Articles | Volume 14, issue 9
https://doi.org/10.5194/gmd-14-5525-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-5525-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
08 Sep 2021
Model description paper |
| 08 Sep 2021
| 08 Sep 2021
Atmosphere–ocean–aerosol–chemistry–climate model SOCOLv4.0: description and evaluation
Timofei Sukhodolov
CORRESPONDING AUTHOR
Physikalisch-Meteorologisches Observatorium Davos and World
Radiation Center, Davos, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich,
Switzerland
St. Petersburg State University, St. Petersburg, Russia
Institute of Meteorology and Climatology, University of Natural
Resources and Life Sciences, Vienna, Austria
Tatiana Egorova
Physikalisch-Meteorologisches Observatorium Davos and World
Radiation Center, Davos, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich,
Switzerland
Andrea Stenke
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich,
Switzerland
William T. Ball
Department of Geoscience and Remote Sensing, Faculty of Civil
Engineering and Geosciences, TU Delft, Delft, the Netherlands
Christina Brodowsky
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich,
Switzerland
Gabriel Chiodo
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich,
Switzerland
Department of Applied Physics and Applied Mathematics, Columbia
University, New York, NY, USA
Aryeh Feinberg
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich,
Switzerland
Institute of Biogeochemistry and Pollutant Dynamics, ETH Zurich,
Zurich, Switzerland
Eawag, Swiss Federal Institute of Aquatic Science and Technology,
Dübendorf, Switzerland
Marina Friedel
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich,
Switzerland
Arseniy Karagodin-Doyennel
Physikalisch-Meteorologisches Observatorium Davos and World
Radiation Center, Davos, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich,
Switzerland
Thomas Peter
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich,
Switzerland
Jan Sedlacek
Physikalisch-Meteorologisches Observatorium Davos and World
Radiation Center, Davos, Switzerland
Sandro Vattioni
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich,
Switzerland
Eugene Rozanov
Physikalisch-Meteorologisches Observatorium Davos and World
Radiation Center, Davos, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich,
Switzerland
St. Petersburg State University, St. Petersburg, Russia
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Short summary
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Short summary
Short summary
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Miriam Sinnhuber, Christina Arras, Stefan Bender, Bernd Funke, Hanli Liu, Daniel R. Marsh, Thomas Reddmann, Eugene Rozanov, Timofei Sukhodolov, Monika E. Szelag, and Jan Maik Wissing
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Formation of nitric oxide NO in the upper atmosphere varies with solar activity. Observations show that it starts a chain of processes in the entire atmosphere affecting the ozone layer and climate system. This is often underestimated in models. We compare five models which show large differences in simulated NO. Analysis of results point out problems related to the oxygen balance, and to the impact of atmospheric waves on dynamics. Both must be modeled well to reproduce the downward coupling.
Sandro Vattioni, Andrea Stenke, Beiping Luo, Gabriel Chiodo, Timofei Sukhodolov, Elia Wunderlin, and Thomas Peter
Geosci. Model Dev., 17, 4181–4197, https://doi.org/10.5194/gmd-17-4181-2024, https://doi.org/10.5194/gmd-17-4181-2024, 2024
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We investigate the sensitivity of aerosol size distributions in the presence of strong SO2 injections for climate interventions or after volcanic eruptions to the call sequence and frequency of the routines for nucleation and condensation in sectional aerosol models with operator splitting. Using the aerosol–chemistry–climate model SOCOL-AERv2, we show that the radiative and chemical outputs are sensitive to these settings at high H2SO4 supersaturations and how to obtain reliable results.
Christina V. Brodowsky, Timofei Sukhodolov, Gabriel Chiodo, Valentina Aquila, Slimane Bekki, Sandip S. Dhomse, Michael Höpfner, Anton Laakso, Graham W. Mann, Ulrike Niemeier, Giovanni Pitari, Ilaria Quaglia, Eugene Rozanov, Anja Schmidt, Takashi Sekiya, Simone Tilmes, Claudia Timmreck, Sandro Vattioni, Daniele Visioni, Pengfei Yu, Yunqian Zhu, and Thomas Peter
Atmos. Chem. Phys., 24, 5513–5548, https://doi.org/10.5194/acp-24-5513-2024, https://doi.org/10.5194/acp-24-5513-2024, 2024
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The aerosol layer is an essential part of the climate system. We characterize the sulfur budget in a volcanically quiescent (background) setting, with a special focus on the sulfate aerosol layer using, for the first time, a multi-model approach. The aim is to identify weak points in the representation of the atmospheric sulfur budget in an intercomparison of nine state-of-the-art coupled global circulation models.
Esther S. Breuninger, Julie Tolu, Iris Thurnherr, Franziska Aemisegger, Aryeh Feinberg, Sylvain Bouchet, Jeroen E. Sonke, Véronique Pont, Heini Wernli, and Lenny H. E. Winkel
Atmos. Chem. Phys., 24, 2491–2510, https://doi.org/10.5194/acp-24-2491-2024, https://doi.org/10.5194/acp-24-2491-2024, 2024
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Atmospheric deposition is an important source of selenium (Se) and other health-relevant trace elements in surface environments. We found that the variability in elemental concentrations in atmospheric deposition reflects not only changes in emission sources but also weather conditions during atmospheric removal. Depending on the sources and if Se is derived more locally or from further away, the Se forms can be different, affecting the bioavailability of Se atmospherically supplied to soils.
Jan Clemens, Bärbel Vogel, Lars Hoffmann, Sabine Griessbach, Nicole Thomas, Suvarna Fadnavis, Rolf Müller, Thomas Peter, and Felix Ploeger
Atmos. Chem. Phys., 24, 763–787, https://doi.org/10.5194/acp-24-763-2024, https://doi.org/10.5194/acp-24-763-2024, 2024
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The source regions of the Asian tropopause aerosol layer (ATAL) are debated. We use balloon-borne measurements of the layer above Nainital (India) in August 2016 and atmospheric transport models to find ATAL source regions. Most air originated from the Tibetan plateau. However, the measured ATAL was stronger when more air originated from the Indo-Gangetic Plain and weaker when more air originated from the Pacific. Hence, the results indicate important anthropogenic contributions to the ATAL.
Rolf Müller, Ulrich Pöschl, Thomas Koop, Thomas Peter, and Ken Carslaw
Atmos. Chem. Phys., 23, 15445–15453, https://doi.org/10.5194/acp-23-15445-2023, https://doi.org/10.5194/acp-23-15445-2023, 2023
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Paul J. Crutzen was a pioneer in atmospheric sciences and a kind-hearted, humorous person with empathy for the private lives of his colleagues and students. He made fundamental scientific contributions to a wide range of scientific topics in all parts of the atmosphere. Paul was among the founders of the journal Atmospheric Chemistry and Physics. His work will continue to be a guide for generations of scientists and environmental policymakers to come.
Yaowei Li, Corey Pedersen, John Dykema, Jean-Paul Vernier, Sandro Vattioni, Amit Kumar Pandit, Andrea Stenke, Elizabeth Asher, Troy Thornberry, Michael A. Todt, Thao Paul Bui, Jonathan Dean-Day, and Frank N. Keutsch
Atmos. Chem. Phys., 23, 15351–15364, https://doi.org/10.5194/acp-23-15351-2023, https://doi.org/10.5194/acp-23-15351-2023, 2023
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In 2021, the eruption of La Soufrière released sulfur dioxide into the stratosphere, resulting in a spread of volcanic aerosol over the Northern Hemisphere. We conducted extensive aircraft and balloon-borne measurements after that, revealing enhanced particle concentration and altered size distribution due to the eruption. The eruption's impact on ozone depletion was minimal, contributing ~0.6 %, and its global radiative forcing effect was modest, mainly affecting tropical and midlatitude areas.
Franziska Zilker, Timofei Sukhodolov, Gabriel Chiodo, Marina Friedel, Tatiana Egorova, Eugene Rozanov, Jan Sedlacek, Svenja Seeber, and Thomas Peter
Atmos. Chem. Phys., 23, 13387–13411, https://doi.org/10.5194/acp-23-13387-2023, https://doi.org/10.5194/acp-23-13387-2023, 2023
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The Montreal Protocol (MP) has successfully reduced the Antarctic ozone hole by banning chlorofluorocarbons (CFCs) that destroy the ozone layer. Moreover, CFCs are strong greenhouse gases (GHGs) that would have strengthened global warming. In this study, we investigate the surface weather and climate in a world without the MP at the end of the 21st century, disentangling ozone-mediated and GHG impacts of CFCs. Overall, we avoided 1.7 K global surface warming and a poleward shift in storm tracks.
Gabriel Chiodo, Marina Friedel, Svenja Seeber, Daniela Domeisen, Andrea Stenke, Timofei Sukhodolov, and Franziska Zilker
Atmos. Chem. Phys., 23, 10451–10472, https://doi.org/10.5194/acp-23-10451-2023, https://doi.org/10.5194/acp-23-10451-2023, 2023
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Stratospheric ozone protects the biosphere from harmful UV radiation. Anthropogenic activity has led to a reduction in the ozone layer in the recent past, but thanks to the implementation of the Montreal Protocol, the ozone layer is projected to recover. In this study, we show that projected future changes in Arctic ozone abundances during springtime will influence stratospheric climate and thereby actively modulate large-scale circulation changes in the Northern Hemisphere.
Marina Friedel, Gabriel Chiodo, Timofei Sukhodolov, James Keeble, Thomas Peter, Svenja Seeber, Andrea Stenke, Hideharu Akiyoshi, Eugene Rozanov, David Plummer, Patrick Jöckel, Guang Zeng, Olaf Morgenstern, and Béatrice Josse
Atmos. Chem. Phys., 23, 10235–10254, https://doi.org/10.5194/acp-23-10235-2023, https://doi.org/10.5194/acp-23-10235-2023, 2023
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Previously, it has been suggested that springtime Arctic ozone depletion might worsen in the coming decades due to climate change, which might counteract the effect of reduced ozone-depleting substances. Here, we show with different chemistry–climate models that springtime Arctic ozone depletion will likely decrease in the future. Further, we explain why models show a large spread in the projected development of Arctic ozone depletion and use the model spread to constrain future projections.
Tatiana Egorova, Jan Sedlacek, Timofei Sukhodolov, Arseniy Karagodin-Doyennel, Franziska Zilker, and Eugene Rozanov
Atmos. Chem. Phys., 23, 5135–5147, https://doi.org/10.5194/acp-23-5135-2023, https://doi.org/10.5194/acp-23-5135-2023, 2023
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This paper describes the climate and atmosphere benefits of the Montreal Protocol, simulated with the state-of-the-art Earth system model SOCOLv4.0. We have added to and confirmed the previous studies by showing that without the Montreal Protocol by the end of the 21st century there would be a dramatic reduction in the ozone layer as well as substantial perturbation of the essential climate variables in the troposphere caused by the warming from increasing ozone-depleting substances.
Daniele Visioni, Ben Kravitz, Alan Robock, Simone Tilmes, Jim Haywood, Olivier Boucher, Mark Lawrence, Peter Irvine, Ulrike Niemeier, Lili Xia, Gabriel Chiodo, Chris Lennard, Shingo Watanabe, John C. Moore, and Helene Muri
Atmos. Chem. Phys., 23, 5149–5176, https://doi.org/10.5194/acp-23-5149-2023, https://doi.org/10.5194/acp-23-5149-2023, 2023
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Geoengineering indicates methods aiming to reduce the temperature of the planet by means of reflecting back a part of the incoming radiation before it reaches the surface or allowing more of the planetary radiation to escape into space. It aims to produce modelling experiments that are easy to reproduce and compare with different climate models, in order to understand the potential impacts of these techniques. Here we assess its past successes and failures and talk about its future.
Anand Kumar, Kristian Klumpp, Chen Barak, Giora Rytwo, Michael Plötze, Thomas Peter, and Claudia Marcolli
Atmos. Chem. Phys., 23, 4881–4902, https://doi.org/10.5194/acp-23-4881-2023, https://doi.org/10.5194/acp-23-4881-2023, 2023
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Smectites are a major class of clay minerals that are ice nucleation (IN) active. They form platelets that swell or even delaminate in water by intercalation of water between their layers. We hypothesize that at least three smectite layers need to be stacked together to host a critical ice embryo on clay mineral edges and that the larger the surface edge area is, the higher the freezing temperature. Edge sites on such clay particles play a crucial role in imparting IN ability to such particles.
Arseniy Karagodin-Doyennel, Eugene Rozanov, Timofei Sukhodolov, Tatiana Egorova, Jan Sedlacek, and Thomas Peter
Atmos. Chem. Phys., 23, 4801–4817, https://doi.org/10.5194/acp-23-4801-2023, https://doi.org/10.5194/acp-23-4801-2023, 2023
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The future ozone evolution in SOCOLv4 simulations under SSP2-4.5 and SSP5-8.5 scenarios has been assessed for the period 2015–2099 and subperiods using the DLM approach. The SOCOLv4 projects a decline in tropospheric ozone in the 2030s in SSP2-4.5 and in the 2060s in SSP5-8.5. The stratospheric ozone increase is ~3 times higher in SSP5-8.5, confirming the important role of GHGs in ozone evolution. We also showed that tropospheric ozone strongly impacts the total column in the tropics.
Thomas Berkemeier, Matteo Krüger, Aryeh Feinberg, Marcel Müller, Ulrich Pöschl, and Ulrich K. Krieger
Geosci. Model Dev., 16, 2037–2054, https://doi.org/10.5194/gmd-16-2037-2023, https://doi.org/10.5194/gmd-16-2037-2023, 2023
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Kinetic multi-layer models (KMs) successfully describe heterogeneous and multiphase atmospheric chemistry. In applications requiring repeated execution, however, these models can be too expensive. We trained machine learning surrogate models on output of the model KM-SUB and achieved high correlations. The surrogate models run orders of magnitude faster, which suggests potential applicability in global optimization tasks and as sub-modules in large-scale atmospheric models.
Andrey V. Koval, Olga N. Toptunova, Maxim A. Motsakov, Ksenia A. Didenko, Tatiana S. Ermakova, Nikolai M. Gavrilov, and Eugene V. Rozanov
Atmos. Chem. Phys., 23, 4105–4114, https://doi.org/10.5194/acp-23-4105-2023, https://doi.org/10.5194/acp-23-4105-2023, 2023
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Periodic changes in all hydrodynamic parameters are constantly observed in the atmosphere. The amplitude of these fluctuations increases with height due to a decrease in the atmospheric density. In the upper layers of the atmosphere, waves are the dominant form of motion. We use a model of the general circulation of the atmosphere to study the contribution to the formation of the dynamic and temperature regimes of the middle and upper atmosphere made by different global-scale atmospheric waves.
Kristian Klumpp, Claudia Marcolli, Ana Alonso-Hellweg, Christopher H. Dreimol, and Thomas Peter
Atmos. Chem. Phys., 23, 1579–1598, https://doi.org/10.5194/acp-23-1579-2023, https://doi.org/10.5194/acp-23-1579-2023, 2023
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The prerequisites of a particle surface for efficient ice nucleation are still poorly understood. This study compares the ice nucleation activity of two chemically identical but morphologically different minerals (kaolinite and halloysite). We observe, on average, not only higher ice nucleation activities for halloysite than kaolinite but also higher diversity between individual samples. We identify the particle edges as being the most likely site for ice nucleation.
Ilaria Quaglia, Claudia Timmreck, Ulrike Niemeier, Daniele Visioni, Giovanni Pitari, Christina Brodowsky, Christoph Brühl, Sandip S. Dhomse, Henning Franke, Anton Laakso, Graham W. Mann, Eugene Rozanov, and Timofei Sukhodolov
Atmos. Chem. Phys., 23, 921–948, https://doi.org/10.5194/acp-23-921-2023, https://doi.org/10.5194/acp-23-921-2023, 2023
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The last very large explosive volcanic eruption we have measurements for is the eruption of Mt. Pinatubo in 1991. It is therefore often used as a benchmark for climate models' ability to reproduce these kinds of events. Here, we compare available measurements with the results from multiple experiments conducted with climate models interactively simulating the aerosol cloud formation.
Arseniy Karagodin-Doyennel, Eugene Rozanov, Timofei Sukhodolov, Tatiana Egorova, Jan Sedlacek, William Ball, and Thomas Peter
Atmos. Chem. Phys., 22, 15333–15350, https://doi.org/10.5194/acp-22-15333-2022, https://doi.org/10.5194/acp-22-15333-2022, 2022
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Applying the dynamic linear model, we confirm near-global ozone recovery (55°N–55°S) in the mesosphere, upper and middle stratosphere, and a steady increase in the troposphere. We also show that modern chemistry–climate models (CCMs) like SOCOLv4 may reproduce the observed trend distribution of lower stratospheric ozone, despite exhibiting a lower magnitude and statistical significance. The obtained ozone trend pattern in SOCOLv4 is generally consistent with observations and reanalysis datasets.
Nikou Hamzehpour, Claudia Marcolli, Sara Pashai, Kristian Klumpp, and Thomas Peter
Atmos. Chem. Phys., 22, 14905–14930, https://doi.org/10.5194/acp-22-14905-2022, https://doi.org/10.5194/acp-22-14905-2022, 2022
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Playa surfaces in Iran that emerged through Lake Urmia (LU) desiccation have become a relevant dust source of regional relevance. Here, we identify highly erodible LU playa surfaces and determine their physicochemical properties and mineralogical composition and perform emulsion-freezing experiments with them. We find high ice nucleation activities (up to 250 K) that correlate positively with organic matter and clay content and negatively with pH, salinity, K-feldspars, and quartz.
Nikou Hamzehpour, Claudia Marcolli, Kristian Klumpp, Debora Thöny, and Thomas Peter
Atmos. Chem. Phys., 22, 14931–14956, https://doi.org/10.5194/acp-22-14931-2022, https://doi.org/10.5194/acp-22-14931-2022, 2022
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Dust aerosols from dried lakebeds contain mineral particles, as well as soluble salts and (bio-)organic compounds. Here, we investigate ice nucleation (IN) activity of dust samples from Lake Urmia playa, Iran. We find high IN activity of the untreated samples that decreases after organic matter removal but increases after removing soluble salts and carbonates, evidencing inhibiting effects of soluble salts and carbonates on the IN activity of organic matter and minerals, especially microcline.
Marina Friedel, Gabriel Chiodo, Andrea Stenke, Daniela I. V. Domeisen, and Thomas Peter
Atmos. Chem. Phys., 22, 13997–14017, https://doi.org/10.5194/acp-22-13997-2022, https://doi.org/10.5194/acp-22-13997-2022, 2022
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In spring, winds the Arctic stratosphere change direction – an event called final stratospheric warming (FSW). Here, we examine whether the interannual variability in Arctic stratospheric ozone impacts the timing of the FSW. We find that Arctic ozone shifts the FSW to earlier and later dates in years with high and low ozone via the absorption of UV light. The modulation of the FSW by ozone has consequences for surface climate in ozone-rich years, which may result in better seasonal predictions.
Nora Bergner, Marina Friedel, Daniela I. V. Domeisen, Darryn Waugh, and Gabriel Chiodo
Atmos. Chem. Phys., 22, 13915–13934, https://doi.org/10.5194/acp-22-13915-2022, https://doi.org/10.5194/acp-22-13915-2022, 2022
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Polar vortex extremes, particularly situations with an unusually weak cyclonic circulation in the stratosphere, can influence the surface climate in the spring–summer time in the Southern Hemisphere. Using chemistry-climate models and observations, we evaluate the robustness of the surface impacts. While models capture the general surface response, they do not show the observed climate patterns in midlatitude regions, which we trace back to biases in the models' circulations.
Clare E. Singer, Benjamin W. Clouser, Sergey M. Khaykin, Martina Krämer, Francesco Cairo, Thomas Peter, Alexey Lykov, Christian Rolf, Nicole Spelten, Armin Afchine, Simone Brunamonti, and Elisabeth J. Moyer
Atmos. Meas. Tech., 15, 4767–4783, https://doi.org/10.5194/amt-15-4767-2022, https://doi.org/10.5194/amt-15-4767-2022, 2022
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In situ measurements of water vapor in the upper troposphere are necessary to study cloud formation and hydration of the stratosphere but challenging due to cold–dry conditions. We compare measurements from three water vapor instruments from the StratoClim campaign in 2017. In clear sky (clouds), point-by-point differences were <1.5±8 % (<1±8 %). This excellent agreement allows detection of fine-scale structures required to understand the impact of convection on stratospheric water vapor.
Irina Mironova, Miriam Sinnhuber, Galina Bazilevskaya, Mark Clilverd, Bernd Funke, Vladimir Makhmutov, Eugene Rozanov, Michelle L. Santee, Timofei Sukhodolov, and Thomas Ulich
Atmos. Chem. Phys., 22, 6703–6716, https://doi.org/10.5194/acp-22-6703-2022, https://doi.org/10.5194/acp-22-6703-2022, 2022
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From balloon measurements, we detected unprecedented, extremely powerful, electron precipitation over the middle latitudes. The robustness of this event is confirmed by satellite observations of electron fluxes and chemical composition, as well as by ground-based observations of the radio signal propagation. The applied chemistry–climate model shows the almost complete destruction of ozone in the mesosphere over the region where high-energy electrons were observed.
Kristian Klumpp, Claudia Marcolli, and Thomas Peter
Atmos. Chem. Phys., 22, 3655–3673, https://doi.org/10.5194/acp-22-3655-2022, https://doi.org/10.5194/acp-22-3655-2022, 2022
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Surface interactions with solutes can significantly alter the ice nucleation activity of mineral dust. Past studies revealed the sensitivity of microcline, one of the most ice-active types of dust in the atmosphere, to inorganic solutes. This study focuses on the interaction of microcline with bio-organic substances and the resulting effects on its ice nucleation activity. We observe strongly hampered ice nucleation activity due to the presence of carboxylic and amino acids but not for polyols.
Debra K. Weisenstein, Daniele Visioni, Henning Franke, Ulrike Niemeier, Sandro Vattioni, Gabriel Chiodo, Thomas Peter, and David W. Keith
Atmos. Chem. Phys., 22, 2955–2973, https://doi.org/10.5194/acp-22-2955-2022, https://doi.org/10.5194/acp-22-2955-2022, 2022
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This paper explores a potential method of geoengineering that could be used to slow the rate of change of climate over decadal scales. We use three climate models to explore how injections of accumulation-mode sulfuric acid aerosol change the large-scale stratospheric particle size distribution and radiative forcing response for the chosen scenarios. Radiative forcing per unit sulfur injected and relative to the change in aerosol burden is larger with particulate than with SO2 injections.
Kseniia Golubenko, Eugene Rozanov, Gennady Kovaltsov, Ari-Pekka Leppänen, Timofei Sukhodolov, and Ilya Usoskin
Geosci. Model Dev., 14, 7605–7620, https://doi.org/10.5194/gmd-14-7605-2021, https://doi.org/10.5194/gmd-14-7605-2021, 2021
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A new full 3-D time-dependent model, based on SOCOL-AERv2, of beryllium atmospheric production, transport, and deposition has been developed and validated using directly measured data. The model is recommended to be used in studies related to, e.g., atmospheric dynamical patterns, extreme solar particle storms, long-term solar activity reconstruction from cosmogenic proxy data, and solar–terrestrial relations.
Arseniy Karagodin-Doyennel, Eugene Rozanov, Timofei Sukhodolov, Tatiana Egorova, Alfonso Saiz-Lopez, Carlos A. Cuevas, Rafael P. Fernandez, Tomás Sherwen, Rainer Volkamer, Theodore K. Koenig, Tanguy Giroud, and Thomas Peter
Geosci. Model Dev., 14, 6623–6645, https://doi.org/10.5194/gmd-14-6623-2021, https://doi.org/10.5194/gmd-14-6623-2021, 2021
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Here, we present the iodine chemistry module in the SOCOL-AERv2 model. The obtained iodine distribution demonstrated a good agreement when validated against other simulations and available observations. We also estimated the iodine influence on ozone in the case of present-day iodine emissions, the sensitivity of ozone to doubled iodine emissions, and when considering only organic or inorganic iodine sources. The new model can be used as a tool for further studies of iodine effects on ozone.
Zheng Wu, Bernat Jiménez-Esteve, Raphaël de Fondeville, Enikő Székely, Guillaume Obozinski, William T. Ball, and Daniela I. V. Domeisen
Weather Clim. Dynam., 2, 841–865, https://doi.org/10.5194/wcd-2-841-2021, https://doi.org/10.5194/wcd-2-841-2021, 2021
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We use an advanced statistical approach to investigate the dynamics of the development of sudden stratospheric warming (SSW) events in the winter Northern Hemisphere. We identify distinct signals that are representative of these events and their event type at lead times beyond currently predictable lead times. The results can be viewed as a promising step towards improving the predictability of SSWs in the future by using more advanced statistical methods in operational forecasting systems.
Simone Dietmüller, Hella Garny, Roland Eichinger, and William T. Ball
Atmos. Chem. Phys., 21, 6811–6837, https://doi.org/10.5194/acp-21-6811-2021, https://doi.org/10.5194/acp-21-6811-2021, 2021
James Keeble, Birgit Hassler, Antara Banerjee, Ramiro Checa-Garcia, Gabriel Chiodo, Sean Davis, Veronika Eyring, Paul T. Griffiths, Olaf Morgenstern, Peer Nowack, Guang Zeng, Jiankai Zhang, Greg Bodeker, Susannah Burrows, Philip Cameron-Smith, David Cugnet, Christopher Danek, Makoto Deushi, Larry W. Horowitz, Anne Kubin, Lijuan Li, Gerrit Lohmann, Martine Michou, Michael J. Mills, Pierre Nabat, Dirk Olivié, Sungsu Park, Øyvind Seland, Jens Stoll, Karl-Hermann Wieners, and Tongwen Wu
Atmos. Chem. Phys., 21, 5015–5061, https://doi.org/10.5194/acp-21-5015-2021, https://doi.org/10.5194/acp-21-5015-2021, 2021
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Stratospheric ozone and water vapour are key components of the Earth system; changes to both have important impacts on global and regional climate. We evaluate changes to these species from 1850 to 2100 in the new generation of CMIP6 models. There is good agreement between the multi-model mean and observations, although there is substantial variation between the individual models. The future evolution of both ozone and water vapour is strongly dependent on the assumed future emissions scenario.
Margot Clyne, Jean-Francois Lamarque, Michael J. Mills, Myriam Khodri, William Ball, Slimane Bekki, Sandip S. Dhomse, Nicolas Lebas, Graham Mann, Lauren Marshall, Ulrike Niemeier, Virginie Poulain, Alan Robock, Eugene Rozanov, Anja Schmidt, Andrea Stenke, Timofei Sukhodolov, Claudia Timmreck, Matthew Toohey, Fiona Tummon, Davide Zanchettin, Yunqian Zhu, and Owen B. Toon
Atmos. Chem. Phys., 21, 3317–3343, https://doi.org/10.5194/acp-21-3317-2021, https://doi.org/10.5194/acp-21-3317-2021, 2021
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This study finds how and why five state-of-the-art global climate models with interactive stratospheric aerosols differ when simulating the aftermath of large volcanic injections as part of the Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP). We identify and explain the consequences of significant disparities in the underlying physics and chemistry currently in some of the models, which are problems likely not unique to the models participating in this study.
Manuel Graf, Philipp Scheidegger, André Kupferschmid, Herbert Looser, Thomas Peter, Ruud Dirksen, Lukas Emmenegger, and Béla Tuzson
Atmos. Meas. Tech., 14, 1365–1378, https://doi.org/10.5194/amt-14-1365-2021, https://doi.org/10.5194/amt-14-1365-2021, 2021
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Water vapor is the most important natural greenhouse gas. The accurate and frequent measurement of its abundance, especially in the upper troposphere and lower stratosphere (UTLS), is technically challenging. We developed and characterized a mid-IR absorption spectrometer for highly accurate water vapor measurements in the UTLS. The instrument is sufficiently small and lightweight (3.9 kg) to be carried by meteorological balloons, which enables frequent and cost-effective soundings.
Michael Steiner, Beiping Luo, Thomas Peter, Michael C. Pitts, and Andrea Stenke
Geosci. Model Dev., 14, 935–959, https://doi.org/10.5194/gmd-14-935-2021, https://doi.org/10.5194/gmd-14-935-2021, 2021
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We evaluate polar stratospheric clouds (PSCs) as simulated by the chemistry–climate model (CCM) SOCOLv3.1 in comparison with measurements by the CALIPSO satellite. A cold bias results in an overestimated PSC area and mountain-wave ice is underestimated, but we find overall good temporal and spatial agreement of PSC occurrence and composition. This work confirms previous studies indicating that simplified PSC schemes may also achieve good approximations of the fundamental properties of PSCs.
Teresa Jorge, Simone Brunamonti, Yann Poltera, Frank G. Wienhold, Bei P. Luo, Peter Oelsner, Sreeharsha Hanumanthu, Bhupendra B. Singh, Susanne Körner, Ruud Dirksen, Manish Naja, Suvarna Fadnavis, and Thomas Peter
Atmos. Meas. Tech., 14, 239–268, https://doi.org/10.5194/amt-14-239-2021, https://doi.org/10.5194/amt-14-239-2021, 2021
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Balloon-borne frost point hygrometers are crucial for the monitoring of water vapour in the upper troposphere and lower stratosphere. We found that when traversing a mixed-phase cloud with big supercooled droplets, the intake tube of the instrument collects on its inner surface a high percentage of these droplets. The newly formed ice layer will sublimate at higher levels and contaminate the measurement. The balloon is also a source of contamination, but only at higher levels during the ascent.
Jing Dou, Peter A. Alpert, Pablo Corral Arroyo, Beiping Luo, Frederic Schneider, Jacinta Xto, Thomas Huthwelker, Camelia N. Borca, Katja D. Henzler, Jörg Raabe, Benjamin Watts, Hartmut Herrmann, Thomas Peter, Markus Ammann, and Ulrich K. Krieger
Atmos. Chem. Phys., 21, 315–338, https://doi.org/10.5194/acp-21-315-2021, https://doi.org/10.5194/acp-21-315-2021, 2021
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Photochemistry of iron(III) complexes plays an important role in aerosol aging, especially in the lower troposphere. Ensuing radical chemistry leads to decarboxylation, and the production of peroxides, and oxygenated volatile compounds, resulting in particle mass loss due to release of the volatile products to the gas phase. We investigated kinetic transport limitations due to high particle viscosity under low relative humidity conditions. For quantification a numerical model was developed.
Arseniy Karagodin-Doyennel, Eugene Rozanov, Ales Kuchar, William Ball, Pavle Arsenovic, Ellis Remsberg, Patrick Jöckel, Markus Kunze, David A. Plummer, Andrea Stenke, Daniel Marsh, Doug Kinnison, and Thomas Peter
Atmos. Chem. Phys., 21, 201–216, https://doi.org/10.5194/acp-21-201-2021, https://doi.org/10.5194/acp-21-201-2021, 2021
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The solar signal in the mesospheric H2O and CO was extracted from the CCMI-1 model simulations and satellite observations using multiple linear regression (MLR) analysis. MLR analysis shows a pronounced and statistically robust solar signal in both H2O and CO. The model results show a general agreement with observations reproducing a negative/positive solar signal in H2O/CO. The pattern of the solar signal varies among the considered models, reflecting some differences in the model setup.
Sreeharsha Hanumanthu, Bärbel Vogel, Rolf Müller, Simone Brunamonti, Suvarna Fadnavis, Dan Li, Peter Ölsner, Manish Naja, Bhupendra Bahadur Singh, Kunchala Ravi Kumar, Sunil Sonbawne, Hannu Jauhiainen, Holger Vömel, Beiping Luo, Teresa Jorge, Frank G. Wienhold, Ruud Dirkson, and Thomas Peter
Atmos. Chem. Phys., 20, 14273–14302, https://doi.org/10.5194/acp-20-14273-2020, https://doi.org/10.5194/acp-20-14273-2020, 2020
Short summary
Short summary
During boreal summer, anthropogenic sources yield the Asian Tropopause Aerosol Layer (ATAL), found in Asia between about 13 and 18 km altitude. Balloon-borne measurements of the ATAL conducted in northern India in 2016 show the strong variability of the ATAL. To explain its observed variability, model simulations are performed to deduce the origin of air masses on the Earth's surface, which is important to develop recommendations for regulations of anthropogenic surface emissions of the ATAL.
Jessica Oehrlein, Gabriel Chiodo, and Lorenzo M. Polvani
Atmos. Chem. Phys., 20, 10531–10544, https://doi.org/10.5194/acp-20-10531-2020, https://doi.org/10.5194/acp-20-10531-2020, 2020
Short summary
Short summary
Winter winds in the stratosphere 10–50 km above the surface impact climate at the surface. Prior studies suggest that this interaction between the stratosphere and the surface is affected by ozone. We compare two ways of including ozone in computer simulations of climate. One method is more realistic but more expensive. We find that the method of including ozone in simulations affects the surface climate when the stratospheric winds are unusually weak but not when they are unusually strong.
Cited articles
Alsing, J. and Ball, W.: BASIC Composite Ozone Time-Series Data, V3, Mendeley
Data [data set], https://doi.org/10.17632/2mgx2xzzpk.3, 2019.
Andres, R. J. and Kasgnoc, A.D.: A time-averaged inventory of subaerial
volcanic sulfur emissions, J. Geophys. Res., 103, 25251–25261,
https://doi.org/10.1029/98JD02091, 1998.
Arsenovic, P., Rozanov, E., Anet, J., Stenke, A., Schmutz, W., and Peter, T.: Implications of potential future grand solar minimum for ozone layer and climate, Atmos. Chem. Phys., 18, 3469–3483, https://doi.org/10.5194/acp-18-3469-2018, 2018.
Ayers, G. P., Gillett, R. W., and Gras, J. L.: On the vapor pressure of
sulfuric acid, Geophys. Res. Lett., 7, 433–436,
https://doi.org/10.1029/GL007i006p00433, 1980.
Bacmeister, J. T., Phillips, A. S., Neale, R. B., Simpson, I. R., DuVivier,
A. K., Hodzic, A., and Randel, W. J.: The whole atmosphere community climate
model version 6 (WACCM6), J. Geophys. Res.-Atmos., 124, 12380–12403,
https://doi.org/10.1029/2019JD030943, 2019.
Baran, A. J. and Foot, J. S.: New application of the operational sounder
HIRS in determining a climatology of sulphuric acid aerosol from the
Pinatubo eruption, J. Geophys. Res.-Atmos., 99, 25673–25679,
https://doi.org/10.1029/94JD02044, 1994.
Ball, W. T., Alsing, J., Mortlock, D. J., Staehelin, J., Haigh, J. D., Peter, T., Tummon, F., Stübi, R., Stenke, A., Anderson, J., Bourassa, A., Davis, S. M., Degenstein, D., Frith, S., Froidevaux, L., Roth, C., Sofieva, V., Wang, R., Wild, J., Yu, P., Ziemke, J. R., and Rozanov, E. V.: Evidence for a continuous decline in lower stratospheric ozone offsetting ozone layer recovery, Atmos. Chem. Phys., 18, 1379–1394, https://doi.org/10.5194/acp-18-1379-2018, 2018.
Ball, W. T., Alsing, J., Staehelin, J., Davis, S. M., Froidevaux, L., and Peter, T.: Stratospheric ozone trends for 1985–2018: sensitivity to recent large variability, Atmos. Chem. Phys., 19, 12731–12748, https://doi.org/10.5194/acp-19-12731-2019, 2019.
Ball, W. T., Chiodo, G., Abalos, M., Alsing, J., and Stenke, A.: Inconsistencies between chemistry–climate models and observed lower stratospheric ozone trends since 1998, Atmos. Chem. Phys., 20, 9737–9752, https://doi.org/10.5194/acp-20-9737-2020, 2020.
Bernath, P. F, McElroy, C. T., Abrams, M. C., Boone, C. D.,, Butler, M.,
Camy-Peyret, C., Carleer, M., Clerbaux, C., Coheur, P.-F., Colin, R.,
DeCola, P., DeMazière, M., Drummond, J. R., Dufour, D., Evans, W. F. J.,
Fast, H., Fussen, D., Gilbert, K., Jennings, D. E., Llewellyn, E. J., Lowe,
R. P., Mahieu, E., McConnell, J. C., McHugh, M., McLeod, S. D., Michaud, R.,
Midwinter, C., Nassar, R., Nichitiu, F., Nowlan, C., Rinsland, C. P.,
Rochon, Y. J., Rowlands, N., Semeniuk, K., Simon, P., Skelton, R., Sloan, J.
J., Soucy, M.-A., Strong, K., Tremblay, P., Turnbull, D. Walker, K. A.,
Walkty, I., Wardle, D. A., Wehrle, V., Zander, R., and Zou, J.: Atmospheric
Chemistry Experiment (ACE): Mission overview, Geophys. Res. Lett., 32,
L15S01, https://doi.org/10.1029/2005GL022386, 2005.
Biermann, U. M., Luo, B. P., and Peter, T.: Absorption spectra and optical
constants of binary and ternary solutions of H2SO4, HNO3, and H2O in the mid
infrared at atmospheric temperatures, J. Phys. Chem. A, 104, 783– 793,
https://doi.org/10.1021/jp992349i, 2000.
Bock, L., Lauer, A., Schlund, M.,Barreiro, M., Bellouin, N., Jones, C.,
Meehl, G. A., Predoi, V., Roberts, M. J., and Eyring, V.: Quantifying progress
across different CMIP phases with the ESMValTool, J. Geophys. Res.-Atmos., 125, e2019JD032321, https://doi.org/10.1029/2019JD032321, 2020.
Brinkop, S. and Roeckner, E.: Sensitivity of a general circulation model to
parameterizations of cloud–turbulence interactions in the atmospheric
boundary layer, Tellus A, 47, 197–220,
https://doi.org/10.1034/j.1600-0870.1995.t01-1-00004.x, 1995.
Brovkin, V. Boysen, L. Raddatz, T. Gayler, V. Loew, A., and Claussen, M.:
Evaluation of vegetation cover and land-surface albedo in MPI-ESM CMIP5
simulations, J. Adv. Model. Earth Syst., 5, 48– 57,
https://doi.org/10.1029/2012MS000169, 2013.
Brönnimann, S., Jacques-Coper, M., Rozanov, E., Fischer, A.M.,
Morgenstern, O., Zeng, G., Akiyoshi, H., and Yamashita, Y.: Tropical
circulation and precipitation response to ozone depletion and recovery,
Environ. Res. Lett., 6, 064011, https://doi.org/10.1088/1748-9326/aa7416,
2017.
Bulgin, C. E., Merchant, C. J., and Ferreira, D.: Tendencies, variability and
persistence of sea surface temperature anomalies, Sci. Rep., 10, 7986,
https://doi.org/10.1038/s41598-020-64785-9, 2020.
Burkholder, J. B., Sander, S. P., Abbatt, J., Barker, J. R., Huie, R. E.,
Kolb, C. E., Kurylo, M. J., Orkin, V. L., Wilmouth, D. M., and Wine, P. H.:
Chemical kinetics and photochemical data for use in atmospheric studies,
Evaluation No. 18, JPL Publication 15-10, Jet Propul. Lab., Pasadena, California, available at: https://jpldataeval.jpl.nasa.gov (last access: 2 September 2021), 2015.
Butchart, N.: The Brewer-Dobson circulation, Rev. Geophys.,52, 157–184,
https://doi.org/10.1002/2013RG000448, 2014.
Engel, A., Rigby, M, Burkholder, J. B., Fernandez, R. P., Froidevaux, L.,
Hall, B. D., Hossaini, R., Saito, T., Vollmer, M. K., and Yao, B.: Update on
Ozone-Depleting Substances (ODSs) and other gases of interest to the
Montreal Protocol, Chapter 1 in Scientific Assessment of Ozone Depletion:
2018, Global Ozone Research and Monitoring, Project–Report No. 58, World
Meteorological Organization, Geneva, Switzerland, 2018.
Cariolle, D. and Teyssèdre, H.: A revised linear ozone photochemistry parameterization for use in transport and general circulation models: multi-annual simulations, Atmos. Chem. Phys., 7, 2183–2196, https://doi.org/10.5194/acp-7-2183-2007, 2007.
Carn, S., Clarisse, L., and Prata, A.: Multi-decadal satellite measurements of
global volcanic degassing, J. Volcanol. Geotherm. Res., 311, 99–134,
https://doi.org/10.1016/j.jvolgeores.2016.01.002, 2016.
Carslaw, K. S., Luo, B. P., and Peter, T.: An analytic-expression for the
composition of aqueous HNO3–H2SO4 stratospheric aerosols including
gas-phase removal of HNO3, Geophys. Res. Lett., 22, 1877–1880, 1995.
Checa-Garcia, R.: CMIP6 Ozone forcing dataset: supporting information,
Zenodo, https://doi.org/10.5281/zenodo.1135127, 2018.
Chiodo, G., Polvani, L. M., Marsh, D. R., Ball, W., Muthers, S., Stenke, A.,
Rozanov, E., and Tsigaridis, K.: The ozone response to quadrupled CO2
concentrations, J. Climate, 31, 3893–3907,
https://doi.org/10.1175/JCLI-D-17-0492.1, 2018.
Chipperfield, M. P., Dhomse, S. S., Feng, W., McKenzie, R. L., Velders,
G. J. M., and Pyle, J. A.: Quantifying the ozone and ultraviolet benefits
already achieved by the Montreal Protocol, Nat. Commun., 6, 7233,
https://doi.org/10.1038/ncomms8233, 2015.
Chipperfield, M., Bekki, S., Dhomse, S., Harris, N. R. P., Hassler, B.,
Hossaini, R., Steinbrecht, W., Thiéblemont, R., and Weber M.: Detecting
recovery of the stratospheric ozone layer, Nature, 549, 211–218,
https://doi.org/10.1038/nature23681, 2017.
Chipperfield, M. P., Dhomse, S., Hossaini, R., Feng, W., Santee, M. L.,
Weber, M., Burrows, J. P., Wild, J. D., Loyola, D., and Coldewey-Egbers, M.: On
the cause of recent variations in lower stratospheric ozone, Geophys.
Res. Lett., 45, 5718–5726, https://doi.org/10.1029/2018GL078071,
2018.
Cowtan, K., Hausfather, Z., Hawkins, E., Jacobs, P., Mann, M. E., Miller, S.
K., Steinman, B. A., Stolpe, M. B., and Way, R. G.: Robust comparison of
climate models with observations using blended land air and ocean sea
surface temperatures, Geophys. Res. Lett., 42, 6526–6534,
https://doi.org/10.1002/2015GL064888, 2015.
Craig, A., Valcke, S., and Coquart, L.: Development and performance of a new version of the OASIS coupler, OASIS3-MCT_3.0, Geosci. Model Dev., 10, 3297–3308, https://doi.org/10.5194/gmd-10-3297-2017, 2017.
Dentener, F., Kinne, S., Bond, T., Boucher, O., Cofala, J., Generoso, S., Ginoux, P., Gong, S., Hoelzemann, J. J., Ito, A., Marelli, L., Penner, J. E., Putaud, J.-P., Textor, C., Schulz, M., van der Werf, G. R., and Wilson, J.: Emissions of primary aerosol and precursor gases in the years 2000 and 1750 prescribed data-sets for AeroCom, Atmos. Chem. Phys., 6, 4321–4344, https://doi.org/10.5194/acp-6-4321-2006, 2006.
Dhomse, S. S., Mann, G. W., Antuña Marrero, J. C., Shallcross, S. E., Chipperfield, M. P., Carslaw, K. S., Marshall, L., Abraham, N. L., and Johnson, C. E.: Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds, Atmos. Chem. Phys., 20, 13627–13654, https://doi.org/10.5194/acp-20-13627-2020, 2020.
Dietmüller, S., Eichinger, R., Garny, H., Birner, T., Boenisch, H., Pitari, G., Mancini, E., Visioni, D., Stenke, A., Revell, L., Rozanov, E., Plummer, D. A., Scinocca, J., Jöckel, P., Oman, L., Deushi, M., Kiyotaka, S., Kinnison, D. E., Garcia, R., Morgenstern, O., Zeng, G., Stone, K. A., and Schofield, R.: Quantifying the effect of mixing on the mean age of air in CCMVal-2 and CCMI-1 models, Atmos. Chem. Phys., 18, 6699–6720, https://doi.org/10.5194/acp-18-6699-2018, 2018.
Ding, Q., Schweiger, A., L'Heureux, M., Steig, E. J., Battisti, D. S.,
Johnson, N. C., Blanchard-Wrigglesworth, E., Po-Chedley, S., Zhang, Q.,
Harnos, K., Bushuk, M., Markle, B., and Baxter, I.: Fingerprints of internal
drivers of Arctic sea ice loss in observations and model simulations, Nature
Geosci., 12, 28–33, https://doi.org/10.1038/s41561-018-0256-8, 2019.
Domeisen, D. I., Garfinkel, C. I., and Butler, A. H.: The teleconnection of
El Niño Southern Oscillation to the stratosphere, Rev. Geophys.,
57, 5–47, https://doi.org/10.1029/2018RG000596, 2019.
Egorova, T., Rozanov, E., Zubov, V., and Karol, I.: Model for investigating
ozone trends (MEZON), Izvestiya, Atmos. Ocean. Phys., 39, 277–292, 2003.
Egorova, T., Rozanov, E., Zubov, V., Manzini, E., Schmutz, W., and Peter, T.: Chemistry-climate model SOCOL: a validation of the present-day climatology, Atmos. Chem. Phys., 5, 1557–1576, https://doi.org/10.5194/acp-5-1557-2005, 2005.
Egorova, T., Rozanov, E., Gröbner, J., Hauser, M., and Schmutz, W.: Montreal Protocol Benefits simulated with CCM SOCOL, Atmos. Chem. Phys., 13, 3811–3823, https://doi.org/10.5194/acp-13-3811-2013, 2013.
Ehhalt, D., Prather, M., Dentener, F., Derwent, R., Dlugokencky, E.,
Holland, E., Isaksen, I., Katima, J., Kirchhoff, V., Matson, P., Midgley,
P., and Wang, M.: Atmospheric chemistry and greenhouse gases, in: Climate Change
2001: the Scientific Basis, Contribution of Working Group I to the Third
Assessment Report of the Intergovernmental Panel on Climate Change, edited
by: Houghton, J. T., Ding, Y., Griggs, D. J., Noguer, M., van der Linden,
P. J., Dai, X., Maskell, K., and Johnson, C. A., Cambridge University Press,
Cambridge, UK, New York, 239–288, 2001.
Evans, M. J. and Jacob, D. J.: Impact of new laboratory studies of N2O5
hydrolysis on global model budgets of tropospheric nitrogen oxides, ozone,
and OH, Geophys. Res. Lett., 32, L09813,
https://doi.org/10.1029/2005GL022469, 2005.
Farman, J., Gardiner, B., and Shanklin, J.: Large losses of total ozone in
Antarctica reveal seasonal ClOx/NOx interaction, Nature, 315, 207–210,
https://doi.org/10.1038/315207a0, 1985.
Feinberg A. I., Coulon A., Stenke A., Schwietzke S., and Peter T.: Isotopic
source signatures: Impact of regional variability on the δ13CH4
trend and spatial distribution, Atmos. Environ., 174, 99–111,
https://doi.org/10.1016/j.atmosenv.2017.11.037, 2018.
Feinberg, A., Sukhodolov, T., Luo, B.-P., Rozanov, E., Winkel, L. H. E., Peter, T., and Stenke, A.: Improved tropospheric and stratospheric sulfur cycle in the aerosol–chemistry–climate model SOCOL-AERv2, Geosci. Model Dev., 12, 3863–3887, https://doi.org/10.5194/gmd-12-3863-2019, 2019.
Feinberg, A., Maliki, M., Stenke, A., Sudret, B., Peter, T., and Winkel, L. H. E.: Mapping the drivers of uncertainty in atmospheric selenium deposition with global sensitivity analysis, Atmos. Chem. Phys., 20, 1363–1390, https://doi.org/10.5194/acp-20-1363-2020, 2020.
Fiedler, S., Stevens, B., and Mauritsen, T.: On the sensitivity of
anthropogenic aerosol forcing to model-internal variability and
parameterizing a Twomey effect, J. Adv. Model. Earth Sy., 9, 1325–1341,
https://https://doi.org/10.1002/2017MS000932, 2017.
Fleming, E. L., Newman, P. A., Liang, Q., and Daniel, J. S.: The impact of
continuing CFC-11 emissions on stratospheric ozone, J. Geophys. Res.-Atmos., 125, e2019JD031849, https://doi.org/10.1029/2019JD031849, 2020.
Froidevaux, L., Anderson, J., Wang, H.-J., Fuller, R. A., Schwartz, M. J., Santee, M. L., Livesey, N. J., Pumphrey, H. C., Bernath, P. F., Russell III, J. M., and McCormick, M. P.: Global OZone Chemistry And Related trace gas Data records for the Stratosphere (GOZCARDS): methodology and sample results with a focus on HCl, H2O, and O3, Atmos. Chem. Phys., 15, 10471–10507, https://doi.org/10.5194/acp-15-10471-2015, 2015 (data available at: https://gozcards.jpl.nasa.gov/info.php, last access: 2 September 2021).
Fuchs, N. A.: The mechanics of aerosols, Q. J. Roy. Meteor. Soc., 91, 249–249,
https://doi.org/10.1002/qj.49709138822, 1964.
Funke, B., López-Puertas, M., Holt, L., Randall, C. E., Stiller, G. P.,
and von Clarmann, T.: Hemispheric distributions and interannual variability
of NOy produced by energetic particle precipitation in 2002–2012, J.
Geophys. Res.-Atmos., 119, 13565–13582,
https://doi.org/10.1002/2014JD022423, 2014.
Funke, B., López-Puertas, M., Stiller, G. P., Versick, S., and von Clarmann, T.: A semi-empirical model for mesospheric and stratospheric NOy produced by energetic particle precipitation, Atmos. Chem. Phys., 16, 8667–8693, https://doi.org/10.5194/acp-16-8667-2016, 2016.
Gauss, M., Isaksen, I. S. A., Lee, D. S., and Søvde, O. A.: Impact of aircraft NOx emissions on the atmosphere – tradeoffs to reduce the impact, Atmos. Chem. Phys., 6, 1529–1548, https://doi.org/10.5194/acp-6-1529-2006, 2006.
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs,
L., Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., Wargan,
K., Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A.,
da Silva, A. M., Gu, W., Kim, G.-K., Koster, R., Lucchesi, R., Merkova, D.,
Nielsen, J. E., Partyka, G., Pawson, S., Putman, W., Rienecker, M.,
Schubert, S. D., Sienkiewicz, M., and Zhao, B.: The Modern-Era Retrospective
Analysis for Research and Applications, Version 2 (MERRA-2), J. Climate, 30,
5419–5454, https://doi.org/10.1175/JCLI-D-16-0758.1, 2017.
Gerber, E. P., Butler, A., Calvo, N., Charlton-Perez, A., Giorgetta, M.,
Manzini, E., Perlwitz, J., Polvani, L. M., Sassi, F., Scaife, A. A., Shaw,
T. A., Son, S.-W., and Watanabe, Sh.: Assessing and understanding the impact
of stratospheric dynamics and variability on the earth system, B. Am.
Meteorol. Soc., 93, 845–859, https://doi.org/10.1175/BAMS-D-11-00145.1, 2012.
Gettelman, A., Mills, M. J., Kinnison, D. E., Garcia, R. R., Smith, A. K.,
Marsh, D. R., Tilmes, S., Vitt, F., Bardeen, C. G., McInerny, J., Liu,
H.-L., Solomon, S. C., Polvani, L. M., Emmons, L. K., Lamarque, J.-F.,
Richter, J. H., Glanville, A. S., and Giorgetta, M. A.: Der Einfluss der
quasi-zweijährigen Oszillation: Modellrechnungen mit ECHAM4,
Max-Planck-Institut für Meteorologie, Hamburg,
Examensarbeit Nr. 40, MPI-Report 218, 1996.
Giorgetta, M. A., Jungclaus, J., Reick, C. H., Legutke, S., Bader, J.,
Böttinger, M., Brovkin, V., Crueger, T., Esch, M., Fieg, K.,
Glushak, K., Gayler, V., Haak, H., Hollweg, H.-D., Ilyina, T., Kinne,
S., Kornblueh, L., Matei, D., Mauritsen, T., Mikolajewicz, U. M. W.,
Notz, D., Pithan, F., Raddatz, T., Rast, S., Redler, R., Roeckner, E.,
Schmidt, H., Schnur, R., Segschneider, J., Six, Katharina, D.,
Stockhause, M., Timmreck, C., Wegner, J., Widmann, H., Wieners, K.-H.,
Claussen, M., Marotzke, J., and Stevens, B.: Climate and carbon cycle
changes demo 1850 to 2100 in MPI-ESM simulations for the Coupled Model
Intercomparison Project phase 5, J. Adv. Model. Earth Sy., 5, 572–597,
https://doi.org/10.1002/jame.20038, 2013.
Global Modeling and Assimilation Office (GMAO): MERRA-2 inst3_3d_asm_Np: 3d,3-Hourly,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields V5.12.4, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC) [data set], https://doi.org/10.5067/QBZ6MG944HW0, 2015.
Goll, D. S., Winkler, A. J., Raddatz, T., Dong, N., Prentice, I. C., Ciais, P., and Brovkin, V.: Carbon–nitrogen interactions in idealized simulations with JSBACH (version 3.10), Geosci. Model Dev., 10, 2009–2030, https://doi.org/10.5194/gmd-10-2009-2017, 2017.
Grewe, V.: Impact of lightning on air chemistry and climate, in: Lightning:
Principles, Instruments and Applications (Review of Modern Lightning
Research), edited by: Betz, H. D., Schumann, U., and Laroche, P., Springer
Netherlands, 537–549, https://doi.org/10.1007/978-1-4020-9079-0, 2009.
Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I., and Geron, C.: Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature), Atmos. Chem. Phys., 6, 3181–3210, https://doi.org/10.5194/acp-6-3181-2006, 2006.
Günther, A., Höpfner, M., Sinnhuber, B.-M., Griessbach, S., Deshler, T., von Clarmann, T., and Stiller, G.: MIPAS observations of volcanic sulfate aerosol and sulfur dioxide in the stratosphere, Atmos. Chem. Phys., 18, 1217–1239, https://doi.org/10.5194/acp-18-1217-2018, 2018.
Guo, Y., Yu, Y., Lin, P., Liu, H., He, B., Bao, O., Zhao, S., and Wang, X.:
Overview of the CMIP6 Historical Experiment Datasets with the Climate System
Model CAS FGOALS-f3-L, Adv. Atmos. Sci., 37, 1057–1066,
https://doi.org/10.1007/s00376-020-2004-4, 2020.
Haase, S. and Matthes, K.: The importance of interactive chemistry for stratosphere–troposphere coupling, Atmos. Chem. Phys., 19, 3417–3432, https://doi.org/10.5194/acp-19-3417-2019, 2019.
Hagemann, S. and Stacke, T.: Impact of the soil hydrology scheme on
simulated soil moisture memory, Clim. Dynam., 44, 1731–1750,
https://doi.org/10.1007/s00382-014-2221-6, 2015.
Hansen, J., Ruedy, R., Sato, M., and Reynolds, R.: Global surface air
temperature in 1995: Return to pre-Pinatubo level, Geophys. Res. Lett., 23,
1665–1668, https://doi.org/10.1029/96GL01040, 1996.
Hanson, D. R. and Ravishankara, A. R.: Reactive Uptake of ClONO2 onto
Sulfuric Acid Due to Reaction with HCl and H2O, J. Phys. Chem., 98,
5728–5735, https://doi.org/10.1021/j100073a026, 1994.
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 monthly averaged data on pressure levels from 1979 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.6860a573, 2019.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D.,
Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G. Bechtold, P.,
Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D.,
Diamantakis, M., Dragani, R., Flemming, J., Forbes, R. Fuentes, M., Geer,
A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková,
M., Keeley, S., Laloyaux, P., Lopez, Ph., Lupu, C., Radnoti, G., de Rosnay,
P., Rozum, I. Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global
reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2029,
https://doi.org/10.1002/qj.3803, 2020.
Hibler, W. D.: A Dynamic Thermodynamic Sea Ice Model, J. Phys. Oceanogr., 9,
815–846, https://doi.org/10.1175/1520-0485(1979)009, 1979.
Hines, C. O.: Doppler-spread parameterization of gravity-wave momentum
deposition in the middle atmosphere, 1, Basic formulation, J. Atmos. Solar
Terr. Phy., 59, 371–386, https://doi.org/10.1016/S1364-6826(96)00079-X,
1997a.
Hines, C. O.: Doppler-spread parameterization of gravity-wave momentum
deposition in the middle atmosphere, 2, Broad and quasi monochromatic
spectra, and implementation, J. Atmos. Solar Terr. Phy., 59, 387–400,
https://doi.org/10.1016/S1364-6826(96)00080-6, 1997b.
Hoesly, R. M., Smith, S. J., Feng, L., Klimont, Z., Janssens-Maenhout, G., Pitkanen, T., Seibert, J. J., Vu, L., Andres, R. J., Bolt, R. M., Bond, T. C., Dawidowski, L., Kholod, N., Kurokawa, J.-I., Li, M., Liu, L., Lu, Z., Moura, M. C. P., O'Rourke, P. R., and Zhang, Q.: Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS), Geosci. Model Dev., 11, 369–408, https://doi.org/10.5194/gmd-11-369-2018, 2018.
Holton, J. R., Haynes, P. H., McIntyre, M. I., Douglass, A. R., Rood, R. B.,
and Pfister, L.: Stratosphere-Troposphere Exchange, Rev. Geophys., 33,
p. 405, 1995.
Hurtt, G. C., Chini, L. P., Frolking, S., Betts, R. A., Feddema, J.,
Fischer, G., Fisk, J. P., Hibbard, K., Houghton, R. A., Janetos, A., Jones,
C. D., Kindermann, G., Kinoshita, T., Klein Goldewijk, K., Riahi, K.,
Shevliakova, E., Smith, S., Stehfest, E., Thomson, A., Thornton, P., van
Vuuren, D. P., and Wang, Y. P.: Harmonization of land-use scenarios for the
period 1500–2100: 600 years of global gridded annual land-use transitions,
wood harvest, and resulting secondary lands, Clim. Change, 109, 117–161,
https://doi.org/10.1007/s10584-011-0153-2, 2011.
Iacono, M. J., Delamere, J. S., Mlawer, E. J., Shephard, M. W., Clough, S.
A., and Collins, W. D.: Radiative forcing by long-lived greenhouse gases:
Calculations with the AER radiative transfer models, J. Geophys. Res., 113,
D13103, https://doi.org/10.1029/2008JD009944, 2008.
Ilyina, T., Wolf-Gladrow, D., Munhoven, G., and Heinze, C.: Assessing the
potential of calcium-based artificial ocean alkalinization to mitigate
rising atmospheric CO2 and ocean acidification, Geophys. Res. Lett., 40,
5909–5914, https://doi.org/10.1002/2013GL057981, 2013.
Jacob, D. J.: Chemistry of OH in remote clouds and its role in the
production of formic acid and peroxymonosulfate, J. Geophys. Res., 91,
9807–9826, https://doi.org/10.1029/JD091iD09p09807, 1986.
Jacobson, M. Z. and Seinfeld, J. H.: Evolution of nanoparticle size and mixing
state near the point of emission, Atmos. Environ., 38, 1839–1850,
https://doi.org/10.1016/j.atmosenv.2004.01.014, 2004.
Jöckel, P., von Kuhlmann, R., Lawrence, M. G., Steil, B., Brenninkmeijer,
C. A. M., Crutzen, P. J., Rasch, P. J., and Eaton, B.: On a fundamental problem
in implementing flux-form advection schemes for tracer transport in
3-dimensional general circulation and chemistry transport models, Q. J. Roy.
Meteor. Soc., 127, 1035–1052, https://doi.org/10.1002/qj.49712757318,
2001.
Jungclaus, J. H., Keenlyside, N., Botzet, M., Haak, H., Luo, J.-J., Latif,
M., Marotzke, J., Mikolajewicz, U., and Roeckner, E.: Ocean circulation and
tropical variability in the coupled model ECHAM5/MPI-OM, J. Climate, 19,
3952–3972, https://doi.org/10.1175/JCLI3827.1, 2006.
Jungclaus, J. H., Fischer, N., Haak, H., Lohmann, K., Marotzke, J., Matei,
D., Mikolajewicz, U., Notz, D., and von Storch, J. S.: Characteristics of
the ocean simulations in MPIOM, the ocean component of the MPI-Earth system
model, J. Adv. Model. Earth Sy., 5, 422–446, https://doi.org/10.1002/jame.20023,
2013.
Karagodin-Doyennel, A., Rozanov, E., Kuchar, A., Ball, W., Arsenovic, P., Remsberg, E., Jöckel, P., Kunze, M., Plummer, D. A., Stenke, A., Marsh, D., Kinnison, D., and Peter, T.: The response of mesospheric H2O and CO to solar irradiance variability in models and observations, Atmos. Chem. Phys., 21, 201–216, https://doi.org/10.5194/acp-21-201-2021, 2021.
Kasten, F.: Falling speed of aerosol particles, J. Appl. Meteorol. Clim., 7,
944–947, https://doi.org/10.1175/1520-0450(1968)007, 1968.
Keeble, J., Hassler, B., Banerjee, A., Checa-Garcia, R., Chiodo, G., Davis, S., Eyring, V., Griffiths, P. T., Morgenstern, O., Nowack, P., Zeng, G., Zhang, J., Bodeker, G., Burrows, S., Cameron-Smith, P., Cugnet, D., Danek, C., Deushi, M., Horowitz, L. W., Kubin, A., Li, L., Lohmann, G., Michou, M., Mills, M. J., Nabat, P., Olivié, D., Park, S., Seland, Ø., Stoll, J., Wieners, K.-H., and Wu, T.: Evaluating stratospheric ozone and water vapour changes in CMIP6 models from 1850 to 2100, Atmos. Chem. Phys., 21, 5015–5061, https://doi.org/10.5194/acp-21-5015-2021, 2021.
Kerkweg, A., Buchholz, J., Ganzeveld, L., Pozzer, A., Tost, H., and Jöckel, P.: Technical Note: An implementation of the dry removal processes DRY DEPosition and SEDImentation in the Modular Earth Submodel System (MESSy), Atmos. Chem. Phys., 6, 4617–4632, https://doi.org/10.5194/acp-6-4617-2006, 2006.
Kidston, J., Scaife, A., Hardiman, S., Mitchel, D. M., Butchart, N., Baldwin,
M. P., and Gray, L. J.: Stratospheric influence on tropospheric jet streams,
storm tracks and surface weather, Nat. Geosci., 8, 433–440,
https://doi.org/10.1038/ngeo2424, 2015.
Kinne, S., O'Donnel, D., Stier, P., Kloster, S., Zhang, K., Schmidt, H.,
Rast, S., Giorgetta, M., Eck, T. F., and Stevens, B.: MAC-v1: A new global
aerosol climatology for climate studies, J. Adv. Model. Earth Sy., 5,
704–740, https://doi.org/10.1002/jame.20035, 2013.
Koenig, Th. K., Baidara, S., Campuzano-Josta, P., Cuevasc, C. A., Dixa, B.,
Fernandez, R. P., Guoa, H., Halle, S. R., Kinnisone, D., Naulta, B. A.,
Ullmanne, K., Jimeneza, L. L., Saiz-Lopezc, A., and Volkamera, R.:
Quantitative detection of iodine in the stratosphere, P. Natl. Acad. Sci.
USA, 117, 1860–1866, https://doi.org/10.1073/pnas.1916828117, 2020.
Koepke P., Hess, M., Schult, I., and Shettle, E. P.: Global aerosol
dataset, Report N 243, Max-Plank-Institut für Meteorologie, Hamburg, 44 pp., 1997.
Koo, J.-H., Walker, K. A., Jones, A., Sheese, P. E., Boone, C. D., Bernath, P. F., and Manney, G. L.: Global climatology based on the ACE-FTS version 3.5 data set: Addition of mesospheric levels and carbon-containing species in the UTLS, J. Quant. Spectros. Ra., 12, 52–62, https://doi.org/10.1016/j.jqsrt.2016.07.003, 2017 (data available at: http://www.ace.uwaterloo.ca/climatology/3.5/netcdf/, last access: 6 September 2021).
Kulmala, M. and Laaksonen, A.: Binary nucleation of water–sulfuric acid
system: Comparison of classical theories with different H2SO4 saturation
vapor pressures, J. Chem. Phys., 93, 696–701,
https://doi.org/10.1063/1.459519, 1990.
Lana, A., Bell, T. G., Simó, R., Vallina, S. M., Ballabrera-Poy, J.,
Kettle, A. J., Dachs, J., Bopp, L., Saltzman, E. S., Stefels, J., Johnson,
J. E., and Liss, P. S.: An updated climatology of surface dimethlysulfide
concentrations and emission fluxes in the global ocean, Global Biogeochem.
Cy., 25, GB1004, https://doi.org/10.1029/2010GB003850, 2011.
Lin, S. J. and Rood, R. B.: Multidimensional flux-form semiLagrangian
transport schemes, Mon. Weather Rev., 124, 2046–2070,
https://doi.org/10.1175/1520-0493(1996)124, 1996.
Long, C. S., Fujiwara, M., Davis, S., Mitchell, D. M., and Wright, C. J.: Climatology and interannual variability of dynamic variables in multiple reanalyses evaluated by the SPARC Reanalysis Intercomparison Project (S-RIP), Atmos. Chem. Phys., 17, 14593–14629, https://doi.org/10.5194/acp-17-14593-2017, 2017.
Lott, F.: Alleviation of stationary biases in a GCM through a mountain drag
parameterization scheme and a simple representation of mountain lift forces,
Mon. Weather Rev., 127, 788–801,
https://doi.org/10.1175/1520-0493(1999)127, 1999.
Manabe S. and Bryan, K.: Climate calculations with a combined
ocean–atmosphere model, J. Atmos. Sci., 26, 786—789,
https://doi.org/10.1175/1520-0469(1969)026, 1969.
Manney, G. L., Livesey, N. J., Santee, M. L., Froidevaux, L., Lambert, A.,
Lawrence, Z. D., Millán, L. F., Neu, J. L., Read, W. G., Schwartz, M. J., and Fuller, R. A.: Record-low Arctic stratospheric ozone in 2020: MLS
observations of chemical processes and comparisons with previous extreme
winters, Geophys. Res. Lett., 47, e2020GL089063,
https://doi.org/10.1029/2020GL089063, 2020.
Manzini, E., Giorgetta, M. A., Esch, M., Kornblueh, L., and Roeckner, E.: The
influence of the sea surface temperatures on the northern winter
stratosphere: Ensemble Simulations with the MAECHAM5 model, J. Climate, 19,
3863–3881, https://doi.org/10.1175/JCLI3826.1, 2006.
Marsh, D. R., Janches, D., Feng, W., and Plane, J. M. C.: A global model of
meteoric sodium, J. Geophys. Res.-Atmos., 118, 11442–11452,
https://doi.org/10.1002/jgrd.50870, 2013.
Matthes, K., Funke, B., Andersson, M. E., Barnard, L., Beer, J., Charbonneau, P., Clilverd, M. A., Dudok de Wit, T., Haberreiter, M., Hendry, A., Jackman, C. H., Kretzschmar, M., Kruschke, T., Kunze, M., Langematz, U., Marsh, D. R., Maycock, A. C., Misios, S., Rodger, C. J., Scaife, A. A., Seppälä, A., Shangguan, M., Sinnhuber, M., Tourpali, K., Usoskin, I., van de Kamp, M., Verronen, P. T., and Versick, S.: Solar forcing for CMIP6 (v3.2), Geosci. Model Dev., 10, 2247–2302, https://doi.org/10.5194/gmd-10-2247-2017, 2017.
Matthes, K., Biastoch, A., Wahl, S., Harlaß, J., Martin, T., Brücher, T., Drews, A., Ehlert, D., Getzlaff, K., Krüger, F., Rath, W., Scheinert, M., Schwarzkopf, F. U., Bayr, T., Schmidt, H., and Park, W.: The Flexible Ocean and Climate Infrastructure version 1 (FOCI1): mean state and variability, Geosci. Model Dev., 13, 2533–2568, https://doi.org/10.5194/gmd-13-2533-2020, 2020.
Mauritsen, T., Bader, J., Becker, T., Behrens, J., Bittner, M., Brokopf, R.,
Brovkin, V., Claussen, M., Crueger, T., Esch, M., Fast, I., Fiedler, S.,
Fläschner, D., Gayler, V., Giorgetta, M., Goll, D. S., Haak, H.,
Hagemann, S., Hedemann, C., Hohenegger, C., Ilyina, T., Jahns, Th.,
Jimenéz-de-la-Cuesta, D., Jungclaus, J., Kleinen, Th., Kloster, S.,
Kracher, D., Kinne, S., Kleberg, D., Lasslop, G., Kornblueh, L., Marotzke,
J., Matei, D., Meraner, K., Mikolajewicz, U., Modali, K., Möbis, B.,
Müller, W. A., Nabel, J. E. M. S., Nam, C. C. W., Notz, D., Nyawira,
S.-S., Paulsen, H., Peters, K., Pincus, R., Pohlmann, H., Pongratz, J.,
Popp, M., Raddatz, Th. J., Rast, S., Redler, R., Reick, Ch. H.,
Rohrschneider, T., Schemann, V., Schmidt, H., Schnur, R., Schulzweida, U.,
Six, K. D., Stein, L., Stemmler, I., Stevens, B., von Storch, J.-S., Tian,
F., Voigt, A., Vrese, Ph., Wieners, K.-H., Wilkenskjeld, S., Winkler, A., and
Roeckner, E.: Developments in the MPI-M Earth System Model version 1.2
(MPI-ESM1.2) and its response to increasing CO2, J. Adv. Model. Earth Sy.,
11, 998–1038, https://doi.org/10.1029/2018MS001400, 2019.
McConnell, J. C. and Jin, J. J.: Stratospheric ozone chemistry,
Atmos.-Ocean, 46, 69–92, https://doi.org/10.3137/ao.460104, 2008.
McPeters, R. D., Bhartia, P. K., Haffner, D., Labow, G. J., and Flynn, L.:
The version 8.6 SBUV ozone data record: An overview, J. Geophys. Res.-Atmos., 118, 8032–8039, https://doi.org/10.1002/jgrd.50597, 2013 (data available at: https://acd-ext.gsfc.nasa.gov/Data_services/merged/instruments.html, last access: 2 September 2021).
Meinshausen, N., Hauser, A., Mooij, J. M., Peters, J., Versteeg, Ph., and
Bühlmann, P.: Methods for causal inference from gene perturbation
experiments and validation, P. Natl. Acad. Sci. USA, 27, 7361–7368,
https://doi.org/10.1073/pnas.1510493113, 2016.
Meinshausen, M., Vogel, E., Nauels, A., Lorbacher, K., Meinshausen, N., Etheridge, D. M., Fraser, P. J., Montzka, S. A., Rayner, P. J., Trudinger, C. M., Krummel, P. B., Beyerle, U., Canadell, J. G., Daniel, J. S., Enting, I. G., Law, R. M., Lunder, C. R., O'Doherty, S., Prinn, R. G., Reimann, S., Rubino, M., Velders, G. J. M., Vollmer, M. K., Wang, R. H. J., and Weiss, R.: Historical greenhouse gas concentrations for climate modelling (CMIP6), Geosci. Model Dev., 10, 2057–2116, https://doi.org/10.5194/gmd-10-2057-2017, 2017.
Miller, M. J., Palmer, T. N., and Swinbank, R.: Parametrization and influence
of subgridscale orography in general circulation and numerical weather
prediction models, Meteorol. Atmos. Phys., 40, 84–109,
https://doi.org/10.1007/BF01027469, 1989.
Mironova, I. A., Aplin, K. L., Arnold, F., Bazilevskaya, G. A., Harrison, R.
G., Giles, R., Krivolutsky, A. A., Nicoll, K. A., Rozanov, E. V., Turunen, E., and Usoskin, I. G.: Energetic Particle Influence on the Earth's Atmosphere,
Space Sci. Rev., 194, 1–96, https://doi.org/10.1007/s11214-015-0185-4,
2015.
Mote, P. W., Dunkerton, T. J., McIntyre, M. E., Ray, E. A., Haynes, P. H.,
and Russell, J. M.: Vertical velocity, vertical diffusion, and dilution by
midlatitude air in the tropical lower stratosphere, J. Geophys. Res., 103,
8651–8666, https://doi.org/10.1029/98JD00203, 1998.
Möbis, B. and Stevens, B.: Factors controlling the position of the
Intertropical Convergence Zone on an aquaplanet, J. Adv. Model. Earth Sy.,
4, M00A04, https://https://doi.org/10.1029/2012MS000199, 2012.
Müller, W. A., Jungclaus, J. H., Mauritsen, T., Baehr, J., Bittner, M., Budich, R., Bunzel, F., Esch, M., Ghosh, R., Haak, H., Ilyina, T., Kleine, T., Kornblueh, L., Li, H., Modali, K., Notz, D., Pohlmann, H., Roeckner, E., Stemmler, I., Tian, F., and Marotzke, J.: A higher-resolution version of the Max Planck Institute Earth System Model (MPI-ESM1.2-HR), J. Adv. Model. Earth
Sy., 10, 1383–1413, https://doi.org/10.1029/2017MS001217, 2018.
Muthers, S., Anet, J. G., Stenke, A., Raible, C. C., Rozanov, E., Brönnimann, S., Peter, T., Arfeuille, F. X., Shapiro, A. I., Beer, J., Steinhilber, F., Brugnara, Y., and Schmutz, W.: The coupled atmosphere–chemistry–ocean model SOCOL-MPIOM, Geosci. Model Dev., 7, 2157–2179, https://doi.org/10.5194/gmd-7-2157-2014, 2014.
Nakajima, H., Wohltmann, I., Wegner, T., Takeda, M., Pitts, M. C., Poole, L. R., Lehmann, R., Santee, M. L., and Rex, M.: Polar stratospheric cloud evolution and chlorine activation measured by CALIPSO and MLS, and modeled by ATLAS, Atmos. Chem. Phys., 16, 3311–3325, https://doi.org/10.5194/acp-16-3311-2016, 2016.
Niemeier, U. and Schmidt, H.: Changing transport processes in the stratosphere by radiative heating of sulfate aerosols, Atmos. Chem. Phys., 17, 14871–14886, https://doi.org/10.5194/acp-17-14871-2017, 2017.
Nightingale, P. D., Malin, G., Law, C. S., Watson, A. J., Liss, P. S.,
Liddicoat, M. I., Boutin, J., and Upstill-Goddard, R. C.: In situ evaluation
of air-sea gas exchange parameterizations using novel conservative and
volatile tracers, Global Biogeochem. Cy., 1, 373– 387,
https://https://doi.org/10.1029/1999GB900091, 2000.
Nordeng, T. E.: Extended versions of the convective parameterization scheme
at ECMWF and their impact on the mean and transient activity of the model in
the tropics, ECMWF Research Department Tech. Memo., 41 pp., 1994.
Nowack, P. J., Abraham, N. L., Maycock, A. C., Braesicke, P., Gregory, J. M.,
Joshi, M. M., Osprey, A., and Pyle, J. A.: A large ozone-circulation feedback
and its implications for global warming assessments, Nat. Clim. Chang., 5,
41–45, https://doi.org/10.1038/nclimate2451, 2015.
Oehrlein, J., Chiodo, G., and Polvani, L. M.: The effect of interactive ozone chemistry on weak and strong stratospheric polar vortex events, Atmos. Chem. Phys., 20, 10531–10544, https://doi.org/10.5194/acp-20-10531-2020, 2020.
Orbe, C., Wargan, K., Pawson, S., and Oman, L. D.: Mechanisms linked to
recent ozone decreases in the Northern Hemisphere lower stratosphere,
J. Geophys. Res.-Atmos., 125, e2019JD031631,
https://doi.org/10.1029/2019JD031631, 2020.
Ozolin, Y.: Modelling of diurnal variations of gas species in the atmosphere
and diurnal averaging in photochemical models, Izv. Akad. Nauk. Phys. Atmos.
Ocean., 28, 135–143, 1992.
Palmer, T. N., Shutts, G. J., and Swinbank, R.: Alleviation of a systematic
westerly bias in general circulation and numerical weather prediction models
through an orographic gravity wave drag parametrization, Q. J. Roy. Meteor.
Soc., 112, 1001–1039, https://doi.org/10.1002/qj.49711247406, 1986.
Paulsen, J., Sekelja, M., Oldenburg, A. R., Barateau, A., Briand, N.,
Delbarre, E., Shah, A., Sørensen, A. L., Vigouroux, C., Buendia, B., and
Collas, Ph.: Chrom3D: three-dimensional genome modeling from Hi-C and
nuclear lamin-genome contacts, Genome Biol., 18, 1–15,
https://doi.org/10.1186/s13059-016-1146-2, 2017.
Pedersen, C. A., Roeckner, E., Lüthje, M., and Winther, J.-G.: A new sea
ice albedo scheme including melt ponds for ECHAM5 general circulation model,
J. Geophys. Res., 114, D08101, https://https://doi.org/10.1029/2008JD010440,
2009.
Petropavlovskikh, I., Godin-Beekmann, S., Hubert, D., Damadeo, R., Hassler,
B., and Sofieva, V.: SPARC/IO3C/GAW report on Long-term Ozone Trends and
Uncertainties in the Stratosphere, SPARC/IO3C/GAW, SPARC Report No. 9,
WCRP-17/2018, GAW Report No. 241, https://doi.org/10.17874/f899e57a20b,
2019.
Pincus, R. and Stevens, B.: Paths to accuracy for radiation
parameterizations in atmospheric models, J. Adv. Model.
Earth Sy., 5, 225–233, https://doi.org/10.1002/jame.20027, 2013.
Plumb, R. A.: Stratospheric transport, J. Meteorol. Soc. Jpn., 80, 793–809,
https://doi.org/10.2151/jmsj.80.793, 2002.
Plumb, R. A.: Tracer interrelationships in the stratosphere, Rev. Geophys.,
45, RG4005, https://doi.org/10.1029/2005RG000179, 2007.
Polvani, L. M., Wang, L., Abalos, M., Butchart, N., Chipperfield, M. P.,
Dameris, M., Deushi, M., Dhomse, S. S., Jöckel, P., Kinnison, D.,
Michou, M., Morgenstern, O., Oman, L. D., Plummer, D. A., and Stone, K. A.:
Large impacts, past and future, of ozone-depleting substances on
Brewer-Dobson circulation trends: A multimodel assessment, J. Geoph. Res.-Atmos., 124, 6669–6680, https://doi.org/10.1029/2018JD029516, 2019.
Pöschl, U., von Kuhlmann, R., Poisson, N., and Crutzen, P. J.:
Development and Intercomparison of Condensed Isoprene Oxidation Mechanisms
for Global Atmospheric Modeling, J. Atmos. Chem., 37, 29–52,
https://doi.org/10.1023/A:1006391009798, 2000.
Previdi, M. and Polvani, L. M.: Climate system response to stratospheric
ozone depletion and recovery, Q. J. Roy. Meteor. Soc., 140, 2401–2419,
https://doi.org/10.1002/qj.2330, 2014.
Price, C. and Rind, D.: A simple lightning parameterization for calculating
global lightning distributions, J. Geophys. Res., 97, 9919–9933,
https://doi.org/10.1029/92JD00719, 1992.
Pruppacher, H. R. and Klett, J. D.: Microphysics of Clouds and
Precipitation, 2nd edn., Kluwer Academic, Dordrecht, 954 pp., 1997.
Revell, L. E., Tummon, F., Stenke, A., Sukhodolov, T., Coulon, A., Rozanov, E., Garny, H., Grewe, V., and Peter, T.: Drivers of the tropospheric ozone budget throughout the 21st century under the medium-high climate scenario RCP 6.0, Atmos. Chem. Phys., 15, 5887–5902, https://doi.org/10.5194/acp-15-5887-2015, 2015.
Revell, L. E., Stenke, A., Rozanov, E., Ball, W., Lossow, S., and Peter, T.: The role of methane in projections of 21st century stratospheric water vapour, Atmos. Chem. Phys., 16, 13067–13080, https://doi.org/10.5194/acp-16-13067-2016, 2016.
Revell, L. E., Stenke, A., Tummon, F., Feinberg, A., Rozanov, E., Peter, T., Abraham, N. L., Akiyoshi, H., Archibald, A. T., Butchart, N., Deushi, M., Jöckel, P., Kinnison, D., Michou, M., Morgenstern, O., O'Connor, F. M., Oman, L. D., Pitari, G., Plummer, D. A., Schofield, R., Stone, K., Tilmes, S., Visioni, D., Yamashita, Y., and Zeng, G.: Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model, Atmos. Chem. Phys., 18, 16155–16172, https://doi.org/10.5194/acp-18-16155-2018, 2018.
Rohde, R. and Hausfather, Z.: Berkeley Earth Combined Land and Ocean Temperature Field, Jan 1850–Nov 2019, Zenodo [data set], https://doi.org/10.5281/zenodo.3634712, 2019.
Rieder, H., Chiodo, G., Fritzer, J., Wienerroither, C., and Polvani, L.: Is
interactive ozone chemistry important to represent polar cap stratospheric
temperature variability in Earth-System Models?, Environ. Res. Lett., 14,
044026, https://doi.org/10.1088/1748-9326/ab07ff, 2019.
Rozanov, E. V., Zubov, V. A., Schlesinger, M. E., Yang, F., and Andronova,
N. G.: The UIUC three-dimensional stratospheric chemical transport model:
Description and evaluation of the simulated source gases and ozone, J.
Geophys. Res., 104, 11755–11781, https://https://doi.org/10.1029/1999JD900138, 1999.
Rozanov, E. V., Schlesinger, M. E., and Zubov, V. A.: The University of
Illinois, Urbana-Champaign three-dimensional stratosphere-troposphere
general circulation model with interactive ozone photochemistry:
Fifteen-year control run climatology, J. Geophys. Res., 106, 27233–27254,
https://doi.org/10.1029/2000JD000058, 2001.
Rozanov, E., Calisto, M., Egorova, T., Peter, T., and Schmutz, W.: Influence
of the Precipitating Energetic Particles on Atmospheric Chemistry and
Climate, Surv. Geophys., 33, 483–501,
https://doi.org/10.1007/s10712-012-9192-0, 2012.
Schmidt, T., Alexander, P., and de la Torre, A.: Stratospheric gravity wave
momentum flux from radio occultations, J. Geophys. Res.-Atmos., 121, 4443–4467, https://doi.org/10.1002/2015JD024135, 2013.
Schmidt, H., Brasseur, G. P., Charron, M., Manzini, E., Giorgetta, M. A.,
Diehl, T., Fomichev, V. I., Kinnison, D., Marsh, D., and Walters, S.: The
HAMMONIA Chemistry Climate Model: Sensitivity of the Mesopause Region to the
11-Year Solar Cycle and CO2 Doubling, J. Clim., 19, 3903–3931,
https://doi.org/10.1175/JCLI3829.1, 2006.
Schraner, M., Rozanov, E., Schnadt Poberaj, C., Kenzelmann, P., Fischer, A. M., Zubov, V., Luo, B. P., Hoyle, C. R., Egorova, T., Fueglistaler, S., Brönnimann, S., Schmutz, W., and Peter, T.: Technical Note: Chemistry-climate model SOCOL: version 2.0 with improved transport and chemistry/microphysics schemes, Atmos. Chem. Phys., 8, 5957–5974, https://doi.org/10.5194/acp-8-5957-2008, 2008.
Semtner, A. J.: A model for the thermodynamic growth of sea ice in numerical
investigations of climate, J. Phys. Oceanogr., 6, 379–389,
1976.
Sheng, J.-X., Weisenstein, D. K., Luo, B.-P., Rozanov, E., Stenke, A., Anet,
J., Bingemer, H., and Peter, T.: Global atmospheric sulfur budget under
volcanically quiescent conditions: Aerosol-chemistry-climate model
predictions and validation, J. Geophys. Res.-Atmos., 120, 256–276,
https://doi.org/10.1002/2014JD021985, 2015.
Simmons, A. J., Soci, C., Nicolas, J., Bell, B., Berrisford, P., Dragani, R.,
Flemming, J., Haimberger, L., Healey, S. B., Hersbach, H., Horányi, A.,
Inness, A., Muñoz-Sabater, J., Radu, R.. and Schepers, D.: Global
stratospheric temperature bias and other stratospheric aspects of ERA5 and
ERA5.1, Technical Memorandum 859, ECMWF, Reading, UK,
https://doi.org/10.21957/rcxqfmg0, 2020.
SPARC: The SPARC Data Initiative: Assessment of stratospheric trace gas and
aerosol climatologies from satellite limb sounders, edited by: Hegglin, M. I. and Tegtmeier, S., SPARC Report No. 8, WCRP-5/2017, available at:
https://www.sparc-climate.org/publications/sparc-reports/sparc-report-no-8/ (last access: 2 September 2021), 2017.
Stenke, A., Schraner, M., Rozanov, E., Egorova, T., Luo, B., and Peter, T.: The SOCOL version 3.0 chemistry–climate model: description, evaluation, and implications from an advanced transport algorithm, Geosci. Model Dev., 6, 1407–1427, https://doi.org/10.5194/gmd-6-1407-2013, 2013.
Stevens, B., Giorgetta, M., Esch, M., Mauritsen, T., Crueger, T., Rast, S.,
Salzmann, M., Schmidt, H., Bader, J., Block, K., Brokopf, R., Fast, I.,
Kinne, S., Kornblueh, L., Lohmann, U., Pincus, R., Reichler, Th., and
Roeckner, E.: Atmospheric component of the MPI-M Earth System Model: ECHAM6,
J. Adv. Model. Earth Sy., 5, 1942–2466,
https://doi.org/10.1002/jame.20015, 2013.
Stevens, B., Fiedler, S., Kinne, S., Peters, K., Rast, S., Müsse, J., Smith, S. J., and Mauritsen, T.: MACv2-SP: a parameterization of anthropogenic aerosol optical properties and an associated Twomey effect for use in CMIP6, Geosci. Model Dev., 10, 433–452, https://doi.org/10.5194/gmd-10-433-2017, 2017.
Strahan, S. E.: Middle Atmosphere – Transport Circulation, in:
Encyclopedia of Atmospheric Sciences, 2nd edn., edited by: North, G.
R., Pyle, J., and Zhang, F., Academic Press, 41–49, https://doi.org/10.1016/B978-0-12-382225-3.00231-0, 2015.
Stone, K. A., Solomon, S., and Kinnison, D. E.: On the identification of
ozone recovery, Geophys. Res. Lett., 45, 5158–5165,
https://doi.org/10.1029/2018GL077955, 2018.
Stott, P. A. and Harwood, R. S.: An implicit time-stepping scheme for
chemical species in a global atmospheric circulation model, Ann. Geophys.,
11, 377–388, 1993.
Sukhodolov, T.: SOCOlv4.0 simulation results for 1980–2018, Zenodo [data set], https://doi.org/10.5281/zenodo.5148741, 2021.
Sukhodolov, T., Rozanov, E., Shapiro, A. I., Anet, J., Cagnazzo, C., Peter, T., and Schmutz, W.: Evaluation of the ECHAM family radiation codes performance in the representation of the solar signal, Geosci. Model Dev., 7, 2859–2866, https://doi.org/10.5194/gmd-7-2859-2014, 2014.
Sukhodolov, T., Rozanov, E., Ball, W. T., Bais, A., Tourpali, K., Shapiro,
A. I., Telford, P., Smyshlyaev, S., Fomin, B., Sander, R., Bossay, B., Bekki,
S., Marchand, M., Chipperfield, M. P., Dhomse, S., Haigh, J. D., Peter, Th.,
and Schmutz, W.: Evaluation of simulated photolysis rates and their response
to solar irradiance variability, J. Geophys. Res.-Atmos., 121, 6066–6084,
https://doi.org/10.1002/2015JD024277, 2016.
Sukhodolov, T., Sheng, J.-X., Feinberg, A., Luo, B.-P., Peter, T., Revell, L., Stenke, A., Weisenstein, D. K., and Rozanov, E.: Stratospheric aerosol evolution after Pinatubo simulated with a coupled size-resolved aerosol–chemistry–climate model, SOCOL-AERv1.0, Geosci. Model Dev., 11, 2633–2647, https://doi.org/10.5194/gmd-11-2633-2018, 2018.
Sukhodolov, T., et al.: Atmosphere-Ocean-Aerosol-Chemistry-Climate Model
SOCOLv4.0 code (Version 1.0), Zenodo [code], https://doi.org/10.5281/zenodo.4570622,
2021.
Sundqvist, H., Berge, E., and Kristjánsson, J. E.: Condensation and
cloud parameterization studies with a mesoscale numerical weather prediction
model, Mon. Weather Rev., 117, 1641–1657,
https://doi.org/10.1175/1520-0493(1989)117<1641:CACPSW>2.0.CO;2, 1989.
Tabazadeh, A., Toon, O. B., Clegg, S. L., and Hamill, P.: A new
parameterization of H2SO4/H2O aerosol composition: Atmospheric
implications, Geophys. Res. Lett., 24, 1931–1934,
https://doi.org/10.1029/97GL01879, 1997.
Tian, F., von Storch, J.-S., and Hertwig, E.: Impact of SST diurnal cycle on
ENSO asymmetry, Clim. Dynam., 52, 2399–2411,
https://doi.org/10.1007/s00382-018-4271-7, 2019.
Tiedtke, M.: A Comprehensive Mass Flux Scheme for Cumulus Parameterization
in Large Scale Models, Mon. Weather Rev., 117, 1779–1800,
https://doi.org/10.1175/1520-0493(1989)117<1779:ACMFSF>2.0.CO;2, 1989.
Tilmes, S., Garcia, R. R., Kinnison, D. E., Gettelman, A., and Rasch, P. J.:
Impact of geoengineered aerosols on the troposphere and stratosphere, J.
Geophys. Res., 114, D12305, https://doi.org/10.1029/2008JD011420, 2009.
Timmreck, C., Lorenz, S. J., Crowley, T. J., Kinne, S., Raddatz, T. J.,
Thomas, M. A., and Jungclaus, J. H.: Limited temperature response to the
very large AD 1258 volcanic eruption, Geophys. Res. Lett., 36, L21708,
https://doi.org/10.1029/2009GL040083, 2009.
Timmreck, C., Mann, G. W., Aquila, V., Hommel, R., Lee, L. A., Schmidt, A., Brühl, C., Carn, S., Chin, M., Dhomse, S. S., Diehl, T., English, J. M., Mills, M. J., Neely, R., Sheng, J., Toohey, M., and Weisenstein, D.: The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev., 11, 2581–2608, https://doi.org/10.5194/gmd-11-2581-2018, 2018.
Thomason, L. W., Ernest, N., Millán, L., Rieger, L., Bourassa, A., Vernier, J.-P., Manney, G., Luo, B., Arfeuille, F., and Peter, T.: A global space-based stratospheric aerosol climatology: 1979–2016, Earth Syst. Sci. Data, 10, 469–492, https://doi.org/10.5194/essd-10-469-2018, 2018 (data availalbe at: ftp://iacftp.ethz.ch/pub_read/luo/CMIP6_SAD_radForcing_v4.0.0/, last access: 2 September 2021).
Tost, H., Jöckel, P., and Lelieveld, J.: Influence of different convection parameterisations in a GCM, Atmos. Chem. Phys., 6, 5475–5493, https://doi.org/10.5194/acp-6-5475-2006, 2006.
Tost, H., Jöckel, P., and Lelieveld, J.: Lightning and convection parameterisations – uncertainties in global modelling, Atmos. Chem. Phys., 7, 4553–4568, https://doi.org/10.5194/acp-7-4553-2007, 2007.
Twomey, S.: The influence of pollution on the short wave albedo of clouds,
J. Atmos. Sci., 34, 1149–1152, https://doi.org/10.1175/1520-0469(1977)034,
1977.
van der A, R. J., Allaart, M. A. F., and Eskes, H. J.: Extended and refined multi sensor reanalysis of total ozone for the period 1970–2012, Atmos. Meas. Tech., 8, 3021–3035, https://doi.org/10.5194/amt-8-3021-2015, 2015a.
Van der A, R. J., Allaart, M. A. F., and Eskes, H. J.: Multi-Sensor Reanalysis (MSR) of total ozone, version 2, Royal Netherlands Meteorological Institute (KNMI) [data set], https://doi.org/10.21944/temis-ozone-msr2, 2015b.
Vattioni, S., Weisenstein, D., Keith, D., Feinberg, A., Peter, T., and Stenke, A.: Exploring accumulation-mode H2SO4 versus SO2 stratospheric sulfate geoengineering in a sectional aerosol–chemistry–climate model, Atmos. Chem. Phys., 19, 4877–4897, https://doi.org/10.5194/acp-19-4877-2019, 2019.
Vehkamäki, H., Kulmala, M., Napari, I., Lehtinen, K. E. J., Timmreck,
C., Noppel, M., and Laaksonen, A.: An improved parameterization for sulfuric
acid–water nucleation rates for tropospheric and stratospheric conditions,
J. Geophys. Res., 107, 4622, https://doi.org/10.1029/2002JD002184, 2002.
Velders, G. J. M., Andersen, S. O., Daniel, J. S., Fahey, D. W., and
McFarland, M.: The importance of the Montreal Protocol in protecting
climate, P. Natl. Acad. Sci. USA, 104, 4814–4819,
https://doi.org/10.1073/pnas.0610328104, 2007.
Voigt, C., Schlager, H., Ziereis, H., Kärcher, B., Luo, B. P., Schiller,
C., Krämer, M., Popp, P. J., Irie, H., and Kondo, Y.: Nitric acid in
cirrus clouds, Geophys. Res. Lett., 33, L05803,
https://doi.org/10.1029/2005GL025159, 2006.
Weisenstein, D. K., Yue, G. K., Ko, M. K. W., Sze, N.-D., Rodriguez, J. M.,
and Scott, C. J.: A two-dimensional model of sulfur species and aerosols, J.
Geophys. Res., 102, 13019–13035, https://doi.org/10.1029/97JD00901, 1997.
Wesely, M. L.: Parameterization of surface resistances to gaseous dry
deposition in regional-scale numerical models, Atmos. Environ., 23,
1293–1304, https://doi.org/10.1016/0004-6981(89)90153-4, 1989.
Witze A.: Rare ozone hole opens over Arctic – it's big, Nature, 580, 18–19,
https://doi.org/10.1038/d41586-020-00904-w, 2020.
Walcek, C. J.: Minor flux adjustment near mixing ratio extremes for
simplified yet highly accurate monotonic calculation of tracer advection, J.
Geophys. Res., 105, 9335–9348, https://doi.org/10.1029/1999JD901142, 2000.
Wolff, J.-O., Maier-Reimer, E., and Legutke, S.: The Hamburg Ocean Primitive
Equation Model. World Data Center for Climate (WDCC) at DKRZ,
https://doi.org/10.2312/WDCC/DKRZ_Report_No13,
1997.
Short summary
This paper features the new atmosphere–ocean–aerosol–chemistry–climate model SOCOLv4.0 and its validation. The model performance is evaluated against reanalysis products and observations of atmospheric circulation and trace gas distribution, with a focus on stratospheric processes. Although we identified some problems to be addressed in further model upgrades, we demonstrated that SOCOLv4.0 is already well suited for studies related to chemistry–climate–aerosol interactions.
This paper features the new atmosphere–ocean–aerosol–chemistry–climate model SOCOLv4.0 and its...
