo</label><?label Wilson2008a?><mixed-citation>Wilson, D. R., Bushell, A. C., Kerr-Munslow, A. M., Price, J. D., Morcrette,
C. J., and Bodas-Salcedo, A.: PC2: A prognostic cloud fraction and
condensation scheme. II: Climate model simulations, Q. J.
Roy. Meteor. Soc., 134, 2109–2125, <ext-link xlink:href="https://doi.org/10.1002/qj.332" ext-link-type="DOI">10.1002/qj.332</ext-link>,
2008b.</mixed-citation></ref>
      <ref id="bib1.bibx112"><?xmltex \def\ref@label{{Wolff et~al.(2009)Wolff, Smith, Clancy, Arvidson, Kahre, Seelos~IV,
Murchie, and Savij\"{a}rvi}}?><label>Wolff et al.(2009)Wolff, Smith, Clancy, Arvidson, Kahre, Seelos IV,
Murchie, and Savijärvi</label><?label Wolff2009?><mixed-citation>Wolff, M. J., Smith, M. D., Clancy, R. T., Arvidson, R., Kahre, M., Seelos IV,
F., Murchie, S., and Savijärvi, H.: Wavelength dependence of dust
aerosol single scattering albedo as observed by the Compact Reconnaissance
Imaging Spectrometer, J. Geophys. Res.-Planet., 114,
E00D04, <ext-link xlink:href="https://doi.org/10.1029/2009JE003350" ext-link-type="DOI">10.1029/2009JE003350</ext-link>, 2009.
</mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bibx113"><?xmltex \def\ref@label{{Wood et~al.(2014)Wood, Staniforth, White, Allen, Diamantakis, Gross,
Melvin, Smith, Vosper, Zerroukat, and Thuburn}}?><label>Wood et al.(2014)Wood, Staniforth, White, Allen, Diamantakis, Gross,
Melvin, Smith, Vosper, Zerroukat, and Thuburn</label><?label Wood2014?><mixed-citation>Wood, N., Staniforth, A., White, A., Allen, T., Diamantakis, M., Gross, M.,
Melvin, T., Smith, C., Vosper, S., Zerroukat, M., and Thuburn, J.: An
inherently mass-conserving semi-implicit semi-Lagrangian discretization of
the deep-atmosphere global non-hydrostatic equations, Q. J. Roy. Meteor. Soc., 140, 1505–1520, <ext-link xlink:href="https://doi.org/10.1002/qj.2235" ext-link-type="DOI">10.1002/qj.2235</ext-link>,
2014.</mixed-citation></ref>
      <ref id="bib1.bibx114"><?xmltex \def\ref@label{{Woodward(2001)}}?><label>Woodward(2001)</label><?label Woodward2001?><mixed-citation>Woodward, S.: Modeling the atmospheric life cycle and radiative impact of
mineral dust in the Hadley Centre climate model, J. Geophys.
Res.-Atmos., 106, 18155–18166,
<ext-link xlink:href="https://doi.org/10.1029/2000JD900795" ext-link-type="DOI">10.1029/2000JD900795</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bibx115"><?xmltex \def\ref@label{{Woodward(2011)}}?><label>Woodward(2011)</label><?label Woodward2011?><mixed-citation>Woodward, S.: Mineral Dust in HadGEM 2 Technical Report 87, Tech. Rep. March,
Met Office, Hadley Centre, Met Office, Exeter,
<uri>https://sds-was.aemet.es/forecast-products/dust-forecasts/Woodward_2011_HadGEM2.pdf</uri> (last access: 16 January 2023),
2011.</mixed-citation></ref>
      <ref id="bib1.bibx116"><?xmltex \def\ref@label{{Woodward et~al.(2022)Woodward, Sellar, Tang, Stringer, Yool,
Robertson, and Wiltshire}}?><label>Woodward et al.(2022)Woodward, Sellar, Tang, Stringer, Yool,
Robertson, and Wiltshire</label><?label Woodward2022?><mixed-citation>Woodward, S., Sellar, A. A., Tang, Y., Stringer, M., Yool, A., Robertson, E., and Wiltshire, A.: The simulation of mineral dust in the United Kingdom Earth System Model UKESM1, Atmos. Chem. Phys., 22, 14503–14528, <ext-link xlink:href="https://doi.org/10.5194/acp-22-14503-2022" ext-link-type="DOI">10.5194/acp-22-14503-2022</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bibx117"><?xmltex \def\ref@label{{Zalucha et~al.(2010)Zalucha, Alan~Plumb, John~Wilson, Plumb, and
Wilson}}?><label>Zalucha et al.(2010)Zalucha, Alan Plumb, John Wilson, Plumb, and
Wilson</label><?label Zalucha2010?><mixed-citation>Zalucha, A. M., Alan Plumb, R., John Wilson, R., Plumb, R. A., and Wilson,
R. J.: An Analysis of the Effect of Topography on the Martian Hadley Cells,
J. Atmos. Sci., 67, 673–693,
<ext-link xlink:href="https://doi.org/10.1175/2009JAS3130.1" ext-link-type="DOI">10.1175/2009JAS3130.1</ext-link>, 2010.</mixed-citation></ref>

  </ref-list></back>
    <!--<article-title-html>A modern-day Mars climate in the Met Office Unified Model: dry simulations</article-title-html>
<abstract-html/>
<ref-html id="bib1.bib1"><label>Aharonson et al.(2004)Aharonson, Zuber, Smith, Neumann, Feldman, and
Prettyman</label><mixed-citation>
Aharonson, O., Zuber, M. T., Smith, D. E., Neumann, G. A., Feldman, W. C., and
Prettyman, T. H.: Depth, distribution, and density of CO<sub>2</sub> deposition on
Mars, J. Geophys. Res.-Planet., 109, E05004,
<a href="https://doi.org/10.1029/2003JE002223" target="_blank">https://doi.org/10.1029/2003JE002223</a>, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>Atri et al.(2023)Atri, Abdelmoneim, Dhuri, and Simoni</label><mixed-citation>
Atri, D., Abdelmoneim, N., Dhuri, D. B., and Simoni, M.: Diurnal variation of
the surface temperature of Mars with the Emirates Mars Mission: A comparison
with Curiosity and Perseverance rover measurements, Monthly Notices of the
Royal Astronomical Society: Letters, 518, L1–L6,
<a href="https://doi.org/10.1093/mnrasl/slac094" target="_blank">https://doi.org/10.1093/mnrasl/slac094</a>, 2023.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>Balkanski et al.(2007)Balkanski, Schulz, Claquin, and
Guibert</label><mixed-citation>
Balkanski, Y., Schulz, M., Claquin, T., and Guibert, S.: Reevaluation of Mineral aerosol radiative forcings suggests a better agreement with satellite and AERONET data, Atmos. Chem. Phys., 7, 81–95, <a href="https://doi.org/10.5194/acp-7-81-2007" target="_blank">https://doi.org/10.5194/acp-7-81-2007</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>Ball et al.(2021)Ball, Mitchell, Seviour, Thomson, and
Vallis</label><mixed-citation>
Ball, E. R., Mitchell, D. M., Seviour, W. J. M., Thomson, S. I., and Vallis,
G. K.: The Roles of Latent Heating and Dust in the Structure and Variability
of the Northern Martian Polar Vortex, The Planetary Science Journal, 2, 203,
<a href="https://doi.org/10.3847/psj/ac1ba2" target="_blank">https://doi.org/10.3847/psj/ac1ba2</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>Banfield et al.(2020)Banfield, Spiga, Newman, Forget, Lemmon, Lorenz,
Murdoch, Viudez-Moreiras, Pla-Garcia, Garcia, Lognonné, Karatekin,
Perrin, Martire, Teanby, Hove, Maki, Kenda, Mueller, Rodriguez, Kawamura,
McClean, Stott, Charalambous, Millour, Johnson, Mittelholz,
Määttänen, Lewis, Clinton, Stähler, Ceylan, Giardini,
Warren, Pike, Daubar, Golombek, Rolland, Widmer-Schnidrig, Mimoun, Beucler,
Jacob, Lucas, Baker, Ansan, Hurst, Mora-Sotomayor, Navarro, Torres,
Lepinette, Molina, Marin-Jimenez, Gomez-Elvira, Peinado, Rodriguez-Manfredi,
Carcich, Sackett, Russell, Spohn, Smrekar, and Banerdt</label><mixed-citation>
Banfield, D., Spiga, A., Newman, C., Forget, F., Lemmon, M., Lorenz, R.,
Murdoch, N., Viudez-Moreiras, D., Pla-Garcia, J., Garcia, R. F.,
Lognonné, P., Karatekin, Ã., Perrin, C., Martire, L., Teanby, N., Hove,
B. V., Maki, J. N., Kenda, B., Mueller, N. T., Rodriguez, S., Kawamura, T.,
McClean, J. B., Stott, A. E., Charalambous, C., Millour, E., Johnson, C. L.,
Mittelholz, A., Määttänen, A., Lewis, S. R., Clinton, J.,
Stähler, S. C., Ceylan, S., Giardini, D., Warren, T., Pike, W. T.,
Daubar, I., Golombek, M., Rolland, L., Widmer-Schnidrig, R., Mimoun, D.,
Beucler, E., Jacob, A., Lucas, A., Baker, M., Ansan, V., Hurst, K.,
Mora-Sotomayor, L., Navarro, S., Torres, J., Lepinette, A., Molina, A.,
Marin-Jimenez, M., Gomez-Elvira, J., Peinado, V., Rodriguez-Manfredi, J. A.,
Carcich, B. T., Sackett, S., Russell, C. T., Spohn, T., Smrekar, S. E., and
Banerdt, W. B.: The atmosphere of Mars as observed by InSight, Nat.
Geosci., 13, 190–198, <a href="https://doi.org/10.1038/s41561-020-0534-0" target="_blank">https://doi.org/10.1038/s41561-020-0534-0</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>Benacchio and Wood(2016)</label><mixed-citation>
Benacchio, T. and Wood, N.: Semi-implicit semi-Lagrangian modelling of the
atmosphere: a Met Office perspective, Communications in Applied and
Industrial Mathematics, 7, 4–25, <a href="https://doi.org/10.1515/caim-2016-0020" target="_blank">https://doi.org/10.1515/caim-2016-0020</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>Bonev et al.(2008)Bonev, Hansen, Glenar, James, and
Bjorkman</label><mixed-citation>
Bonev, B. P., Hansen, G. B., Glenar, D. A., James, P. B., and Bjorkman, J. E.:
Albedo models for the residual south polar cap on Mars: Implications for the
stability of the cap under near-perihelion global dust storm conditions,
Planet. Space Sci., 56, 181–193, <a href="https://doi.org/10.1016/j.pss.2007.08.003" target="_blank">https://doi.org/10.1016/j.pss.2007.08.003</a>,
2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>Boutle et al.(2017)Boutle, Mayne, Drummond, Manners, Goyal,
Hugo Lambert, Acreman, and Earnshaw</label><mixed-citation>
Boutle, I. A., Mayne, N. J., Drummond, B., Manners, J., Goyal, J.,
Hugo Lambert, F., Acreman, D. M., and Earnshaw, P. D.: Exploring the climate
of Proxima B with the Met Office Unified Model, Astron. Astrophys.,
601, A120, <a href="https://doi.org/10.1051/0004-6361/201630020" target="_blank">https://doi.org/10.1051/0004-6361/201630020</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>Boutle et al.(2020)Boutle, Joshi, Lambert, Mayne, Lyster, Manners,
Ridgway, and Kohary</label><mixed-citation>
Boutle, I. A., Joshi, M., Lambert, F. H., Mayne, N. J., Lyster, D., Manners,
J., Ridgway, R., and Kohary, K.: Mineral dust increases the habitability of
terrestrial planets but confounds biomarker detection, Nat.
Commun., 11, 2731, <a href="https://doi.org/10.1038/s41467-020-16543-8" target="_blank">https://doi.org/10.1038/s41467-020-16543-8</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>Brown et al.(2014)Brown, Piqueux, and Titus</label><mixed-citation>
Brown, A. J., Piqueux, S., and Titus, T. N.: Interannual observations and
quantification of summertime H<sub>2</sub>O ice deposition on the Martian CO<sub>2</sub> ice south
polar cap, Earth Planet. Sc. Lett., 406, 102–109,
<a href="https://doi.org/10.1016/j.epsl.2014.08.039" target="_blank">https://doi.org/10.1016/j.epsl.2014.08.039</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>Chaffin et al.(2021)Chaffin, Kass, Aoki, Fedorova, Deighan, Connour,
Heavens, Kleinböhl, Jain, Chaufray, Mayyasi, Clarke, Stewart, Evans,
Stevens, McClintock, Crismani, Holsclaw, Lefevre, Lo, Montmessin, Schneider,
Jakosky, Villanueva, Liuzzi, Daerden, Thomas, Lopez-Moreno, Patel, Bellucci,
Ristic, Erwin, Vandaele, Trokhimovskiy, and Korablev</label><mixed-citation>
Chaffin, M. S., Kass, D. M., Aoki, S., Fedorova, A. A., Deighan, J., Connour,
K., Heavens, N. G., Kleinböhl, A., Jain, S. K., Chaufray, J.-Y.,
Mayyasi, M., Clarke, J. T., Stewart, A. I. F., Evans, J. S., Stevens, M. H.,
McClintock, W. E., Crismani, M. M. J., Holsclaw, G. M., Lefevre, F., Lo,
D. Y., Montmessin, F., Schneider, N. M., Jakosky, B., Villanueva, G., Liuzzi,
G., Daerden, F., Thomas, I. R., Lopez-Moreno, J.-J., Patel, M. R., Bellucci,
G., Ristic, B., Erwin, J. T., Vandaele, A. C., Trokhimovskiy, A., and
Korablev, O. I.: Martian water loss to space enhanced by regional dust
storms, Nature Astronomy, 5, 1036–1042, <a href="https://doi.org/10.1038/s41550-021-01425-w" target="_blank">https://doi.org/10.1038/s41550-021-01425-w</a>,
2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>Chapman et al.(2017)Chapman, Lewis, Balme, and Steele</label><mixed-citation>
Chapman, R. M., Lewis, S. R., Balme, M., and Steele, L. J.: Diurnal variation
in martian dust devil activity, Icarus, 292, 154–167,
<a href="https://doi.org/10.1016/j.icarus.2017.01.003" target="_blank">https://doi.org/10.1016/j.icarus.2017.01.003</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>Colaïtis et al.(2013)Colaïtis, Spiga, Hourdin, Rio,
Forget, and Millour</label><mixed-citation>
Colaïtis, A., Spiga, A., Hourdin, F., Rio, C., Forget, F., and Millour,
E.: A thermal plume model for the Martian convective boundary layer,
J. Geophys. Res.-Planet., 118, 1468–1487,
<a href="https://doi.org/10.1002/jgre.20104" target="_blank">https://doi.org/10.1002/jgre.20104</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>Cooper et al.(2021)Cooper, Torre Juárez, Mischna, Lemmon,
Martínez, Kass, Vasavada, Campbell, and Moores</label><mixed-citation>
Cooper, B., Torre Juárez, M., Mischna, M., Lemmon, M., Martínez,
G., Kass, D., Vasavada, A. R., Campbell, C., and Moores, J.: Thermal Forcing
of the Nocturnal Near Surface Environment by Martian Water Ice Clouds,
J. Geophys. Res.-Planet., 126, e2020JE006737,
<a href="https://doi.org/10.1029/2020je006737" target="_blank">https://doi.org/10.1029/2020je006737</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>Drummond et al.(2018)Drummond, Mayne, Baraffe, Tremblin, Manners,
Amundsen, Goyal, and Acreman</label><mixed-citation>
Drummond, B., Mayne, N. J., Baraffe, I., Tremblin, P., Manners, J., Amundsen,
D. S., Goyal, J., and Acreman, D.: The effect of metallicity on the
atmospheres of exoplanets with fully coupled 3D hydrodynamics, equilibrium
chemistry, and radiative transfer, Astron. Astrophys., 612, A105,
<a href="https://doi.org/10.1051/0004-6361/201732010" target="_blank">https://doi.org/10.1051/0004-6361/201732010</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>Eager-Nash et al.(2020)Eager-Nash, Reichelt, Mayne, Hugo Lambert,
Sergeev, Ridgway, Manners, Boutle, Lenton, and Kohary</label><mixed-citation>
Eager-Nash, J. K., Reichelt, D. J., Mayne, N. J., Hugo Lambert, F., Sergeev,
D. E., Ridgway, R. J., Manners, J., Boutle, I. A., Lenton, T. M., and Kohary,
K.: Implications of different stellar spectra for the climate of tidally
locked Earth-like exoplanets, Astron. Astrophys., 639, A99,
<a href="https://doi.org/10.1051/0004-6361/202038089" target="_blank">https://doi.org/10.1051/0004-6361/202038089</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>Edwards and Slingo(1996)</label><mixed-citation>
Edwards, J. M. and Slingo, A.: Studies with a flexible new radiation code. I:
Choosing a configuration for a large-scale model, Q. J.
Roy. Meteor. Soc., 122, 689–719, <a href="https://doi.org/10.1256/smsqj.53106" target="_blank">https://doi.org/10.1256/smsqj.53106</a>, 1996.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>Eyring et al.(2016)Eyring, Bony, Meehl, Senior, Stevens, Stouffer,
and Taylor</label><mixed-citation>
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., and Taylor, K. E.: Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9, 1937–1958, <a href="https://doi.org/10.5194/gmd-9-1937-2016" target="_blank">https://doi.org/10.5194/gmd-9-1937-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>Fauchez et al.(2022)Fauchez, Villanueva, Sergeev, Turbet, Boutle,
Tsigaridis, Way, Wolf, Domagal-Goldman, Forget, Haqq-Misra, Kopparapu,
Manners, and Mayne</label><mixed-citation>
Fauchez, T. J., Villanueva, G. L., Sergeev, D. E., Turbet, M., Boutle, I. A.,
Tsigaridis, K., Way, M. J., Wolf, E. T., Domagal-Goldman, S. D., Forget, F.,
Haqq-Misra, J., Kopparapu, R. K., Manners, J., and Mayne, N. J.: The TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI). III. Simulated Observables – the Return of the Spectrum, Planetary Science Journal, 3, 213,
<a href="https://doi.org/10.3847/PSJ/ac6cf1" target="_blank">https://doi.org/10.3847/PSJ/ac6cf1</a>, 2022.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>Fischer et al.(2019)Fischer, Martínez, Rennó, Tamppari,
and Zent</label><mixed-citation>
Fischer, E., Martínez, G. M., Rennó, N. O., Tamppari, L. K., and
Zent, A. P.: Relative Humidity on Mars: New Results From the Phoenix TECP
Sensor, J. Geophys. Res.-Planet., 124, 2780–2792,
<a href="https://doi.org/10.1029/2019JE006080" target="_blank">https://doi.org/10.1029/2019JE006080</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>Forget and Montabone(2017)</label><mixed-citation>
Forget, F. and Montabone, L.: Atmospheric Dust on Mars: A Review, 47th
International Conference on Environmental Systems, Charleston, South Carolina, 16–20 July 2017, 175, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>Forget et al.(1998)Forget, Hourdin, and Talagrand</label><mixed-citation>
Forget, F., Hourdin, F., and Talagrand, O.: CO<sub>2</sub> Snowfall on Mars: Simulation
with a General Circulation Model, Icarus, 131, 302–316,
<a href="https://doi.org/10.1006/icar.1997.5874" target="_blank">https://doi.org/10.1006/icar.1997.5874</a>, 1998.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>Forget et al.(1999)Forget, Hourdin, Fournier, Hourdin, Talagrand,
Collins, Lewis, Read, and Huot</label><mixed-citation>
Forget, F., Hourdin, F., Fournier, R., Hourdin, C., Talagrand, O., Collins, M.,
Lewis, S. R., Read, P. L., and Huot, J. P.: Improved general circulation
models of the Martian atmosphere from the surface to above 80&thinsp;km, J.
Geophys. Res.-Planet., 104, 24155–24175,
<a href="https://doi.org/10.1029/1999JE001025" target="_blank">https://doi.org/10.1029/1999JE001025</a>, 1999.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>Gary-Bicas et al.(2020)Gary-Bicas, Hayne, Horvath, Heavens, Kass,
Kleinböhl, Piqueux, Shirley, Schofield, and McCleese</label><mixed-citation>
Gary-Bicas, C. E., Hayne, P. O., Horvath, T., Heavens, N. G., Kass, D. M.,
Kleinböhl, A., Piqueux, S., Shirley, J. H., Schofield, J. T., and
McCleese, D. J.: Asymmetries in Snowfall, Emissivity, and Albedo of Mars'
Seasonal Polar Caps: Mars Climate Sounder Observations, J.
Geophys. Res.-Planet., 125, e2019JE006150, <a href="https://doi.org/10.1029/2019JE006150" target="_blank">https://doi.org/10.1029/2019JE006150</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>Gebhardt et al.(2020)Gebhardt, Abuelgasim, Fonseca,
Martín-Torres, and Zorzano</label><mixed-citation>
Gebhardt, C., Abuelgasim, A., Fonseca, R. M., Martín-Torres, J., and
Zorzano, M. P.: Fully Interactive and Refined Resolution Simulations of the
Martian Dust Cycle by the MarsWRF Model, J. Geophys. Res.-Planet., 125, e2019JE006253, <a href="https://doi.org/10.1029/2019JE006253" target="_blank">https://doi.org/10.1029/2019JE006253</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>Gierasch and Toon(1973)</label><mixed-citation>
Gierasch, P. J. and Toon, O. B.: Atmospheric Pressure Variation and the
Climate of Mars, J. Atmos. Sci., 30, 1502–1508,
<a href="https://doi.org/10.1175/1520-0469(1973)030&lt;1502:APVATC&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0469(1973)030&lt;1502:APVATC&gt;2.0.CO;2</a>, 1973.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>González-Galindo et al.(2010)González-Galindo, Bougher,
López-Valverde, Forget, and Murphy</label><mixed-citation>
González-Galindo, F., Bougher, S. W., López-Valverde, M. A.,
Forget, F., and Murphy, J.: Thermal and wind structure of the Martian
thermosphere as given by two General Circulation Models, Planet. Space
Sci., 58, 1832–1849, <a href="https://doi.org/10.1016/j.pss.2010.08.013" target="_blank">https://doi.org/10.1016/j.pss.2010.08.013</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>González-Galindo et al.(2015)González-Galindo,
López-Valverde, Forget, García-Comas, Millour, and
Montabone</label><mixed-citation>
González-Galindo, F., López-Valverde, M. A., Forget, F.,
García-Comas, M., Millour, E., and Montabone, L.: Variability of the
Martian thermosphere during eight Martian years as simulated by a
ground-to-exosphere global circulation model, J. Geophys.
Res.-Planet., 120, 2020–2035, <a href="https://doi.org/10.1002/2015JE004925" target="_blank">https://doi.org/10.1002/2015JE004925</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>Gronoff et al.(2020)Gronoff, Arras, Baraka, Bell, Cessateur, Cohen,
Curry, Drake, Elrod, Erwin, Garcia-Sage, Garraffo, Glocer, Heavens, Lovato,
Maggiolo, Parkinson, Simon Wedlund, Weimer, and Moore</label><mixed-citation>
Gronoff, G., Arras, P., Baraka, S., Bell, J. M., Cessateur, G., Cohen, O.,
Curry, S. M., Drake, J. J., Elrod, M., Erwin, J., Garcia-Sage, K., Garraffo,
C., Glocer, A., Heavens, N. G., Lovato, K., Maggiolo, R., Parkinson, C. D.,
Simon Wedlund, C., Weimer, D. R., and Moore, W. B.: Atmospheric Escape
Processes and Planetary Atmospheric Evolution, J. Geophys.
Res.-Space, 125,  e2019JA027639, <a href="https://doi.org/10.1029/2019JA027639" target="_blank">https://doi.org/10.1029/2019JA027639</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>Haberle et al.(2001)Haberle, McKay, Schaeffer, Cabrol, Grin, Zent,
and Quinn</label><mixed-citation>
Haberle, R. M., McKay, C. P., Schaeffer, J., Cabrol, N. A., Grin, E. A., Zent,
A. P., and Quinn, R.: On the possibility of liquid water on present-day
Mars, J. Geophys. Res.-Planet., 106, 23317–23326,
<a href="https://doi.org/10.1029/2000JE001360" target="_blank">https://doi.org/10.1029/2000JE001360</a>, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>Haberle et al.(2008)Haberle, Forget, Colaprete, Schaeffer, Boynton,
Kelly, and Chamberlain</label><mixed-citation>
Haberle, R. M., Forget, F., Colaprete, A., Schaeffer, J., Boynton, W. V.,
Kelly, N. J., and Chamberlain, M. A.: The effect of ground ice on the
Martian seasonal CO<sub>2</sub> cycle, Planet. Space Sci., 56, 251–255,
<a href="https://doi.org/10.1016/j.pss.2007.08.006" target="_blank">https://doi.org/10.1016/j.pss.2007.08.006</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>Haberle et al.(2019)Haberle, Kahre, Hollingsworth, Montmessin,
Wilson, Urata, Brecht, Wolff, Kling, and Schaeffer</label><mixed-citation>
Haberle, R. M., Kahre, M. A., Hollingsworth, J. L., Montmessin, F., Wilson,
R. J., Urata, R. A., Brecht, A. S., Wolff, M. J., Kling, A. M., and
Schaeffer, J. R.: Documentation of the NASA/Ames Legacy Mars Global Climate
Model: Simulations of the present seasonal water cycle, Icarus, 333,
130–164, <a href="https://doi.org/10.1016/j.icarus.2019.03.026" target="_blank">https://doi.org/10.1016/j.icarus.2019.03.026</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>Hayne et al.(2012)Hayne, Paige, Schofield, Kass, Kleinbhl, Heavens,
and McCleese</label><mixed-citation>
Hayne, P. O., Paige, D. A., Schofield, J. T., Kass, D. M., Kleinbhl, A.,
Heavens, N. G., and McCleese, D. J.: Carbon dioxide snow clouds on Mars:
South polar winter observations by the Mars Climate Sounder, J.
Geophys. Res.-Planet., 117, E08014, <a href="https://doi.org/10.1029/2011JE004040" target="_blank">https://doi.org/10.1029/2011JE004040</a>,
2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>Heavens et al.(2011)Heavens, Richardson, Kleinböhl, Kass,
McCleese, Abdou, Benson, Schofield, Shirley, and Wolkenberg</label><mixed-citation>
Heavens, N. G., Richardson, M. I., Kleinböhl, A., Kass, D. M., McCleese,
D. J., Abdou, W., Benson, J. L., Schofield, J. T., Shirley, J. H., and
Wolkenberg, P. M.: Vertical distribution of dust in the Martian atmosphere
during northern spring and summer: High-altitude tropical dust maximum at
northern summer solstice, J. Geophys. Res.-Planet., 116,
E01007, <a href="https://doi.org/10.1029/2010JE003692" target="_blank">https://doi.org/10.1029/2010JE003692</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>Hébrard et al.(2012)</label><mixed-citation>
Hébrard, E., Listowski, C., Coll, P., Marticorena, B., Bergametti, G.,
Määttänen, A., Montmessin, F., and Forget, F.: An
aerodynamic roughness length map derived from extended Martian rock abundance
data, J. Geophys. Res.-Planet., 117, E04008,
<a href="https://doi.org/10.1029/2011JE003942" target="_blank">https://doi.org/10.1029/2011JE003942</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>Hinson and Wilson(2004)</label><mixed-citation>
Hinson, D. P. and Wilson, R. J.: Temperature inversions, thermal tides, and
water ice clouds in the Martian tropics, J. Geophys. Res.-Planet., 109, E01002, <a href="https://doi.org/10.1029/2003je002129" target="_blank">https://doi.org/10.1029/2003je002129</a>, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>Hinson et al.(2014)Hinson, Asmar, Kahan, Akopian, Haberle, Spiga,
Schofield, Kleinböhl, Abdou, Lewis, Paik, and Maalouf</label><mixed-citation>
Hinson, D. P., Asmar, S. W., Kahan, D. S., Akopian, V., Haberle, R. M., Spiga,
A., Schofield, J. T., Kleinböhl, A., Abdou, W. A., Lewis, S. R., Paik,
M., and Maalouf, S. G.: Initial results from radio occultation measurements
with the Mars Reconnaissance Orbiter: A nocturnal mixed layer in the tropics
and comparisons with polar profiles from the Mars Climate Sounder, Icarus,
243, 91–103, <a href="https://doi.org/10.1016/j.icarus.2014.09.019" target="_blank">https://doi.org/10.1016/j.icarus.2014.09.019</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>Holmes et al.(2018)Holmes, Lewis, Patel, and
Lefèvre</label><mixed-citation>
Holmes, J. A., Lewis, S. R., Patel, M. R., and Lefèvre, F.: A reanalysis
of ozone on Mars from assimilation of SPICAM observations, Icarus, 302,
308–318, <a href="https://doi.org/10.1016/j.icarus.2017.11.026" target="_blank">https://doi.org/10.1016/j.icarus.2017.11.026</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>Houben et al.(1997)Houben, Haberle, Young, and Zent</label><mixed-citation>
Houben, H., Haberle, R. M., Young, R. E., and Zent, A. P.: Evolution of the
Martian water cycle, Adv. Space Res., 19, 1233–1236,
<a href="https://doi.org/10.1016/S0273-1177(97)00274-3" target="_blank">https://doi.org/10.1016/S0273-1177(97)00274-3</a>, 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>Hourdin et al.(1993)Hourdin, Le Van, Forget, and
Talagrand</label><mixed-citation>
Hourdin, F., Le Van, P., Forget, F., and Talagrand, O.: Meteorological
variability and the annual surface pressure cycle on Mars, J.
Atmos. Sci., 50, 3625–3640,
<a href="https://doi.org/10.1175/1520-0469(1993)050&lt;3625:MVATAS&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0469(1993)050&lt;3625:MVATAS&gt;2.0.CO;2</a>, 1993.
</mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>Hourdin et al.(1995)Hourdin, Forget, and Talagrand</label><mixed-citation>
Hourdin, F., Forget, F., and Talagrand, O.: The sensitivity of the Martian
surface pressure and atmospheric mass budget to various parameters: A
comparison between numerical simulations and Viking observations, J.
Geophys. Res., 100, 5501–5523, <a href="https://doi.org/10.1029/94je03079" target="_blank">https://doi.org/10.1029/94je03079</a>, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>Husain et al.(2019)Husain, Girard, Qaddouri, and Plante</label><mixed-citation>
Husain, S. Z., Girard, C., Qaddouri, A., and Plante, A.: A new dynamical core
of the Global Environmental Multiscale (GEM) model with a height-based
terrain-following vertical coordinate, Mon. Weather Rev., 147,
2555–2578, <a href="https://doi.org/10.1175/MWR-D-18-0438.1" target="_blank">https://doi.org/10.1175/MWR-D-18-0438.1</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>Jakosky and Edwards(2018)</label><mixed-citation>
Jakosky, B. M. and Edwards, C. S.: Inventory of CO<sub>2</sub> available for terraforming
Mars, Nature Astronomy, 2, 634–639, <a href="https://doi.org/10.1038/s41550-018-0529-6" target="_blank">https://doi.org/10.1038/s41550-018-0529-6</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>Kahre and Haberle(2010)</label><mixed-citation>
Kahre, M. A. and Haberle, R. M.: Mars CO<sub>2</sub> cycle: Effects of airborne dust and
polar cap ice emissivity, Icarus, 207, 648–653,
<a href="https://doi.org/10.1016/j.icarus.2009.12.016" target="_blank">https://doi.org/10.1016/j.icarus.2009.12.016</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib45"><label>Kahre et al.(2006)Kahre, Murphy, and Haberle</label><mixed-citation>
Kahre, M. A., Murphy, J. R., and Haberle, R. M.: Modelling the Martian dust
cycle and surface dust reservoirs with the NASA Ames general circulation
model, J. Geophys. Res.-Planet., 111,  E06008,
<a href="https://doi.org/10.1029/2005JE002588" target="_blank">https://doi.org/10.1029/2005JE002588</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib46"><label>Kahre et al.(2017)Kahre, Murphy, Newman, Wilson, Cantor, Lemmon, and
Wolff</label><mixed-citation>
Kahre, M. A., Murphy, J. R., Newman, C. E., Wilson, R. J., Cantor, B. A.,
Lemmon, M. T., and Wolff, M. J.: The Mars Dust Cycle, in: The Atmosphere
and Climate of Mars, chap. 10, Cambridge University Press, 295–337,
<a href="https://doi.org/10.1017/9781139060172.010" target="_blank">https://doi.org/10.1017/9781139060172.010</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib47"><label>Kass et al.(2003)Kass, Schofield, Michaels, Rafkin, Richardson, and
Toigo</label><mixed-citation>
Kass, D. M., Schofield, J. T., Michaels, T. I., Rafkin, S. C., Richardson,
M. I., and Toigo, A. D.: Analysis of atmospheric mesoscale models for entry,
descent, and landing, J. Geophys. Res.-Planet., 108,
8090, <a href="https://doi.org/10.1029/2003je002065" target="_blank">https://doi.org/10.1029/2003je002065</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib48"><label>Kass et al.(2020)Kass, Schofield, Kleinböhl, McCleese, Heavens,
Shirley, and Steele</label><mixed-citation>
Kass, D. M., Schofield, J. T., Kleinböhl, A., McCleese, D. J., Heavens,
N. G., Shirley, J. H., and Steele, L. J.: Mars Climate Sounder Observation
of Mars' 2018 Global Dust Storm, Geophys. Res. Lett., 47, e2019GL083931,
<a href="https://doi.org/10.1029/2019GL083931" target="_blank">https://doi.org/10.1029/2019GL083931</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib49"><label>Kieffer et al.(1977)Kieffer, Martin, Peterfreund, Jakosky, Miner, and
Palluconi</label><mixed-citation>
Kieffer, H. H., Martin, T. Z., Peterfreund, A. R., Jakosky, B. M., Miner,
E. D., and Palluconi, F. D.: Thermal and albedo mapping of Mars during the
Viking primary mission, J. Geophys. Res., 82, 4249–4291,
<a href="https://doi.org/10.1029/js082i028p04249" target="_blank">https://doi.org/10.1029/js082i028p04249</a>, 1977.
</mixed-citation></ref-html>
<ref-html id="bib1.bib50"><label>Lefèvre et al.(2008)Lefèvre, Bertaux, Clancy, Encrenaz,
Fast, Forget, Lebonnois, Montmessin, and Perrier</label><mixed-citation>
Lefèvre, F., Bertaux, J.-L., Clancy, R. T., Encrenaz, T., Fast, K.,
Forget, F., Lebonnois, S., Montmessin, F., and Perrier, S.: Heterogeneous
chemistry in the atmosphere of Mars, Nature, 454, 971–975,
<a href="https://doi.org/10.1038/nature07116" target="_blank">https://doi.org/10.1038/nature07116</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib51"><label>Lines et al.(2018)Lines, Manners, Mayne, Goyal, Carter, Boutle, Lee,
Helling, Drummond, Acreman, and Sing</label><mixed-citation>
Lines, S., Manners, J., Mayne, N. J., Goyal, J., Carter, A. L., Boutle, I. A.,
Lee, G. K., Helling, C., Drummond, B., Acreman, D. M., and Sing, D. K.:
Exonephology: Transmission spectra from a 3D simulated cloudy atmosphere of
HD 209458b, Mon. Not. R. Astron. Soc., 481,
194–205, <a href="https://doi.org/10.1093/mnras/sty2275" target="_blank">https://doi.org/10.1093/mnras/sty2275</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib52"><label>Lock et al.(2000)Lock, Brown, Bush, Martin, and Smith</label><mixed-citation>
Lock, A. P., Brown, A. R., Bush, M. R., Martin, G. M., and Smith, R. N. B.: A
New Boundary Layer Mixing Scheme. Part I: Scheme Description and
Single-Column Model Tests, Mon. Weather Rev., 128, 3187–3199,
<a href="https://doi.org/10.1175/1520-0493(2000)128&lt;3187:ANBLMS&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0493(2000)128&lt;3187:ANBLMS&gt;2.0.CO;2</a>, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib53"><label>Lora et al.(2019)Lora, Tokano, Vatant d'Ollone, Lebonnois, and
Lorenz</label><mixed-citation>
Lora, J. M., Tokano, T., Vatant d'Ollone, J., Lebonnois, S., and Lorenz, R. D.:
A model intercomparison of Titan's climate and low-latitude environment,
Icarus, 333, 113–126, <a href="https://doi.org/10.1016/j.icarus.2019.05.031" target="_blank">https://doi.org/10.1016/j.icarus.2019.05.031</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib54"><label>Lott and Miller(1997)</label><mixed-citation>
Lott, F. and Miller, M. J.: A new subgrid-scale orographic drag
parametrization: Its formulation and testing, Q. J. Roy.
Meteor. Soc., 123, 101–127, <a href="https://doi.org/10.1002/qj.49712353704" target="_blank">https://doi.org/10.1002/qj.49712353704</a>, 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib55"><label>Madeleine et al.(2012)Madeleine, Forget, Millour, Navarro, and
Spiga</label><mixed-citation>
Madeleine, J.-B., Forget, F., Millour, E., Navarro, T., and Spiga, A.: The
influence of radiatively active water ice clouds on the Martian climate,
Geophys. Res. Lett., 39, L23202, <a href="https://doi.org/10.1029/2012GL053564" target="_blank">https://doi.org/10.1029/2012GL053564</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib56"><label>Madeleine et al.(2011)Madeleine, Forget, Millour, Montabone, and
Wolff</label><mixed-citation>
Madeleine, J.-B. B., Forget, F., Millour, E., Montabone, L., and Wolff, M. J.:
Revisiting the radiative impact of dust on Mars using the LMD Global Climate
Model, J. Geophys. Res., 116, 11010,
<a href="https://doi.org/10.1029/2011JE003855" target="_blank">https://doi.org/10.1029/2011JE003855</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib57"><label>Malin et al.(2001)Malin, Caplinger, and Davis</label><mixed-citation>
Malin, M. C., Caplinger, M. A., and Davis, S. D.: Observational evidence for
an active surface reservoir of solid carbon dioxide on Mars, Science, 294,
2146–2148, <a href="https://doi.org/10.1126/science.1066416" target="_blank">https://doi.org/10.1126/science.1066416</a>, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib58"><label>Manners et al.(2012)Manners, Vosper, and Roberts</label><mixed-citation>
Manners, J., Vosper, S. B., and Roberts, N.: Radiative transfer over resolved
topographic features for high-resolution weather prediction, Q.
J. Roy. Meteor. Soc., 138, 720–733,
<a href="https://doi.org/10.1002/qj.956" target="_blank">https://doi.org/10.1002/qj.956</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib59"><label>Marticorena and Bergametti(1995)</label><mixed-citation>
Marticorena, B. and Bergametti, G.: Modeling the atmospheric dust cycle: 1.
Design of a soil-derived dust emission scheme, J. Geophys.
Res., 100, 16415–16430, <a href="https://doi.org/10.1029/95jd00690" target="_blank">https://doi.org/10.1029/95jd00690</a>, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib60"><label>Martínez et al.(2017)Martínez, Newman,
De Vicente-Retortillo, Fischer, Renno, Richardson, Fairén, Genzer,
Guzewich, Haberle, Harri, Kemppinen, Lemmon, Smith, de la Torre-Juárez,
and Vasavada</label><mixed-citation>
Martínez, G. M., Newman, C. N., De Vicente-Retortillo, A., Fischer, E.,
Renno, N. O., Richardson, M. I., Fairén, A. G., Genzer, M., Guzewich,
S. D., Haberle, R. M., Harri, A. M., Kemppinen, O., Lemmon, M. T., Smith,
M. D., de la Torre-Juárez, M., and Vasavada, A. R.: The Modern
Near-Surface Martian Climate: A Review of In-situ Meteorological Data from
Viking to Curiosity, Space Sci. Rev., 212, 295–338,
<a href="https://doi.org/10.1007/s11214-017-0360-x" target="_blank">https://doi.org/10.1007/s11214-017-0360-x</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib61"><label>Mayne et al.(2014)Mayne, Baraffe, Acreman, Smith, Wood, Amundsen,
Thuburn, and Jackson</label><mixed-citation>
Mayne, N. J., Baraffe, I., Acreman, D. M., Smith, C., Wood, N., Amundsen, D. S., Thuburn, J., and Jackson, D. R.: Using the UM dynamical cores to reproduce idealised 3-D flows, Geosci. Model Dev., 7, 3059–3087, <a href="https://doi.org/10.5194/gmd-7-3059-2014" target="_blank">https://doi.org/10.5194/gmd-7-3059-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib62"><label>Mayne et al.(2019)Mayne, Drummond, Debras, Jaupart, Manners, Boutle,
Baraffe, and Kohary</label><mixed-citation>
Mayne, N. J., Drummond, B., Debras, F., Jaupart, E., Manners, J., Boutle,
I. A., Baraffe, I., and Kohary, K.: The Limits of the Primitive Equations of
Dynamics for Warm, Slowly Rotating Small Neptunes and Super Earths,
Astrophys. J., 871, 56, <a href="https://doi.org/10.3847/1538-4357/aaf6e9" target="_blank">https://doi.org/10.3847/1538-4357/aaf6e9</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib63"><label>McCulloch et al.(2022)McCulloch, Sergeev, Mayne, Bate, Manners,
Boutle, and Drummond</label><mixed-citation>
McCulloch, D., Sergeev, D., Mayne, N., Bate, M., Manners, J., Boutle, I., and
Drummond, B.: UM post-processed Mars dataset, Version 1, Zenodo [code and data set], <a href="https://doi.org/10.5281/zenodo.6974260" target="_blank">https://doi.org/10.5281/zenodo.6974260</a>,
2022.
</mixed-citation></ref-html>
<ref-html id="bib1.bib64"><label>Mellon et al.(2008)Mellon, Fergason, and Putzig</label><mixed-citation>
Mellon, M. T., Fergason, R. L., and Putzig, N. E.: The thermal inertia of the
surface of Mars, in: The Martian Surface, Cambridge University
Press, 399–427, <a href="https://doi.org/10.1017/CBO9780511536076.019" target="_blank">https://doi.org/10.1017/CBO9780511536076.019</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib65"><label>Millour et al.(2018)Millour, Forget, Spiga, López-Valverde,
Vals, Zakharov, Montabone, Lefevre, Montmessin, Chaufray,
González-Galindo, Lewis, Read, Desjean, and Cipriani</label><mixed-citation>
Millour, E., Forget, F., Spiga, A., López-Valverde, M. A., Vals, M.,
Zakharov, A. V., Montabone, L., Lefevre, F., Montmessin, F., Chaufray, J. Y.,
González-Galindo, F., Lewis, S. R., Read, P. L., Desjean, M.-C., and
Cipriani, F.: The Mars Climate Database (Version 5.3), in: Scientific
Workshop: From Mars Express to ExoMars, ESAC Madrid, Spain,
<a href="https://www.cosmos.esa.int/documents/1499429/1583871/Millour_E.pdf" target="_blank"/> (last access: 16 January 2023),
2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib66"><label>Montabone and Forget(2017)</label><mixed-citation>
Montabone, L. and Forget, F.: Forecasting Dust Storms on Mars: A Short
Review, in: Dust in the Atmosphere of Mars and Its Impact on Human
Exploration, Abstract 6032, LPI Contribution No. 1966, Lunar and Planetary
Institute, Houston, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib67"><label>Montabone et al.(2006)Montabone, Lewis, Read, and
Withers</label><mixed-citation>
Montabone, L., Lewis, S. R., Read, P. L., and Withers, P.: Reconstructing the
weather on Mars at the time of the MERs and Beagle 2 landings, Geophys.
Res. Lett., 33, L19202, <a href="https://doi.org/10.1029/2006GL026565" target="_blank">https://doi.org/10.1029/2006GL026565</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib68"><label>Montabone et al.(2015)Montabone, Forget, Millour, Wilson, Lewis,
Cantor, Kass, Kleinböhl, Lemmon, Smith, and Wolff</label><mixed-citation>
Montabone, L., Forget, F., Millour, E., Wilson, R. J., Lewis, S. R., Cantor,
B., Kass, D., Kleinböhl, A., Lemmon, M. T., Smith, M. D., and Wolff,
M. J.: Eight-year climatology of dust optical depth on Mars, Icarus, 251,
65–95, <a href="https://doi.org/10.1016/j.icarus.2014.12.034" target="_blank">https://doi.org/10.1016/j.icarus.2014.12.034</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib69"><label>Montabone et al.(2020)Montabone, Spiga, Kass, Kleinböhl,
Forget, and Millour</label><mixed-citation>
Montabone, L., Spiga, A., Kass, D. M., Kleinböhl, A., Forget, F., and
Millour, E.: Martian Year 34 Column Dust Climatology from Mars Climate
Sounder Observations: Reconstructed Maps and Model Simulations, J.
Geophys. Res.-Planet., 125, e2019JE006111, <a href="https://doi.org/10.1029/2019JE006111" target="_blank">https://doi.org/10.1029/2019JE006111</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib70"><label>Mulholland et al.(2013)Mulholland, Read, and Lewis</label><mixed-citation>
Mulholland, D. P., Read, P. L., and Lewis, S. R.: Simulating the interannual
variability of major dust storms on Mars using variable lifting thresholds,
Icarus, 223, 344–358, <a href="https://doi.org/10.1016/j.icarus.2012.12.003" target="_blank">https://doi.org/10.1016/j.icarus.2012.12.003</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib71"><label>Navarro et al.(2014)Navarro, Madeleine, Forget, Spiga, Millour,
Montmessin, and Määttänen</label><mixed-citation>
Navarro, T., Madeleine, J. B., Forget, F., Spiga, A., Millour, E., Montmessin,
F., and Määttänen, A.: Global climate modeling of the
Martian water cycle with improved microphysics and radiatively active water
ice clouds, J. Geophys. Res.-Planet., 119, 1479–1495,
<a href="https://doi.org/10.1002/2013JE004550" target="_blank">https://doi.org/10.1002/2013JE004550</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib72"><label>Nazari-Sharabian et al.(2020)Nazari-Sharabian, Aghababaei,
Karakouzian, and Karami</label><mixed-citation>
Nazari-Sharabian, M., Aghababaei, M., Karakouzian, M., and Karami, M.: Water
on Mars – A Literature Review, Galaxies, 8, 40,
<a href="https://doi.org/10.3390/galaxies8020040" target="_blank">https://doi.org/10.3390/galaxies8020040</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib73"><label>Neakrase et al.(2016)Neakrase, Balme, Esposito, Kelling, Klose, Kok,
Marticorena, Merrison, Patel, and Wurm</label><mixed-citation>
Neakrase, L. D., Balme, M. R., Esposito, F., Kelling, T., Klose, M., Kok,
J. F., Marticorena, B., Merrison, J., Patel, M., and Wurm, G.: Particle
Lifting Processes in Dust Devils, Space Sci. Rev., 203, 347–376,
<a href="https://doi.org/10.1007/s11214-016-0296-6" target="_blank">https://doi.org/10.1007/s11214-016-0296-6</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib74"><label>Neary and Daerden(2018)</label><mixed-citation>
Neary, L. and Daerden, F.: The GEM-Mars general circulation model for Mars:
Description and evaluation, Icarus, 300, 458–476,
<a href="https://doi.org/10.1016/j.icarus.2017.09.028" target="_blank">https://doi.org/10.1016/j.icarus.2017.09.028</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib75"><label>Newman et al.(2002)Newman, Lewis, Read, and Forget</label><mixed-citation>
Newman, C. E., Lewis, S. R., Read, P. L., and Forget, F.: Modeling the Martian
dust cycle 1. Representations of dust transport processes, J.
Geophys. Res.-Planet., 107, 5123, <a href="https://doi.org/10.1029/2002je001910" target="_blank">https://doi.org/10.1029/2002je001910</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib76"><label>Newman et al.(2021)Newman, de la Torre Juárez,
Pla-García, Wilson, Lewis, Neary, Kahre, Forget, Spiga, Richardson,
Daerden, Bertrand, Viúdez-Moreiras, Sullivan, Sánchez-Lavega,
Chide, and Rodriguez-Manfredi</label><mixed-citation>
Newman, C. E., de la Torre Juárez, M., Pla-García, J., Wilson,
R. J., Lewis, S. R., Neary, L., Kahre, M. A., Forget, F., Spiga, A.,
Richardson, M. I., Daerden, F., Bertrand, T., Viúdez-Moreiras, D.,
Sullivan, R., Sánchez-Lavega, A., Chide, B., and Rodriguez-Manfredi,
J. A.: Multi-model Meteorological and Aeolian Predictions for Mars 2020 and
the Jezero Crater Region, Space Sci. Rev., 217, 20,
<a href="https://doi.org/10.1007/s11214-020-00788-2" target="_blank">https://doi.org/10.1007/s11214-020-00788-2</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib77"><label>Newman et al.(2022)Newman, Bertrand, Fenton, Guzewich, Jackson,
Lewis, Mischna, Montabone, and Wellington</label><mixed-citation>
Newman, C. E., Bertrand, T., Fenton, L. K., Guzewich, S. D., Jackson, B.,
Lewis, S. R., Mischna, M. A., Montabone, L., and Wellington, D. F.: Martian
Dust, 2 edn., January, Elsevier Inc.,
<a href="https://doi.org/10.1016/b978-0-12-818234-5.00143-7" target="_blank">https://doi.org/10.1016/b978-0-12-818234-5.00143-7</a>, 2022.
</mixed-citation></ref-html>
<ref-html id="bib1.bib78"><label>Oliver et al.(2019)Oliver, Shin, Matthews, Sanders, Bartholomew,
Clark, Fitzpatrick, Van Haren, Drost, and Hut</label><mixed-citation>
Oliver, H., Shin, M., Matthews, D., Sanders, O., Bartholomew, S., Clark, A.,
Fitzpatrick, B., Van Haren, R., Drost, N., and Hut, R.: Workflow Automation
for Cycling Systems, Comput. Sci. Eng., 21, 7–21,
<a href="https://doi.org/10.1109/MCSE.2019.2906593" target="_blank">https://doi.org/10.1109/MCSE.2019.2906593</a>, 2019 (code available at: <a href="https://cylc.github.io/" target="_blank"/>, last access: 16 January 2023).
</mixed-citation></ref-html>
<ref-html id="bib1.bib79"><label>Paige and Wood(1992)</label><mixed-citation>
Paige, D. A. and Wood, S. E.: Modeling the Martian seasonal CO<sub>2</sub> cycle 2.
Interannual variability, Icarus, 99, 15–27,
<a href="https://doi.org/10.1016/0019-1035(92)90167-6" target="_blank">https://doi.org/10.1016/0019-1035(92)90167-6</a>, 1992.
</mixed-citation></ref-html>
<ref-html id="bib1.bib80"><label>Pál et al.(2019)Pál, Kereszturi, Forget, and
Smith</label><mixed-citation>
Pál, B., Kereszturi, Ã., Forget, F., and Smith, M. D.: Global seasonal
variations of the near-surface relative humidity levels on present-day Mars,
Icarus, 333, 481–495, <a href="https://doi.org/10.1016/j.icarus.2019.07.007" target="_blank">https://doi.org/10.1016/j.icarus.2019.07.007</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib81"><label>Palluconi and Kieffer(1981)</label><mixed-citation>
Palluconi, F. D. and Kieffer, H. H.: Thermal inertia mapping of Mars from
60°&thinsp;S to 60°&thinsp;N, Icarus, 45, 415–426,
<a href="https://doi.org/10.1016/0019-1035(81)90044-0" target="_blank">https://doi.org/10.1016/0019-1035(81)90044-0</a>, 1981.
</mixed-citation></ref-html>
<ref-html id="bib1.bib82"><label>Pollack et al.(1993)Pollack, Haberle, Murphy, Schaeffer, and
Lee</label><mixed-citation>
Pollack, J. B., Haberle, R. M., Murphy, J. R., Schaeffer, J., and Lee, H.:
Simulations of the general circulation of the Martian atmosphere. 2.
Seasonal pressure variations, J. Geophys. Res., 98,
3149–3181, <a href="https://doi.org/10.1029/92JE02947" target="_blank">https://doi.org/10.1029/92JE02947</a>, 1993.
</mixed-citation></ref-html>
<ref-html id="bib1.bib83"><label>Pottier et al.(2017)Pottier, Forget, Montmessin, Navarro, Spiga,
Millour, Szantai, and Madeleine</label><mixed-citation>
Pottier, A., Forget, F., Montmessin, F., Navarro, T., Spiga, A., Millour, E.,
Szantai, A., and Madeleine, J.-B. B.: Unraveling the martian water cycle
with high-resolution global climate simulations, Icarus, 291, 82–106,
<a href="https://doi.org/10.1016/j.icarus.2017.02.016" target="_blank">https://doi.org/10.1016/j.icarus.2017.02.016</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib84"><label>Read et al.(2015)Read, Lewis, and Mulholland</label><mixed-citation>
Read, P. L., Lewis, S. R., and Mulholland, D. P.: The physics of Martian
weather and climate: a review, Rep. Prog. Phys., 78, 125901,
<a href="https://doi.org/10.1088/0034-4885/78/12/125901" target="_blank">https://doi.org/10.1088/0034-4885/78/12/125901</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib85"><label>Richardson and Wilson(2002)</label><mixed-citation>
Richardson, M. I. and Wilson, R. J.: A topographically forced asymmetry in the
martian circulation and climate, Nature, 416, 298–301,
<a href="https://doi.org/10.1038/416298a" target="_blank">https://doi.org/10.1038/416298a</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib86"><label>Schmidt et al.(2009)Schmidt, Douté, Schmitt, Vincendon,
Bibring, and Langevin</label><mixed-citation>
Schmidt, F., Douté, S., Schmitt, B., Vincendon, M., Bibring, J. P., and
Langevin, Y.: Albedo control of seasonal South Polar cap recession on Mars,
Icarus, 200, 374–394, <a href="https://doi.org/10.1016/j.icarus.2008.12.014" target="_blank">https://doi.org/10.1016/j.icarus.2008.12.014</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib87"><label>Sergeev et al.(2020)Sergeev, Lambert, Mayne, Boutle, Manners, and
Kohary</label><mixed-citation>
Sergeev, D. E., Lambert, F. H., Mayne, N. J., Boutle, I. A., Manners, J., and
Kohary, K.: Atmospheric Convection Plays a Key Role in the Climate of
Tidally Locked Terrestrial Exoplanets: Insights from High-resolution
Simulations, Astrophys. J., 894, 84,
<a href="https://doi.org/10.3847/1538-4357/ab8882" target="_blank">https://doi.org/10.3847/1538-4357/ab8882</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib88"><label>Sergeev et al.(2022)Sergeev, Fauchez, Turbet, Boutle, Tsigaridis,
Way, Wolf, Domagal-Goldman, Forget, Haqq-Misra, Kopparapu, Lambert, Manners,
and Mayne</label><mixed-citation>
Sergeev, D. E., Fauchez, T. J., Turbet, M., Boutle, I. A., Tsigaridis, K., Way,
M. J., Wolf, E. T., Domagal-Goldman, S. D., Forget, F., Haqq-Misra, J.,
Kopparapu, R. K., Lambert, F. H., Manners, J., and Mayne, N. J.: The TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI). II. Moist Cases – The Two Waterworlds, Planetary Science Journal, 3, 212,
<a href="https://doi.org/10.3847/PSJ/ac6cf2" target="_blank">https://doi.org/10.3847/PSJ/ac6cf2</a>, 2022.
</mixed-citation></ref-html>
<ref-html id="bib1.bib89"><label>Shaposhnikov et al.(2016)Shaposhnikov, Rodin, and
Medvedev</label><mixed-citation>
Shaposhnikov, D. S., Rodin, A. V., and Medvedev, A. S.: The water cycle in the
general circulation model of the martian atmosphere, Solar System Research,
50, 90–101, <a href="https://doi.org/10.1134/S0038094616020039" target="_blank">https://doi.org/10.1134/S0038094616020039</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib90"><label>Shaposhnikov et al.(2018)Shaposhnikov, Rodin, Medvedev, Fedorova,
Kuroda, and Hartogh</label><mixed-citation>
Shaposhnikov, D. S., Rodin, A. V., Medvedev, A. S., Fedorova, A. A., Kuroda,
T., and Hartogh, P.: Modeling the Hydrological Cycle in the Atmosphere of
Mars: Influence of a Bimodal Size Distribution of Aerosol Nucleation
Particles, J. Geophys. Res.-Planet., 123, 508–526,
<a href="https://doi.org/10.1002/2017JE005384" target="_blank">https://doi.org/10.1002/2017JE005384</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib91"><label>Singh et al.(2018)Singh, Flanner, and Millour</label><mixed-citation>
Singh, D., Flanner, M. G., and Millour, E.: Improvement of Mars Surface Snow
Albedo Modeling in LMD Mars GCM With SNICAR, J. Geophys.
Res.-Planet., 123, 780–791, <a href="https://doi.org/10.1002/2017JE005368" target="_blank">https://doi.org/10.1002/2017JE005368</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib92"><label>Smith et al.(1999)Smith, Zuber, Solomon, Phillips, Head, Garvin,
Banerdt, Muhleman, Pettengill, Neumann, Lemoine, Abshire, Aharonson, Brown,
Hauck, Ivanov, McGovern, Zwally, and Duxbury</label><mixed-citation>
Smith, D. E., Zuber, M. T., Solomon, S. C., Phillips, R. J., Head, J. W.,
Garvin, J. B., Banerdt, W. B., Muhleman, D. O., Pettengill, G. H., Neumann,
G. A., Lemoine, F. G., Abshire, J. B., Aharonson, O., Brown, C. D., Hauck,
S. A., Ivanov, A. B., McGovern, P. J., Zwally, H. J., and Duxbury, T. C.:
The global topography of Mars and implications for surface evolution,
Science, 284, 1495–1503, <a href="https://doi.org/10.1126/science.284.5419.1495" target="_blank">https://doi.org/10.1126/science.284.5419.1495</a>, 1999.
</mixed-citation></ref-html>
<ref-html id="bib1.bib93"><label>Spafford and MacDougall(2021)</label><mixed-citation>
Spafford, L. and MacDougall, A. H.: Validation of terrestrial biogeochemistry in CMIP6 Earth system models: a review, Geosci. Model Dev., 14, 5863–5889, <a href="https://doi.org/10.5194/gmd-14-5863-2021" target="_blank">https://doi.org/10.5194/gmd-14-5863-2021</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib94"><label>Spiga and Forget(2009)</label><mixed-citation>
Spiga, A. and Forget, F.: A new model to simulate the Martian mesoscale and
microscale atmospheric circulation: Validation and first results, J.
Geophys. Res.-Planet., 114, E02009, <a href="https://doi.org/10.1029/2008JE003242" target="_blank">https://doi.org/10.1029/2008JE003242</a>,
2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib95"><label>Spiga et al.(2013)Spiga, Faure, Madeleine,
Määttänen, and Forget</label><mixed-citation>
Spiga, A., Faure, J., Madeleine, J. B., Määttänen, A., and
Forget, F.: Rocket dust storms and detached dust layers in the Martian
atmosphere, J. Geophys. Res.-Planet., 118, 746–767,
<a href="https://doi.org/10.1002/jgre.20046" target="_blank">https://doi.org/10.1002/jgre.20046</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib96"><label>Spiga et al.(2017)Spiga, Hinson, Madeleine, Navarro, Millour, Forget,
and Montmessin</label><mixed-citation>
Spiga, A., Hinson, D. P., Madeleine, J. B., Navarro, T., Millour, E., Forget,
F., and Montmessin, F.: Snow precipitation on Mars driven by cloud-induced
night-time convection, Nat. Geosci., 10, 652–657,
<a href="https://doi.org/10.1038/ngeo3008" target="_blank">https://doi.org/10.1038/ngeo3008</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib97"><label>Staniforth and Wood(2003)</label><mixed-citation>
Staniforth, A. and Wood, N.: The deep-atmosphere Euler equations in a
generalized vertical coordinate, Mon. Weather Rev., 131, 1931–1938,
<a href="https://doi.org/10.1175//2564.1" target="_blank">https://doi.org/10.1175//2564.1</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib98"><label>Staniforth and Wood(2008)</label><mixed-citation>
Staniforth, A. and Wood, N.: Aspects of the dynamical core of a
nonhydrostatic, deep-atmosphere, unified weather and climate-prediction
model, J. Comput. Phys., 227, 3445–3464,
<a href="https://doi.org/10.1016/j.jcp.2006.11.009" target="_blank">https://doi.org/10.1016/j.jcp.2006.11.009</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib99"><label>Steele et al.(2017)Steele, Balme, Lewis, and Spiga</label><mixed-citation>
Steele, L. J., Balme, M. R., Lewis, S. R., and Spiga, A.: The water cycle and
regolith–atmosphere interaction at Gale crater, Mars, Icarus, 289, 56–79,
<a href="https://doi.org/10.1016/j.icarus.2017.02.010" target="_blank">https://doi.org/10.1016/j.icarus.2017.02.010</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib100"><label>Streeter et al.(2020)Streeter, Lewis, Patel, Holmes, and
Kass</label><mixed-citation>
Streeter, P. M., Lewis, S. R., Patel, M. R., Holmes, J. A., and Kass, D. M.:
Surface Warming During the 2018/Mars Year 34 Global Dust Storm, Geophys.
Res. Lett., 47, e2019GL083936, <a href="https://doi.org/10.1029/2019GL083936" target="_blank">https://doi.org/10.1029/2019GL083936</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib101"><label>Sullivan and Kaszynski(2019)</label><mixed-citation>
Sullivan, C. and Kaszynski, A.: PyVista: 3D plotting and mesh analysis through
a streamlined interface for the Visualization Toolkit (VTK), Journal of Open
Source Software, 4, 1450, <a href="https://doi.org/10.21105/joss.01450" target="_blank">https://doi.org/10.21105/joss.01450</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib102"><label>Tillman(1989)</label><mixed-citation>
Tillman, J. E.: VL1/VL2-M-MET-4-DAILY-AVG-PRESSURE-V1.0, NASA [data set],
<a href="https://atmos.nmsu.edu/data_and_services/atmospheres_data/MARS/viking/sol_avg_sur_press_data.html" target="_blank"/> (last access: 16 January 2023),
1989.
</mixed-citation></ref-html>
<ref-html id="bib1.bib103"><label>Turbet et al.(2022)Turbet, Fauchez, Sergeev, Boutle, Tsigaridis, Way,
Wolf, Domagal-Goldman, Forget, Haqq-Misra, Kopparapu, Lambert, Manners,
Mayne, and Sohl</label><mixed-citation>
Turbet, M., Fauchez, T. J., Sergeev, D. E., Boutle, I. A., Tsigaridis, K., Way,
M. J., Wolf, E. T., Domagal-Goldman, S. D., Forget, F., Haqq-Misra, J.,
Kopparapu, R. K., Lambert, F. H., Manners, J., Mayne, N. J., and Sohl, L.:
The TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI). I. Dry Cases – The Fellowship of the GCMs, Planetary Science Journal, 3, 211,
<a href="https://doi.org/10.3847/PSJ/ac6cf0" target="_blank">https://doi.org/10.3847/PSJ/ac6cf0</a>, 2022.
</mixed-citation></ref-html>
<ref-html id="bib1.bib104"><label>Vosper(2015)</label><mixed-citation>
Vosper, S. B.: Mountain waves and wakes generated by South Georgia:
Implications for drag parametrization, Q. J. Roy.
Meteor. Soc., 141, 2813–2827, <a href="https://doi.org/10.1002/qj.2566" target="_blank">https://doi.org/10.1002/qj.2566</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib105"><label>Walters et al.(2019)Walters, Baran, Boutle, Brooks, Earnshaw,
Edwards, Furtado, Hill, Lock, Manners, Morcrette, Mulcahy, Sanchez, Smith,
Stratton, Tennant, Tomassini, Van Weverberg, Vosper, Willett, Browse,
Bushell, Carslaw, Dalvi, Essery, Gedney, Hardiman, Johnson, Johnson, Jones,
Jones, Mann, Milton, Rumbold, Sellar, Ujiie, Whitall, Williams, and
Zerroukat</label><mixed-citation>
Walters, D., Baran, A. J., Boutle, I., Brooks, M., Earnshaw, P., Edwards, J., Furtado, K., Hill, P., Lock, A., Manners, J., Morcrette, C., Mulcahy, J., Sanchez, C., Smith, C., Stratton, R., Tennant, W., Tomassini, L., Van Weverberg, K., Vosper, S., Willett, M., Browse, J., Bushell, A., Carslaw, K., Dalvi, M., Essery, R., Gedney, N., Hardiman, S., Johnson, B., Johnson, C., Jones, A., Jones, C., Mann, G., Milton, S., Rumbold, H., Sellar, A., Ujiie, M., Whitall, M., Williams, K., and Zerroukat, M.: The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations, Geosci. Model Dev., 12, 1909–1963, <a href="https://doi.org/10.5194/gmd-12-1909-2019" target="_blank">https://doi.org/10.5194/gmd-12-1909-2019</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib106"><label>Wang et al.(2018)Wang, Forget, Bertrand, Spiga, Millour, and
Navarro</label><mixed-citation>
Wang, C., Forget, F., Bertrand, T., Spiga, A., Millour, E., and Navarro, T.:
Parameterization of Rocket Dust Storms on Mars in the LMD Martian GCM:
Modeling Details and Validation, J. Geophys. Res.-Planet.,
123, 982–1000, <a href="https://doi.org/10.1002/2017JE005255" target="_blank">https://doi.org/10.1002/2017JE005255</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib107"><label>Wang and Richardson(2015)</label><mixed-citation>
Wang, H. and Richardson, M. I.: The origin, evolution, and trajectory of large
dust storms on Mars during Mars years 24–30 (1999–2011), Icarus, 251,
112–127, <a href="https://doi.org/10.1016/j.icarus.2013.10.033" target="_blank">https://doi.org/10.1016/j.icarus.2013.10.033</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib108"><label>Way et al.(2017)Way, Aleinov, Amundsen, Chandler, Clune, Genio,
Fujii, Kelley, Kiang, Sohl, and Tsigaridis</label><mixed-citation>
Way, M. J., Aleinov, I., Amundsen, D. S., Chandler, M. A., Clune, T. L., Genio,
A. D. D., Fujii, Y., Kelley, M., Kiang, N. Y., Sohl, L., and Tsigaridis, K.:
Resolving Orbital and Climate Keys of Earth and Extraterrestrial
Environments with Dynamics (ROCKE-3D) 1.0: A General Circulation Model for
Simulating the Climates of Rocky Planets, Astrophys. J.
Suppl. S., 231, 12, <a href="https://doi.org/10.3847/1538-4365/aa7a06" target="_blank">https://doi.org/10.3847/1538-4365/aa7a06</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib109"><label>Webster et al.(2003)Webster, Brown, Cameron, and Jones</label><mixed-citation>
Webster, S., Brown, A. R., Cameron, D. R., and Jones, C. P.: Improvements to
the representation of orography in the Met Office Unified Model, Q.
J. Roy. Meteor. Soc., 129, 1989–2010,
<a href="https://doi.org/10.1256/qj.02.133" target="_blank">https://doi.org/10.1256/qj.02.133</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib110"><label>Wilson et al.(2008a)Wilson, Bushell, Kerr-Munslow,
Price, and Morcrette</label><mixed-citation>
Wilson, D. R., Bushell, A. C., Kerr-Munslow, A. M., Price, J. D., and
Morcrette, C. J.: PC2: A prognostic cloud fraction and condensation scheme.
I: Scheme description, Q. J. Roy. Meteor.
Soc., 134, 2093–2107, <a href="https://doi.org/10.1002/qj.333" target="_blank">https://doi.org/10.1002/qj.333</a>, 2008a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib111"><label>Wilson et al.(2008b)Wilson, Bushell, Kerr-Munslow,
Price, Morcrette, and Bodas-Salcedo</label><mixed-citation>
Wilson, D. R., Bushell, A. C., Kerr-Munslow, A. M., Price, J. D., Morcrette,
C. J., and Bodas-Salcedo, A.: PC2: A prognostic cloud fraction and
condensation scheme. II: Climate model simulations, Q. J.
Roy. Meteor. Soc., 134, 2109–2125, <a href="https://doi.org/10.1002/qj.332" target="_blank">https://doi.org/10.1002/qj.332</a>,
2008b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib112"><label>Wolff et al.(2009)Wolff, Smith, Clancy, Arvidson, Kahre, Seelos IV,
Murchie, and Savijärvi</label><mixed-citation>
Wolff, M. J., Smith, M. D., Clancy, R. T., Arvidson, R., Kahre, M., Seelos IV,
F., Murchie, S., and Savijärvi, H.: Wavelength dependence of dust
aerosol single scattering albedo as observed by the Compact Reconnaissance
Imaging Spectrometer, J. Geophys. Res.-Planet., 114,
E00D04, <a href="https://doi.org/10.1029/2009JE003350" target="_blank">https://doi.org/10.1029/2009JE003350</a>, 2009.

</mixed-citation></ref-html>
<ref-html id="bib1.bib113"><label>Wood et al.(2014)Wood, Staniforth, White, Allen, Diamantakis, Gross,
Melvin, Smith, Vosper, Zerroukat, and Thuburn</label><mixed-citation>
Wood, N., Staniforth, A., White, A., Allen, T., Diamantakis, M., Gross, M.,
Melvin, T., Smith, C., Vosper, S., Zerroukat, M., and Thuburn, J.: An
inherently mass-conserving semi-implicit semi-Lagrangian discretization of
the deep-atmosphere global non-hydrostatic equations, Q. J. Roy. Meteor. Soc., 140, 1505–1520, <a href="https://doi.org/10.1002/qj.2235" target="_blank">https://doi.org/10.1002/qj.2235</a>,
2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib114"><label>Woodward(2001)</label><mixed-citation>
Woodward, S.: Modeling the atmospheric life cycle and radiative impact of
mineral dust in the Hadley Centre climate model, J. Geophys.
Res.-Atmos., 106, 18155–18166,
<a href="https://doi.org/10.1029/2000JD900795" target="_blank">https://doi.org/10.1029/2000JD900795</a>, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib115"><label>Woodward(2011)</label><mixed-citation>
Woodward, S.: Mineral Dust in HadGEM 2 Technical Report 87, Tech. Rep. March,
Met Office, Hadley Centre, Met Office, Exeter,
<a href="https://sds-was.aemet.es/forecast-products/dust-forecasts/Woodward_2011_HadGEM2.pdf" target="_blank"/> (last access: 16 January 2023),
2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib116"><label>Woodward et al.(2022)Woodward, Sellar, Tang, Stringer, Yool,
Robertson, and Wiltshire</label><mixed-citation>
Woodward, S., Sellar, A. A., Tang, Y., Stringer, M., Yool, A., Robertson, E., and Wiltshire, A.: The simulation of mineral dust in the United Kingdom Earth System Model UKESM1, Atmos. Chem. Phys., 22, 14503–14528, <a href="https://doi.org/10.5194/acp-22-14503-2022" target="_blank">https://doi.org/10.5194/acp-22-14503-2022</a>, 2022.
</mixed-citation></ref-html>
<ref-html id="bib1.bib117"><label>Zalucha et al.(2010)Zalucha, Alan Plumb, John Wilson, Plumb, and
Wilson</label><mixed-citation>
Zalucha, A. M., Alan Plumb, R., John Wilson, R., Plumb, R. A., and Wilson,
R. J.: An Analysis of the Effect of Topography on the Martian Hadley Cells,
J. Atmos. Sci., 67, 673–693,
<a href="https://doi.org/10.1175/2009JAS3130.1" target="_blank">https://doi.org/10.1175/2009JAS3130.1</a>, 2010.
</mixed-citation></ref-html>--></article>
