<?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="review-article"><?xmltex \bartext{Review and perspective 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-15-6047-2022</article-id><title-group><article-title>Twenty-five years of the IPCC Data Distribution Centre at the DKRZ and the Reference Data
Archive for CMIP data</article-title><alt-title>Twenty-five years of the IPCC Data Distribution Centre</alt-title>
      </title-group><?xmltex \runningtitle{Twenty-five years of the IPCC Data Distribution Centre}?><?xmltex \runningauthor{M.~Stockhause and M.~Lautenschlager}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name><surname>Stockhause</surname><given-names>Martina</given-names></name>
          <email>stockhause@dkrz.de</email>
        <ext-link>https://orcid.org/0000-0001-6636-4972</ext-link></contrib>
        <contrib contrib-type="author" corresp="no">
          <name><surname>Lautenschlager</surname><given-names>Michael</given-names></name>
          
        </contrib>
        <aff id="aff1"><institution>German Climate Computing Center (DKRZ), Hamburg, 20146, Germany</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Martina Stockhause (stockhause@dkrz.de)</corresp></author-notes><pub-date><day>3</day><month>August</month><year>2022</year></pub-date>
      
      <volume>15</volume>
      <issue>15</issue>
      <fpage>6047</fpage><lpage>6058</lpage>
      <history>
        <date date-type="received"><day>10</day><month>March</month><year>2022</year></date>
           <date date-type="rev-request"><day>1</day><month>April</month><year>2022</year></date>
           <date date-type="rev-recd"><day>6</day><month>July</month><year>2022</year></date>
           <date date-type="accepted"><day>18</day><month>July</month><year>2022</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2022 Martina Stockhause</copyright-statement>
        <copyright-year>2022</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/15/6047/2022/gmd-15-6047-2022.html">This article is available from https://gmd.copernicus.org/articles/15/6047/2022/gmd-15-6047-2022.html</self-uri><self-uri xlink:href="https://gmd.copernicus.org/articles/15/6047/2022/gmd-15-6047-2022.pdf">The full text article is available as a PDF file from https://gmd.copernicus.org/articles/15/6047/2022/gmd-15-6047-2022.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d1e88">The Data Distribution Centre (DDC) of the
Intergovernmental Panel on Climate Change (IPCC) celebrates its 25th
anniversary in 2022. The DKRZ (German Climate Computing Center; German: Deutsches Klimarechenzentrum) is the only remaining DDC Partner from the
original group jointly managing the DDC. In spite of changes in
prioritization, it has been supporting the IPCC Assessments and preserving the quality-assured, citable climate model data underpinning the
Assessment Reports over these years over the long term. An active and engaged collaborative
community achieved advances in data standardization, data management best
practices, and infrastructure developments. These evolving standards are
reflected in the activities of the DDC. The introduction of the IPCC FAIR
Guidelines into the current Sixth IPCC Assessment Report (AR6) has
significantly changed the role of the DDC Partner DKRZ from an independent
partner for long-term data preservation into an active partner involved in
the IPCC's Sixth Assessment cycle. As a result, the DDC has gained exposure and
visibility, posing a challenge and an opportunity to operationalize the IPCC's
FAIR Guidelines and long-term preservation approaches. While the value of
DDC services has been recognized, DDC sustainability remains unresolved and
is currently being discussed within the IPCC as part of a general AR6 review
process to formulate recommendations for the AR7 data management.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>History of TG-Data and the IPCC DDC</title>
      <p id="d1e100">The current Data Distribution Centre (DDC; <uri>https://ipcc-data.org/</uri>, last
access: 29 June 2022) of the Intergovernmental Panel on Climate Change
(IPCC) is jointly managed under a Memorandum of Understanding (Xing, 2021)
by four partners: the German Climate Computing Center (Deutsches Klimarechenzentrum, DKRZ, Germany), the
Center for International Earth Science Information Network (CIESIN, USA),
the Spanish Research Council (CSIC, Spain), and MetadataWorks (UK). The DKRZ is
the only remaining founding partner, and it has now been operating the DDC
for 25 years. The DDC is overseen by the Task Group on Data Support for
Climate Change Assessments (TG-Data; <uri>https://ipcc.ch/data</uri>, last access: 29 June 2022), which is a non-permanent part of the IPCC's structure (Fig. 1).
TG-Data member experts are complemented by ex officio members representing
the DDC Partners and the Technical Support Units (TSUs) of the three IPCC
Working Groups (WGs). The former UK DDC Partner Centre for Environmental Data
Analysis (CEDA) continues its contribution to the Sixth IPCC Assessment Report (AR6) with financial support
from the WGI TSU. The core role of the DDC is the support for IPCC authors
and users of data and scenarios underpinning IPCC outputs (see DDC Guidance;
IPCC, 2018a). The DDC makes special efforts to support users in developing
countries.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e111">IPCC structure (from IPCC web page).</p></caption>
        <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/15/6047/2022/gmd-15-6047-2022-f01.png"/>

      </fig>

      <p id="d1e120">The DDC was formally established at the Thirteenth Session of the IPCC
(IPCC-13) on 22 and 25–28 September 1997 in the Maldives (IPCC, 1997).
Deutsches Klimarechenzentrum (DKRZ) in Germany and the Climatic Research
Unit (CRU) in the United Kingdom were selected to execute shared DDC
operation, and the Finnish Meteorological Institute (FMI) was to contribute
guidance and training (see Fig. 2). During the Second Assessment Report
(SAR; IPCC, 1995) cycle, IPCC Working Group II (WGII) had requested to
lower the barriers to using data from future climate scenarios provided
by the Coupled Model Intercomparison Project (CMIP) of the World Climate
Research Programme (WCRP). At the IPCC Workshop on Regional Climate Change
Projections for Impact Assessment (London 24–26 September 1996) and
subsequent meetings of the established IPCC Task Group on Climate Scenarios
for Impact Assessment (TGCIA), requirements for data availability, data
standardization, and data quality together with the need for guidance
materials were formulated. TGCIA recommended the establishment of a DDC to
the IPCC Bureau in the same year. On 22 July 1997, the IPCC Bureau requested governments to nominate institutions to act as the DDC and to provide the
necessary financial support to establish and maintain the DDC function.</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="d1e126">IPCC DDC history and main achievements of the DDC Partner
DKRZ over the past 25 years (images from cover pages of the IPCC ARs
starting with SAR 1995).</p></caption>
        <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/15/6047/2022/gmd-15-6047-2022-f02.png"/>

      </fig>

      <p id="d1e135">The DDC Partners agreed that the DKRZ should be responsible for the global
climate model data related to CMIP, while the other DDC Partners took up the
responsibility for other datasets in support of the IPCC WGs. Atmospheric
near-surface variables were collected, aggregated and disseminated by the
DDC together with guidance material for the Third Assessment Report (TAR;
IPCC, 2001). After this successful operation of the DDC, the IPCC Bureau
received data requests from WGIII and WGI. WGIII's data request was similar
to that of WGII and could be integrated into the existing DDC service, while
WGI's data needs were more complex, requesting most of the CMIP datasets.
The Program for Climate Model Diagnosis &amp; Intercomparison (PCMDI)
accepted the establishment of the CMIP3 data archive in support of WGI. In
cooperation with the PCMDI, the DDC Partner DKRZ extracted the CMIP3 data subset
for WGII and WGIII from the CMIP3 archive for the Reference Data Archive of
the Fourth Assessment Report (AR4; IPCC, 2007). In the Fifth Assessment
Report (AR5; IPCC, 2013) cycle, increasing CMIP5 data volumes led to the
development of a federated data archive and the ESGF (Earth System Grid
Federation) data infrastructure. The European contribution was coordinated
by IS-ENES (Infrastructure for the European Network for Earth System
modelling). The DDC refocused on the long-term preservation of the CMIP5
data underpinning the AR5 by transferring the CMIP5 data at the WGI snapshot
date into the DDC AR5 Reference Data Archive. For nearly 2 decades, the
IPCC DDC has closely cooperated with the CMIP data infrastructure.</p>
      <p id="d1e138">The Task Group TGCIA was renamed the Task Group on Data and Scenario Support
for Impact and Climate Analysis (TGICA) in 2003. The TGICA developed a vision
paper in 2015 and described the challenges the TGICA was facing related to its
limited capacity to deliver on its mandate. The IPCC Panel decided to revise
the TGICA's mandate and to hold an IPCC Expert Meeting on the future of the TGICA
(IPCC, 2015, 2016). Vaughan (2016) summarizes the TGICA's challenges and
emphasizes that the TGICA needs to be strengthened to be able to contribute in
new ways to improve the access and use of climate data and scenarios for
research and decision-making through the DDC. A sharpened mandate, the clear
identification of specific goals, and a realistic sense of the resources
required to accomplish these goals are recommended. An IPCC Ad-hoc Task
Force TGICA took up the results from the IPCC Expert Meeting and formulated
revised Terms of Reference for the re-established Task Group on Data Support
for Climate Change Assessments (TG-Data) and a revised Guidance for the DDC,
which were approved at IPCC-47 in March 2018 (IPCC, 2018b). The focus of the
DDC was narrowed to data support tasks.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>The Reference Data Archive at the DDC at the DKRZ</title>
      <p id="d1e149">The DKRZ is the DDC Partner responsible for the long-term preservation of the
global climate model data provided by CMIP. Starting with the Second
Assessment Report (SAR; IPCC, 1995), core variables for the characterization
of the state of the earth system (Table A1 in Appendix A) from model
projection of the future climate were archived long-term at the DKRZ, building
the Reference Data Archives for the global climate model data underpinning
the IPCC's ARs.</p>
      <p id="d1e152">During data archiving, the data are stored on tape, and the metadata are
enriched and quality-assured to provide sufficient and high-quality
information for various downstream users without specific knowledge of
climate model applications. Added metadata include context information on
projects, experiments, and models as well as discovery information on
spatial-temporal coverage, parameters, and contact information. In the SAR, this
information was gathered mostly from the data providers by the DDC. With the
increasing level of organization and standardization of CMIP, this
labor-intensive and non-standardized metadata gathering from data providers
could be partially replaced by machine access of CMIP resources, e.g.,
accessing the ESGF index.</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="d1e157">Size development of the DDC Reference Data Archive for the
global climate model data.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/15/6047/2022/gmd-15-6047-2022-f03.png"/>

      </fig>

      <p id="d1e167">The size of the Reference Data Archives for the different ARs increased from
around 10 GB and 400 datasets for SAR and TAR to ca. 1 TB and 1500
datasets for AR4 and then to 1.7 PB and 910 000 datasets for AR5 (Fig. 3). The reasons are an increased number of archived variables per model run,
an increased number of models participating in CMIP, and the inclusion of
daily and sub-daily data in addition to monthly data. In collaboration with
the NCAR (National Center for Atmospheric Research), a subset of data
underpinning the FAR was rescued from the NCAR's data archive in the original
formats and added to the DDC in 2008. Because of the low level of
standardization, these datasets are difficult to (re-)use. Data underpinning
the IPCC Special Report on Global Warming of 1.5 <inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C (SR1.5; IPCC,
2018c) were transferred into the DDC Reference Archive in 2018. The archiving
of the CMIP6 data subset underpinning the AR6 is ongoing. Download
statistics show the long-term interest of users in the DDC Reference Data
(Fig. 4).</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="d1e181">Downloads in number of datasets (counts) and data volume (GB)
from the DDC Reference Data Archive over the last 5 years per Assessment
Report (FAR is left out because of the incomplete Reference Archive and AR6
including SR1.5 because of the ongoing data archiving; Stockhause, 2022).</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/15/6047/2022/gmd-15-6047-2022-f04.png"/>

      </fig>

      <p id="d1e190">As a DDC Partner, the DKRZ has committed to ensuring its DDC data remain
accessible and reusable over the long term, which involves cyclic renewal of
hardware, continuous maintenance of software, and metadata and data
curation. A copy of the DDC data is stored off-site at the Max Planck
Computing and Data Facility (MPCDF) in Garching, Germany. New generations of
hardware (tape system), for example, require the copying of the DDC data
holdings on new cartridges. Software updates for data discovery, access, and
exchange are required to comply with new standards and interfaces in order
to enhance the user experience and to meet evolving user needs. An example
for a metadata curation measure was the addition of Climate and Forecast
(CF) standard names to the metadata of the DDC SAR and TAR Reference Data
Archives. To overcome the data volume barrier for DDC data reuse of IPCC
users located in developing countries with low internet bandwidths, the DDC
introduced a service whereby users can order a set of preselected variables
for seven regions on DVD and USB devices.</p>
      <p id="d1e193">The DKRZ adjusted to evolving best practices for data management. The DKRZ
long-term data archive including the IPCC DDC Reference Data Archive was
approved in 2003 as WDC Climate (WDCC) by the ICSU World Data Center system.
The DKRZ became a Regular Member of the ISC World Data System (WDS;
<uri>https://www.worlddatasystem.org/</uri>, last access: 29 June 2022) in 2008, the
year of the WDS's establishment. Therefore, the DDC Partner DKRZ complies with
the WDS's common research repository standards. With the founding of DataCite in
2009, registering data DOIs in order to make data citable became a community
expectation, which was taken up by the DDC Partner DKRZ for the AR5
Reference Data Archive published in 2013 and 2014. The long-term archiving of
AR5 provided further major changes in the workflow due to the extremely high
data volume and several changes in the CMIP5 data infrastructure
(<uri>https://pcmdi.llnl.gov/mips/cmip5/</uri>, last access: 29 June 2022; Taylor et
al., 2012):
<list list-type="bullet"><list-item>
      <p id="d1e204">The data were disseminated by the newly developed federated and decentralized
infrastructure of the Earth System Grid Federation (ESGF;
<uri>https://esgf.llnl.gov</uri>, last access: 29 June 2022; Williams et al., 2016).</p></list-item><list-item>
      <p id="d1e211">Detailed model and experiment documentations were gathered from the CMIP5
participants by the Earth System Documentation project (ES-DOC;
<uri>https://es-doc.org</uri>, last access: 29 June 2022: Lawrence et al., 2012).</p></list-item><list-item>
      <p id="d1e218">A three-level quality control procedure (CMIP5 QC;
<uri>https://cmip5qc.wdc-climate.de</uri>, last access: 29 June 2022) was applied to
ensure basic data quality, the consistency of metadata, and metadata
conformance with community standards like NetCDF/CF and project standards
like the Data Reference Syntax (DRS). Passing the three quality control
levels was the prerequisite for the acceptance by the IPCC DDC for the IPCC
AR5 Data Reference Archive (Stockhause et al., 2012).</p></list-item></list>
The size of the CMIP5 data archive required a high level of automation for
metadata and data ingestion as well as for the quality control checks. New
interfaces to the infrastructure components ESGF, ES-DOC, and DataCite had to
be developed for insertion of use and discovery metadata and data DOI
registration. The DDC AR5 data archived long-term were made searchable and
accessible through the ESGF, which has become the standard infrastructure
for climate-related data. ETH Zurich collected a CMIP5 data subset in
support of the IPCC AR5 authors in an alternate data structure. Due to
difficulties relating the individual datasets back to the CMIP5 reference
datasets, the DDC AR5 Reference Data Archive was supplemented by an IPCC
Working Group I AR5 snapshot. Discussions with the ETH Zurich provided
valuable input for the IPCC FAIR Guidelines adopted for AR6 and the
long-term archiving of the CMIP6 input data in the DDC.</p>
      <p id="d1e225">The DDC relies in its efforts and services on data provided by CMIP6
participants and on the standardization community efforts of several
organizations and institutions. The PCMDI led the AMIP and CMIP data
standardization, and other groups worked on the NetCDF/CF data standard
(<uri>https://cfconventions.org</uri>, last access: 29 June 2022), the CoreTrustSeal
research repository standard (<uri>https://www.coretrustseal.org/</uri>, last access:
29 June 2022), or the DataCite DOI data publishing standard.</p>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>AR6 and the IPCC FAIR Guidelines</title>
      <p id="d1e242">The TGICA was under review of the IPCC from the start of the Sixth Assessment
Cycle in January 2016 until the re-established TG-Data held its first
meeting in November 2019. This was a little less than a year prior to the
original WGI literature and data cut-off date of 30 September 2020, which
was postponed to 31 January 2021 due to the COVID-19 pandemic. The lack of
the coordinating task group hampered the formulation and implementation of
the FAIR Guidelines for the Sixth Assessment Report (AR6).</p>
      <p id="d1e245">The idea for adopting the FAIR Guidelines was born during the IPCC Expert
Meeting on the future of the TGICA in January 2016. The aim was to enhance the
transparency of the IPCC AR6 and thereby contribute to the IPCC's integrity. The
IPCC FAIR Guidelines implement the established data management principles of
FAIR (Findable, Accessible, Interoperable, Reusable; Wilkinson et al., 2016)
for data and TRUST (Transparency, Responsibility, User Focus,
Sustainability, Technology; Lin et al., 2020) for repository operations into
the Sixth Assessment cycle. The FAIR data principles describe requirements
for datasets to become an integral part of the research environment. The
TRUST principles for repositories and their implementation in the
CoreTrustSeal complement these essential data properties by best practices
for repository operations in long-term data preservation and data
stewardship.</p>
      <p id="d1e248">The development of the FAIR Guidelines started at the First IPCC AR6 Data
Workshop in Hamburg, Germany, 19–20 September 2017 (Stockhause et al., 2017)
and continued at the second virtual meeting on 20 February 2018. In
collaboration with the WDS, which started at the Data Repository Day 2018
(World Data System, 2018), the FAIR Guidelines concept was formulated in Stockhause et al. (2019). This concept was discussed with IPCC authors of WGI and WGII at the
IPCC Expert Meeting on assessing climate information for regions in Trieste,
16–18 May 2018 (IPCC, 2018d). The implementation of the FAIR Guidelines into
tools supporting the authors was the topic of a WGI training on data and
software development in Oberpfaffenhofen, Germany, 6–7 June 2019 (IPCC,
2019). An early draft of the FAIR Guidelines was formally approved by
TG-Data at its first meeting in Montreal, Canada, 6–8 November 2019, and the
official version 1.0 was adopted by TG-Data in a virtual meeting in 2022.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e254">Schematic vision of the bidirectional references between report,
input data, and final datasets in IPCC AR6 enabling users to navigate among
these AR6 results (screenshots from IPCC, CEDA, and DKRZ web pages).</p></caption>
        <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/15/6047/2022/gmd-15-6047-2022-f05.png"/>

      </fig>

      <p id="d1e263">The IPCC FAIR Guidelines (Pirani et al., 2022) call for increased attention
to three aspects.
<list list-type="bullet"><list-item>
      <p id="d1e268"><italic>Traceability of key statements and of figure and table creation</italic>.
Information on input datasets like CMIP6 (Eyring et al., 2016), final data
displayed in figures, and analysis scripts generating the figures are
collected from the authors by the WGI AR6 TSU. This information is recorded
for every figure as part of the Supplement associated with each
chapter. Moreover, bidirectional references between the digital AR6, final
datasets, and input datasets will enable users to navigate between these AR6
products (Fig. 5).</p></list-item><list-item>
      <p id="d1e274"><italic>Credit for input data</italic>. input datasets used by the authors are
cited in the AR6 in compliance with Good Scientific Practices (Deutsche Forschungsgemeinschaft, 2019).
In the case of CMIP6 data, data citation is required by the Creative Commons
licenses (CC; <uri>https://creativecommons.org/</uri>, last access: 29 June 2022),
under which CMIP6 data were published. CMIP6 data are cited in a summarized
form in Appendix II of the WGI AR6
(<uri>https://www.ipcc.ch/report/sixth-assessment-report-working-group-i/</uri>, last
access: 29 June 2022; IPCC, 2021), the provenance metadata of the IPCC WGI
Interactive Atlas (<uri>https://interactive-atlas.ipcc.ch/</uri>, last access: 29 June 2022), and for each figure in the Supplement.</p></list-item><list-item>
      <p id="d1e289"><italic>Long-term preservation of input data, scripts, and final data</italic>.
the information, scripts, and final datasets collected by the WGI TSU are
transferred to the designated repository for long-term preservation. DOI
registration makes the data and scripts citable and enables data users to
give credit to chapter scientists for them. In the case of CMIP6, the TSU
compiled dataset lists for the DDC Partner DKRZ based on the data usage
information collected from the authors. For long-term data archiving, the
listed CMIP6 datasets are replicated, use metadata are accessed from the
ESGF, and further documentations are accessed from the Citation Service (Stockhause and
Lautenschlager, 2017) and if available from ES-DOC (Pascoe et al., 2020).
The long-term archival workflow is depicted in Fig. 6.</p></list-item></list>
The implementation of the IPCC FAIR Guidelines required a close cooperation
between WGI TSU and the DDC Partners and relied on the CMIP6 infrastructure
partners and information provided by the CMIP6 participants as well as on
the information compiled by the IPCC authors.</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="d1e297">CMIP6 input data archival workflow to build the DDC AR6 Reference
Data Archive.</p></caption>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/15/6047/2022/gmd-15-6047-2022-f06.png"/>

      </fig>

</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Changed role of the DDC Partner DKRZ in AR6</title>
      <p id="d1e314">The implementation of the FAIR Guidelines expanded the role of the DDC
Partner DKRZ from a responsibility limited to a long-term data archive,
operating mostly independently of WGI and the assessment cycle, to a more
active partner with an enhanced role within the Sixth Assessment cycle.
Close cooperation was required with the WGI TSU to formulate and implement
the FAIR Guidelines. Thus, DDC Managers participated in the IPCC Expert
Meeting on Assessing Climate Information for Regions in May 2018 and jointly
organized the WGI Training on Data and Software Development in June 2019
together with the WGI TSU. Advice based on the DDC's long experience in data
management was provided for gathering the necessary information on data
usage required of the authors, best practices in data citation, and the
definition of machine-actionable interfaces. The DDC Manager at the DKRZ joined
the WGI AR6 authors as contributing author and reviewed the First-Order Draft and Second-Order Draft of the report to provide expert advice on data management
aspects.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><?xmltex \currentcnt{7}?><?xmltex \def\figurename{Figure}?><label>Figure 7</label><caption><p id="d1e319">Virtual Workspaces provided by CEDA and the DKRZ for IPCC AR6
authors (co-funded by IS-ENES).</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://gmd.copernicus.org/articles/15/6047/2022/gmd-15-6047-2022-f07.png"/>

      </fig>

      <p id="d1e328">This active role of the DDC in AR6 increased the DDC's visibility and
resulted in requests for further support of the IPCC author teams during the
preparation of the AR6. The DDC Partner DKRZ and former DDC Partner CEDA
provided Virtual Workspaces (Stockhause, 2020; Fig. 7) for the authors
co-funded by the EU project Infrastructure for the European Network for the
Earth System Modelling (IS-ENES; <uri>http://is.enes.org</uri>, last access: 29 June 2022). These collaboration platforms provided storage and compute resources
for the chapter author groups together with access to requested core
datasets and common software packages. Moreover, the DKRZ supported the
technical aspects of the ESMValTool (<uri>https://www.esmvaltool.org/</uri>, last
access: 29 June 2022; Eyring et al., 2020) development and hosts the web page
with CMIP evaluation results. On the national level, the DDC Manager at the DKRZ
joined the authors' subgroup of the German IPCC Coordination Office
(<uri>https://www.de-ipcc.de/</uri>, last access: 29 June 2022) as German contributor
to the IPCC AR6.</p>
      <p id="d1e341">During implementation of the FAIR Guidelines, questions arose that had to be
solved with the IPCC Bureau. One of these involved the original licenses
modeling groups attached to their CMIP6 data, which were too restrictive
for a general reuse of IPCC data products, e.g., final data or Atlas data.
The IPCC had to ask the CMIP6 participants through the Working Group on
Coupled Modelling (WGCM) for an exemption of the CMIP6 data licenses. As
representatives of TG-Data, DDC Partner DKRZ and former DDC Partner CEDA
were responsible for helping to ensure that IPCC technical requirements were
met by the CMIP infrastructure being developed under the coordination of the
WGCM Infrastructure Panel (WIP; <uri>https://www.wcrp-climate.org/wgcm-cmip/wip</uri>,
last access: 29 June 2022) and contributed data aspects to the IPCC Informal
Group on Publications.</p>
      <p id="d1e347">Independent of the FAIR Guidelines, the DDC Partners intensified their
collaboration. The new UK DDC Partner MetadataWorks set up a joint DDC
catalogue to improve the discovery of DDC data holdings. The DKRZ's DDC
Manager contributed to the development of the DDC's profile of the Data
Catalog Vocabulary standard (W3C DCAT; <uri>https://www.w3.org/TR/vocab-dcat-3/</uri>,
last access: 29 June 2022) and provided the metadata of its Reference Data
Archive in December 2021. A central DDC help desk was set up to coordinate
the DDC user support. The revision of the DDC web pages is ongoing with the
aim of retiring outdated pages and refocusing the content on IPCC-related
data, as called for under the renewed DDC Guidance.</p>
</sec>
<sec id="Ch1.S5">
  <label>5</label><title>Position of the DDC within the climate infrastructure and role of CMIP6
for the AR6 cycle</title>
      <p id="d1e362">All of the IPCC Assessments have heavily drawn on the latest climate change
research provided by the WCRP CMIP project. The core work of IPCC authors is
the assessment of the latest peer-reviewed literature. CMIP data were used
in the peer-reviewed literature and more directly for the creation of
several IPCC report figures. With the introduction of the IPCC FAIR
Guidelines, the dependency on CMIP-related literature and CMIP data were
complemented by the dependency on CMIP6 infrastructure components (Petrie et
al., 2021) and further DDC support activities (see Sect. 4). For CMIP6,
the WIP was formed by WGCM in 2014 to coordinate the development of the CMIP
infrastructure across multiple institutions and agencies. The
standardization of CMIP6 data is important for the reusability of the data.
This includes compliance to the NetCDF/CF standard and specific file name
conventions, a uniform directory structure, and the collection and
dissemination of the CMIP6 Controlled Vocabularies (CMIP6-CVs;
<uri>https://github.com/WCRP-CMIP/CMIP6_CVs</uri>, last access: 29 June 2022; Taylor et al., 2018).</p>
      <p id="d1e368">The necessary infrastructure components include the data infrastructure
Earth System Grid Federation (ESGF; Williams et al., 2016; Cinquini et al.,
2014), which disseminates the data and provides use metadata and references
to further information like data citation through its index. The CMIP6
Citation Service (<uri>http://cmip6cite.wdc-climate.de</uri>, last access: 29 June 2022; Stockhause and Lautenschlager, 2017) contributes data references and
the discovery metadata gathered in the CMIP6-CVs to the long-term data
archiving (Stockhause et al., 2015) and thus links the data infrastructure to
the long-term data preservation of the CMIP6 data subset in the DDC AR6
Reference Data Archive.</p>
      <p id="d1e374">Apart from these necessary infrastructure components, ES-DOC provides
detailed information on models, experiments, and errata for further metadata
enrichment in the DDC Reference Data Archive. The Citation Service succeeded
in having full data citation coverage for all datasets published in the ESGF
in the literature and the data cut-off date for WGI AR6 on 31 January 2021,
whereas the coverages of ES-DOC model descriptions and errata information
are low. That means that the Citation Service and DDC mostly rely on the
brief model descriptions in the CMIP6-CV provided by the CMIP6 participants
during the registration process.</p>
      <p id="d1e377">The agreed data standards and the high volume of the contributed data
require thorough quality checks by the participants to ensure compliance and
quality of the CMIP6 data. The conformance with the NetCDF/CF and the
additional project metadata rules is automatically checked during ESGF data
publication. The DDC complements them by metadata compliance and consistency
checks.</p>
      <p id="d1e381">At the same time, the DDC contributes unique services for the international
climate community:
<list list-type="order"><list-item>
      <p id="d1e386">The DDC is the only data provider with a long-term commitment for data
preservation and data services; it ensures that data will remain FAIR over
time. Neither the ESGF data nodes nor the Copernicus Climate Data Store
(CDS; <uri>https://cds.climate.copernicus.eu/</uri>, last access: 29 June 2022) has
made such a commitment. Their focus lies on serving recent climate data.</p></list-item><list-item>
      <p id="d1e393">The DDC preserves the data underpinning key statements of the Assessment
Reports and thus the data on which several political decisions are based.
The CMIP data subset in the DDC contains the scientific information and
therefore is essential to trace back these decisions to the scientific
basis.</p></list-item><list-item>
      <p id="d1e397">As part of the IPCC Assessment process, the DDC reference climate data are
quality-assured, enriched with metadata, and made citable for their reusability
by a variety of current and future applications.</p></list-item><list-item>
      <p id="d1e401">The DDC supports the IPCC authors and the IPCC TSUs during the Assessment
cycles.</p></list-item></list>
The DDC's data services need to be integrated not only in the IPCC AR6 products
but also in the landscape of climate data infrastructures. Examples are the
data provision through well-established domain data catalogs like the ESGF
and through cross-domain infrastructures like the DataCite, the European
Open Science Cloud (EOSC; <uri>https://eosc.eu/</uri>, last access: 29 June 2022), and
the Nationale Forschungsdateninfrastruktur (NFDI; <uri>https://www.nfdi.de/</uri>, last
access: 29 June 2022). Technical integration requires the exchange of
standardized metadata and the implementation of standard interfaces, which
are developed by the international organizations including W3C, ISO,
Research Data Alliance (RDA), WDS, CODATA, Open Geospatial Consortium (OGC),
and the Coalition for Publishing Data in the Earth and Space Sciences
(COPDESS). The FAIR Digital Object Framework concept (De Smedt et al., 2020)
provides guidance for the future interoperability of data and other digital
objects. However, the most important collaboration partners for the DDC
Partner DKRZ are CMIP, the WIP, ESGF, IS-ENES, and further CMIP
infrastructure partners. Through these collaborations, the DDC contributes
its experiences to the CMIP future design.</p>
</sec>
<sec id="Ch1.S6" sec-type="conclusions">
  <label>6</label><title>Conclusion and perspectives</title>
      <p id="d1e419">The IPCC DDC has provided quality-assured, citable IPCC-relevant reference
climate data for all IPCC Assessment Reports and has supported the IPCC
Assessments over the 25 years of its existence. The specific role of the DDC
has changed in order to adjust to evolving data management standards and
evolving requirements from IPCC WGs. Furthermore, the responsibilities of
the DDC Partner DKRZ have been adapted to developments in the CMIP6
infrastructure, which provides the data and documentation for the DDC's
Reference Data Archive. The DDC's data holdings provide valuable ancillary
information for IPCC Assessment Reports. AR6 marked a major change: the role
of the DDC turned from maintaining an independent long-term data archive
into providing general data services for the IPCC. At the same time,
adoption of the IPCC FAIR Guidelines significantly enhanced the transparency
of AR6 key findings. Their implementation posed a challenge to all partners:
WGI TSU, IPCC authors, and the DDC Partners. Data usage documentation in AR6
and long-term archiving of related input and final datasets enable the
traceability of results and the reuse of datasets. Long-term preservation of
the data in the DDC ensures data availability and traceability in the
long-term. Still, the DDC AR6 data archive remains incomplete, especially in the
long-term preservation of input datasets. This gap was identified by the DDC
Partners in 2020 as one of several areas for future improvements:
<list list-type="order"><list-item>
      <p id="d1e424">exhaustive IPCC data archiving;</p></list-item><list-item>
      <p id="d1e428">improved global data access (e.g., compute service for reduction in data
transfer volume to support DDC users in developing countries and support for
users from various domains);</p></list-item><list-item>
      <p id="d1e432">data discovery;</p></list-item><list-item>
      <p id="d1e436">machine-accessible DDC data;</p></list-item><list-item>
      <p id="d1e440">regional to local data and data services;</p></list-item><list-item>
      <p id="d1e444">sustaining DDC Partners;</p></list-item><list-item>
      <p id="d1e448">collaboration with data infrastructure networks, e.g., RDA, WDS, or CODATA;</p></list-item><list-item>
      <p id="d1e452">collaboration with cognate data providers, e.g., IPBES.</p></list-item></list>
Some of these gaps have been filled with the limited DDC resources, like the
collaboration aspects (gaps 7 and 8) or the data discovery issue (gap 3)
with the establishment of the joint DDC catalogue, but the remaining gaps
require funding and are related to the missing long-term strategy for the
DDC (gap 6).</p>
      <p id="d1e456">The current DDC Partner funding is provided by their IPCC member states for
each Assessment cycle. In Germany, the DDC was funded as part of research
projects supporting the German contribution to CMIP and enabled the DDC to
add the Reference Data Archive for each AR cycle. DDC operations and
management are an in-kind contribution from the DKRZ. Thus, long-term data
preservation and maintenance of the DDC data services rely on voluntary
contributions from institutions and individuals. National and institutional
funders of the DDC as an international service expect other nations to share
in the costs. A new joint international funding approach for core data
services and infrastructure components of the DDC is required.</p>
      <p id="d1e459">TG-Data has targeted the DDC's sustainability as part of its AR6 review process
with the aim to formulate recommendations for the AR7 data management.
IPCC-internal options for DDC funding are that
<list list-type="order"><list-item>
      <p id="d1e464">IPCC members fund DDC Partners for an Assessment cycle,</p></list-item><list-item>
      <p id="d1e468">IPCC members contribute to a DDC fund, or</p></list-item><list-item>
      <p id="d1e472">IPCC members funding WG TSUs also fund the associated DDC Partner.</p></list-item></list>
The DDC Partner funding for an Assessment cycle (1) is problematic since
data from the departing DDC Partner are to be transferred to the replacing
DDC Partner, and the experience of the DDC Partner in IPCC processes and
procedures is cyclically lost. The data volume of the Reference Data
Archives of the DDC Partner DKRZ is high (see Fig. 3), and the transfer is
time-consuming and expensive without adding any value. Furthermore, the
important collaboration with CMIP6 and the various infrastructure partners
must be re-established by the new DDC Partner. Optimistically, this option
will cause further significant but avoidable costs, and, pessimistically, it
is or will become impractical. Both option 2 and 3 can fund the addition of
data for a new Assessment cycle to the DDC Reference Data Archive, but only
option 2 can additionally support the long-term aspects of data preservation
and the provision of customized data services. Option 3 could pose a problem
for the IPCC as it further increases the already high costs associated with
a TSU and might discourage IPCC members from nominating a co-chair for a WG.
Option 2 requires panel involvement and therefore may not yet be available
for AR7.</p>
      <p id="d1e476">External funding resources are restricted to public funders to protect
the IPCC's integrity. There are few international funders like the Belmont
Forum. International organizations are in a similar situation to the IPCC
and can offer letters of support, but rarely financial support. For example,
the WMO expressed its support for CMIP and the IPCC and emphasized the
importance of data and infrastructure in a press release (World Meteorological Organization, 2019).
Regarding the IPCC DDC, the German Minister of Education and Research, Bettina Stark-Watzinger, as representative of the German government, explicitly
mentioned Germany's involvement in the IPCC DDC and the importance of data
for the IPCC process at the opening of the 55th Session of the IPCC and
12th Session of WGII on 10 February 2022 (IPCC, 2022). The value of
data as a scientific asset and the importance of open data has been recognized
by several international organizations. In “The Beijing Declaration on
Research Data”, CODATA emphasizes the importance of the broad
reuse of data to address global challenges and recognize the enormous
challenge in the interoperability of data and responsible stewardship (CODATA et al., 2019). UNESCO states in its “Recommendations on Open Science” (UNESCO, 2021) that
non-commercial infrastructures should facilitate ensuring the long-term
preservation, stewardship, and community control of research products
including data. It recommends supporting these open infrastructures by
direct funding and through an earmarked percentage of each funded grant.</p>
      <p id="d1e480">This increased awareness of the importance of data as valuable scientific
assets that need to be preserved and served to various stakeholders over the
long term facilitates the discussion on sustainable funding for the DDC.</p>
</sec>

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

<app id="App1.Ch1.S1">
  <?xmltex \currentcnt{A}?><label>Appendix A</label><title>Core variables of the Reference Data Archive</title>

<?xmltex \floatpos{h!}?><table-wrap id="App1.Ch1.S1.T1"><?xmltex \currentcnt{A1}?><label>Table A1</label><caption><p id="d1e497">Core variables of the Reference Data Archive in CF standard name convention.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="1">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">air_pressure_at_sea_level</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">air_temperature</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">convective_precipitation_flux</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">dew_point_temperature</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">geopotential_height</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">global_average_thermosteric_sea_level_change</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">land_area_fraction</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">land_ice_area_fraction</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">large_scale_precipitation_flux</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">precipitation_flux</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">relative_humidity</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">sea_ice_amount</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">snowfall_amount</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">soil_moisture_content</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">specific_humidity</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">surface_altitude</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">surface_net_downward_shortwave_flux</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">surface_sensible_heat_flux</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">surface_downwelling_shortwave_flux_in_air</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">surface_snow_area_fraction</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">surface_snow_melt_flux</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">surface_snow_thickness</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">surface_temperature</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">water_evaporation_rate</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">wind_speed</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">x_wind</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">y_wind</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</app>
  </app-group><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e680">No datasets were used in this article.</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e686">MS wrote the manuscript draft, and ML reviewed and contributed to the
manuscript.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e692">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="d1e698">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="d1e704">We thank Tim Carter (former co-chair of IPCC TGICA, Finnish Environment
Institute SYKE), who generously answered questions and shared unpublished
materials about the early days of the IPCC DDC and TGCIA; Anna Pirani (head
of IPCC WGI TSU) for the coordination of the formulation and FAIR Guidelines
and their implementation in the AR6 WGI; and the DDC Partners, the WG TSUs
(especially the WGI TSU colleagues), and the TG-Data members for their contributions
to the IPCC FAIR Guidelines. Special thanks go to the reviewers Karl Taylor,
Paul Durack, and David Huard for their rich comments and valuable
suggestions for improving the manuscript.</p><p id="d1e706">The DDC Partner DKRZ has been funded by the Bundesministerium für
Bildung und Forschung (BMBF) through several research grants. IS-ENES and
the US Department of Energy (DOE) have supported the ESGF and further CMIP
services. The IS-ENES3 project has received funding from the European
Union's Horizon 2020 research and innovation program under grant agreement
no. 824084.</p></ack><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e711">This paper was edited by Riccardo Farneti and David Ham, and reviewed by David Huard, Paul Durack, and Karl E. Taylor.</p>
  </notes><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><?label 1?><mixed-citation>Cinquini, L., Crichton, D., Mattmann, C., Harney, J., Shipman,
G., Wang, F., Ananthakrishnan, R., Miller, N., Denvil,
S., Morgan, M., Pobre, Z., Bell, G. M., Doutriaux, C.,
Drach, R., Williams, D., Kershaw, P., Pascoe, S., Gonzalez,
E., Fiore, S., and Schweitzer, R.: The Earth System Grid
Federation: An open infrastructure for access to distributed geospatial
data, Future Generation Computer Systems, 36, 400–417,
ISSN 0167-739X, <ext-link xlink:href="https://doi.org/10.1016/j.future.2013.07.002" ext-link-type="DOI">10.1016/j.future.2013.07.002</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><?label 1?><mixed-citation>CODATA, Committee on Data of the International Science Council, CODATA
International Data Policy Committee, CODATA, and CODATA China High-level
International Meeting on Open Research Data Policy and Practice, Hodson, S.,
Mons, B., Uhlir, P., and Zhang, L.: The Beijing Declaration on Research
Data, Zenodo, <ext-link xlink:href="https://doi.org/10.5281/zenodo.3552330" ext-link-type="DOI">10.5281/zenodo.3552330</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><?label 1?><mixed-citation>De Smedt, K., Koureas, D., and Wittenburg, P.: FAIR Digital
Objects for Science: From Data Pieces to Actionable Knowledge Units,
Publications 2020, MDPI, 8, 21,
<ext-link xlink:href="https://doi.org/10.3390/publications8020021" ext-link-type="DOI">10.3390/publications8020021</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><?label 1?><mixed-citation>Deutsche Forschungsgemeinschaft: Guidelines for Safeguarding Good Research
Practice, Code of Conduct, Zenodo, <ext-link xlink:href="https://doi.org/10.5281/zenodo.3923602" ext-link-type="DOI">10.5281/zenodo.3923602</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><?label 1?><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.bib6"><label>6</label><?label 1?><mixed-citation>Eyring, V., Bock, L., Lauer, A., Righi, M., Schlund, M., Andela, B., Arnone, E., Bellprat, O., Brötz, B., Caron, L.-P., Carvalhais, N., Cionni, I., Cortesi, N., Crezee, B., Davin, E. L., Davini, P., Debeire, K., de Mora, L., Deser, C., Docquier, D., Earnshaw, P., Ehbrecht, C., Gier, B. K., Gonzalez-Reviriego, N., Goodman, P., Hagemann, S., Hardiman, S., Hassler, B., Hunter, A., Kadow, C., Kindermann, S., Koirala, S., Koldunov, N., Lejeune, Q., Lembo, V., Lovato, T., Lucarini, V., Massonnet, F., Müller, B., Pandde, A., Pérez-Zanón, N., Phillips, A., Predoi, V., Russell, J., Sellar, A., Serva, F., Stacke, T., Swaminathan, R., Torralba, V., Vegas-Regidor, J., von Hardenberg, J., Weigel, K., and Zimmermann, K.: Earth System Model Evaluation Tool (ESMValTool) v2.0 – an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP, Geosci. Model Dev., 13, 3383–3438, <ext-link xlink:href="https://doi.org/10.5194/gmd-13-3383-2020" ext-link-type="DOI">10.5194/gmd-13-3383-2020</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><?label 1?><mixed-citation>
IPCC: Climate Change 1995: The Scientific of Climate Change. Contribution of
Working Group I to the Second Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Houghton, J. T., Meira Filho, L. G., Callander, B. A., Harris,
N., Kattenberg, A., and Maskell, K., Cambridge University
Press, Cambridge, United Kingdom and New York, NY, USA, ISBN 0 521 56433 6, 1995.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><?label 1?><mixed-citation>IPCC: Report of the thirteenth session of the IPCC, Maldives, 22, 25–28
September 1997,
<uri>https://www.ipcc.ch/site/assets/uploads/2018/05/thirteenth-session-report.pdf</uri>
(last access: 29 June 2022), 1997.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><?label 1?><mixed-citation>
IPCC: 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, United Kingdom and New York, NY, USA, 881 pp., ISBN 0521 80767 0, 2001.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><?label 1?><mixed-citation>
IPCC: Climate Change 2007: The Physical Science Basis. Contribution of
Working Group I to the Fourth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Solomon, S., Qin, D., Manning, M., Chen, Z.,
Marquis, M., Averyt, K. B., Tignor, M. and Miller, H. L., Cambridge
University Press, Cambridge, United Kingdom and New York, NY, USA, 996 pp., ISBN 978-0-521-88009-1,
2007.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><?label 1?><mixed-citation>
IPCC: Climate Change 2013: The Physical Science Basis. Contribution of
Working Group I to the Fifth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen,
S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M.,
Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA,
1535 pp., ISBN 978-1-107-05799-9, 2013.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><?label 1?><mixed-citation>IPCC: 41st Session of the IPCC, 24–27 February 2015, Nairobi, Kenya,
Decisions adopted by the Panel,
<uri>https://www.ipcc.ch/site/assets/uploads/2018/05/p41_decisions.pdf</uri> (last access: 29 June 2022), 2015.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><?label 1?><mixed-citation>IPCC: Expert Meeting on the Future of the Task Group on Data and Scenario
Support for Impact and Climate Analysis (TGICA), 26–27 January 2016, Geneva,
<uri>https://www.ipcc.ch/site/assets/uploads/2018/05/EMR_TGICA_Future.pdf</uri> (last access: 29 June 2022), 2016.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><?label 1?><mixed-citation>IPCC: Guidance for the core functions of the IPCC Data Distribution Centre
(DDC),
<uri>https://www.ipcc.ch/site/assets/uploads/2018/12/Guidance_DDC.pdf</uri> (last access: 29 June 2022), 2018a.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><?label 1?><mixed-citation>IPCC: Report of the forty-seventh session of the IPCC, Paris, France, 13–16 March 2018,
<uri>https://www.ipcc.ch/site/assets/uploads/2018/03/final_report_p47.pdf</uri> (last access: 29 June 2022), 2018b.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><?label 1?><mixed-citation>IPCC: Summary for Policymakers, in: Global Warming of 1.5 <inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C. An
IPCC Special Report on the impacts of global warming of 1.5 <inline-formula><mml:math id="M3" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C
above pre-industrial levels and related global greenhouse gas emission
pathways, in the context of strengthening the global response to the threat
of climate change, sustainable development, and efforts to eradicate poverty,
edited by: Masson-Delmotte, V., Zhai, P., Pörtner, H.-O., Roberts, D., Skea, J.,
Shukla, P. R., Pirani, A., Moufouma-Okia, W., Péan, C., Pidcock, R., Connors, S., Matthews,
J. B. R., Chen, Y., Zhou, X., Gomis, M. I., Lonnoy, E., Maycock, T.,
Tignor, M., and Waterfield, T., Cambridge University Press, Cambridge, UK
and New York, NY, USA,  3–24, <ext-link xlink:href="https://doi.org/10.1017/9781009157940.001" ext-link-type="DOI">10.1017/9781009157940.001</ext-link>,
2018c.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><?label 1?><mixed-citation>IPCC: Expert Meeting on Assessing Climate Information for Regions, Trieste,
Italy, 16–18 May 2018,
<uri>http://www.ipcc.ch/apps/eventmanager/documents/52/120920180323-INF5EM-Regions.pdf</uri>
(last access: 29 June 2022), 2018d.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><?label 1?><mixed-citation>IPCC: Working Group I Training on Data Access and Software Development,
Oberpfaffenhofen, Germany, 6–7 June 2019,
<uri>https://www.ipcc.ch/event/wgi-training-on-data-and-software-development/</uri>
(last access: 29 June 2022), 2019.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><?label 1?><mixed-citation>IPCC: Climate Change 2021: The Physical Science Basis. Contribution of
Working Group I to the Sixth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A.,
Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang,
M., Leitzell, K., Lonnoy, E., Matthews, J. B. R., Maycock, T. K.,
Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., Cambridge University
Press, in press, <ext-link xlink:href="https://doi.org/10.1017/9781009157896" ext-link-type="DOI">10.1017/9781009157896</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><?label 1?><mixed-citation>IPCC: 55th Session of the IPCC, Opening Ceremony, 14 February 2022, <uri>https://www.youtube.com/watch?v=00_0udBrw_w</uri>, last access: 29 June 2022.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><?label 1?><mixed-citation>Lawrence, B. N., Balaji, V., Bentley, P., Callaghan, S., DeLuca, C., Denvil, S., Devine, G., Elkington, M., Ford, R. W., Guilyardi, E., Lautenschlager, M., Morgan, M., Moine, M.-P., Murphy, S., Pascoe, C., Ramthun, H., Slavin, P., Steenman-Clark, L., Toussaint, F., Treshansky, A., and Valcke, S.: Describing Earth system simulations with the Metafor CIM, Geosci. Model Dev., 5, 1493–1500, <ext-link xlink:href="https://doi.org/10.5194/gmd-5-1493-2012" ext-link-type="DOI">10.5194/gmd-5-1493-2012</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><?label 1?><mixed-citation>Lin, D., Crabtree, J., Dillo, I., Downs, R. R., Edmunds,
R., Giaretta, D., De Giusti, M., L'Hours, H., Hugo, W.,
Jenkyns, R., Khodiyar, V., Martone, M. E., Mokrane, M.,
Navale, V., Petters, J., Sierman, B., Sokolova, D. V.,
Stockhause, M., and Westbrook, J.: The TRUST Principles for digital
repositories, Sci. Data 7, 144, <ext-link xlink:href="https://doi.org/10.1038/s41597-020-0486-7" ext-link-type="DOI">10.1038/s41597-020-0486-7</ext-link>,
2020.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><?label 1?><mixed-citation>Pascoe, C., Lawrence, B. N., Guilyardi, E., Juckes, M., and Taylor, K. E.: Documenting numerical experiments in support of the Coupled Model Intercomparison Project Phase 6 (CMIP6), Geosci. Model Dev., 13, 2149–2167, <ext-link xlink:href="https://doi.org/10.5194/gmd-13-2149-2020" ext-link-type="DOI">10.5194/gmd-13-2149-2020</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><?label 1?><mixed-citation>Petrie, R., Denvil, S., Ames, S., Levavasseur, G., Fiore, S., Allen, C., Antonio, F., Berger, K., Bretonnière, P.-A., Cinquini, L., Dart, E., Dwarakanath, P., Druken, K., Evans, B., Franchistéguy, L., Gardoll, S., Gerbier, E., Greenslade, M., Hassell, D., Iwi, A., Juckes, M., Kindermann, S., Lacinski, L., Mirto, M., Nasser, A. B., Nassisi, P., Nienhouse, E., Nikonov, S., Nuzzo, A., Richards, C., Ridzwan, S., Rixen, M., Serradell, K., Snow, K., Stephens, A., Stockhause, M., Vahlenkamp, H., and Wagner, R.: Coordinating an operational data distribution network for CMIP6 data, Geosci. Model Dev., 14, 629–644, <ext-link xlink:href="https://doi.org/10.5194/gmd-14-629-2021" ext-link-type="DOI">10.5194/gmd-14-629-2021</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><?label 1?><mixed-citation>Pirani, A., Alegria, A., Al Khourdajie, A., Gunawan, W.,
Gutiérrez, J. M., Holsman, K., Huard, D., Juckes,
M., Kawamiya, M., Klutse, N., Krey, V., Matthews, R.,
Milward, A., Pascoe, C., van der Shrier, G., Spinuso,
A., Stockhause, M., and Xing, X.: The implementation of
FAIR data principles in the IPCC AR6 assessment process, Zenodo,
<ext-link xlink:href="https://doi.org/10.5281/zenodo.6504469" ext-link-type="DOI">10.5281/zenodo.6504469</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bib26"><label>26</label><?label 1?><mixed-citation>Stockhause, M.: IPCC Virtual Workspace at DKRZ,
<uri>http://bit.ly/IPCC_DKRZ_Virtual_Workspace</uri> (last access: 29 June 2022), 2020.</mixed-citation></ref>
      <ref id="bib1.bib27"><label>27</label><?label 1?><mixed-citation>Stockhause, M.: Report 2021 of the DDC at DKRZ, Zenodo,
<ext-link xlink:href="https://doi.org/10.5281/zenodo.5907172" ext-link-type="DOI">10.5281/zenodo.5907172</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bib28"><label>28</label><?label 1?><mixed-citation>Stockhause, M. and Lautenschlager, M.: CMIP6 Data Citation of Evolving Data,
Data Sci. J., 16, 30, <ext-link xlink:href="https://doi.org/10.5334/dsj-2017-030" ext-link-type="DOI">10.5334/dsj-2017-030</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib29"><label>29</label><?label 1?><mixed-citation>Stockhause, M., Höck, H., Toussaint, F., and Lautenschlager, M.: Quality assessment concept of the World Data Center for Climate and its application to CMIP5 data, Geosci. Model Dev., 5, 1023–1032, <ext-link xlink:href="https://doi.org/10.5194/gmd-5-1023-2012" ext-link-type="DOI">10.5194/gmd-5-1023-2012</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib30"><label>30</label><?label 1?><mixed-citation>Stockhause, M., Toussaint, F., and Lautenschlager, M.: CMIP6 Data Citation
and Long-Term Archival, Zenodo, <ext-link xlink:href="https://doi.org/10.5281/zenodo.35178" ext-link-type="DOI">10.5281/zenodo.35178</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib31"><label>31</label><?label 1?><mixed-citation>Stockhause, M., Juckes, M., Pirani, A., Poloczanska, E., and
Waterfield, T.: First IPCC AR6 Data Workshop Minutes, Zenodo,
<ext-link xlink:href="https://doi.org/10.5281/zenodo.1036460" ext-link-type="DOI">10.5281/zenodo.1036460</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib32"><label>32</label><?label 1?><mixed-citation>Stockhause, M., Juckes, M., Chen, R., Moufouma Okia, W., Pirani, A.,
Waterfield, T., Xing, X., and Edmunds, R.: Data Distribution Centre Support
for the IPCC Sixth Assessment, Data Sci. J., 18, 20,
<ext-link xlink:href="https://doi.org/10.5334/dsj-2019-020" ext-link-type="DOI">10.5334/dsj-2019-020</ext-link>, 2019.
</mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bib33"><label>33</label><?label 1?><mixed-citation>Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An Overview of CMIP5 and
the Experiment Design, B. Am. Meteorol. Soc.,
93, 485–498, <ext-link xlink:href="https://doi.org/10.1175/BAMS-D-11-00094.1" ext-link-type="DOI">10.1175/BAMS-D-11-00094.1</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib34"><label>34</label><?label 1?><mixed-citation>Taylor, K. E., Juckes, M., Balaji, V., Cinquini, L., Denvil,
S., Durack, P. J., Elkington, M., Guilyardi, E., Kharin,
S., Lautenschlager, M., Lawrence, B., Nadeau, D., and
Stockhause, M.: CMIP6 Global Attributes, DRS, Filenames, Directory
Structure, and CV's, 10 September 2018 (v6.2.7), <uri>https://goo.gl/v1drZl</uri> (last
access: 29 June 2022), 2018.</mixed-citation></ref>
      <ref id="bib1.bib35"><label>35</label><?label 1?><mixed-citation>UNESCO: UNESCO Recommendations on Open Science, SC-PCB-SPP/2021/OS/UROS,
<uri>https://en.unesco.org/science-sustainable-future/open-science/recommendation</uri>
(last access: 29 June 2022), 2021.</mixed-citation></ref>
      <ref id="bib1.bib36"><label>36</label><?label 1?><mixed-citation>Vaughan, C.: An institutional analysis of the IPCC Task Group on Data
and Scenario Support for Impacts and Climate Analysis (TGICA),
<uri>https://www.researchgate.net/publication/301602432_An_institutional_analysis_of_the_IPCC_Task_Group_on_Data_and_Scenario_Support_for_Impacts_and_Climate_Analysis_TGICA</uri> (last access: 29 June 2022), 2016.</mixed-citation></ref>
      <ref id="bib1.bib37"><label>37</label><?label 1?><mixed-citation>Wilkinson, M., Dumontier, M., Aalbersberg, I., Appleton, G., Axton,
M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos,
L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark,
T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S.,
Evelo, C. T., Finkers, R., Gonzalez-Beltran, A., Gray,
A. J. G., Groth, P., Goble, C., Grethe, J. S., Heringa,
J., 't Hoen, P. A. C, Hooft, R., Kuhn, T., Kok, R., Kok, J.,
Lusher, S. J., Martone, M. E., Mons, A., Packer, A. L.,
Persson, B., Rocca-Serra, P., Roos, M., van Schaik, R.,
Sansone, S.-A., Schultes, E., Sengstag, T., Slater, T.,
Strawn, G., Swertz, M. A., Thompson, M., van der Lei, J., van
Mulligen, E., Velterop, J., Waagmeester, A., Wittenburg, P.,
Wolstencroft, K., Zhao, J., and Mons, B.: The FAIR Guiding
Principles for scientific data management and stewardship, Sci. Data, 3,
160018, <ext-link xlink:href="https://doi.org/10.1038/sdata.2016.18" ext-link-type="DOI">10.1038/sdata.2016.18</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib38"><label>38</label><?label 1?><mixed-citation>Williams, D. N., Balaji, V., Cinquini, L., Denvil, S., Duffy, D., Evans, B.,
Ferraro, R., Hansen, R., Lautenschlager, M., and Trenham, C.: A Global
Repository for Planet-Sized Experiments and Observations, B.
Am. Meteorol. Soc., 97, 803–816,
<ext-link xlink:href="https://doi.org/10.1175/BAMS-D-15-00132.1" ext-link-type="DOI">10.1175/BAMS-D-15-00132.1</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib39"><label>39</label><?label 1?><mixed-citation>World Data System: Data Repositories Day 2018, Gaborone, Botswana, 9
November 2018,
<uri>https://www.worlddatasystem.org/community/wds-members-forum/data-repositories-day-2018</uri>
(last access: 29 June 2022), 2018.</mixed-citation></ref>
      <ref id="bib1.bib40"><label>40</label><?label 1?><mixed-citation>World Meteorological Organization: Science for Policy, WMO Support to IPCC
and Climate Science, World Meteorological Congress, Eighteenth Session,
Geneva, 3 to 14 June 2019, Cg-18/INF.7.3(3),
<uri>https://www.wcrp-climate.org/JSC40/10.1b.%20Cg-18-INF07-3(3)-SUPPORT-IPCC-CLIMATE-SCIENCE_en.pdf</uri> (last access: 29 June 2022), 2019.</mixed-citation></ref>
      <ref id="bib1.bib41"><label>41</label><?label 1?><mixed-citation>Xing, X., Stockhause, M., Gutiérrez, L., José, M.,
and Irwin, C.: Memorandum of Understanding (MoU) for Operation of the
IPCC Data Distribution Centre, Zenodo,
<ext-link xlink:href="https://doi.org/10.5281/zenodo.5914482" ext-link-type="DOI">10.5281/zenodo.5914482</ext-link>, 2021.</mixed-citation></ref>

  </ref-list></back>
    <!--<article-title-html>Twenty-five years of the IPCC Data Distribution Centre at the DKRZ and the Reference Data Archive for CMIP data</article-title-html>
<abstract-html/>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
Cinquini, L., Crichton, D., Mattmann, C., Harney, J., Shipman,
G., Wang, F., Ananthakrishnan, R., Miller, N., Denvil,
S., Morgan, M., Pobre, Z., Bell, G. M., Doutriaux, C.,
Drach, R., Williams, D., Kershaw, P., Pascoe, S., Gonzalez,
E., Fiore, S., and Schweitzer, R.: The Earth System Grid
Federation: An open infrastructure for access to distributed geospatial
data, Future Generation Computer Systems, 36, 400–417,
ISSN 0167-739X, <a href="https://doi.org/10.1016/j.future.2013.07.002" target="_blank">https://doi.org/10.1016/j.future.2013.07.002</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
CODATA, Committee on Data of the International Science Council, CODATA
International Data Policy Committee, CODATA, and CODATA China High-level
International Meeting on Open Research Data Policy and Practice, Hodson, S.,
Mons, B., Uhlir, P., and Zhang, L.: The Beijing Declaration on Research
Data, Zenodo, <a href="https://doi.org/10.5281/zenodo.3552330" target="_blank">https://doi.org/10.5281/zenodo.3552330</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
De Smedt, K., Koureas, D., and Wittenburg, P.: FAIR Digital
Objects for Science: From Data Pieces to Actionable Knowledge Units,
Publications 2020, MDPI, 8, 21,
<a href="https://doi.org/10.3390/publications8020021" target="_blank">https://doi.org/10.3390/publications8020021</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Deutsche Forschungsgemeinschaft: Guidelines for Safeguarding Good Research
Practice, Code of Conduct, Zenodo, <a href="https://doi.org/10.5281/zenodo.3923602" target="_blank">https://doi.org/10.5281/zenodo.3923602</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</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.bib6"><label>6</label><mixed-citation>
Eyring, V., Bock, L., Lauer, A., Righi, M., Schlund, M., Andela, B., Arnone, E., Bellprat, O., Brötz, B., Caron, L.-P., Carvalhais, N., Cionni, I., Cortesi, N., Crezee, B., Davin, E. L., Davini, P., Debeire, K., de Mora, L., Deser, C., Docquier, D., Earnshaw, P., Ehbrecht, C., Gier, B. K., Gonzalez-Reviriego, N., Goodman, P., Hagemann, S., Hardiman, S., Hassler, B., Hunter, A., Kadow, C., Kindermann, S., Koirala, S., Koldunov, N., Lejeune, Q., Lembo, V., Lovato, T., Lucarini, V., Massonnet, F., Müller, B., Pandde, A., Pérez-Zanón, N., Phillips, A., Predoi, V., Russell, J., Sellar, A., Serva, F., Stacke, T., Swaminathan, R., Torralba, V., Vegas-Regidor, J., von Hardenberg, J., Weigel, K., and Zimmermann, K.: Earth System Model Evaluation Tool (ESMValTool) v2.0 – an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP, Geosci. Model Dev., 13, 3383–3438, <a href="https://doi.org/10.5194/gmd-13-3383-2020" target="_blank">https://doi.org/10.5194/gmd-13-3383-2020</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
IPCC: Climate Change 1995: The Scientific of Climate Change. Contribution of
Working Group I to the Second Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Houghton, J. T., Meira Filho, L. G., Callander, B. A., Harris,
N., Kattenberg, A., and Maskell, K., Cambridge University
Press, Cambridge, United Kingdom and New York, NY, USA, ISBN 0 521 56433 6, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
IPCC: Report of the thirteenth session of the IPCC, Maldives, 22, 25–28
September 1997,
<a href="https://www.ipcc.ch/site/assets/uploads/2018/05/thirteenth-session-report.pdf" target="_blank"/>
(last access: 29 June 2022), 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
IPCC: 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, United Kingdom and New York, NY, USA, 881 pp., ISBN 0521 80767 0, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
IPCC: Climate Change 2007: The Physical Science Basis. Contribution of
Working Group I to the Fourth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Solomon, S., Qin, D., Manning, M., Chen, Z.,
Marquis, M., Averyt, K. B., Tignor, M. and Miller, H. L., Cambridge
University Press, Cambridge, United Kingdom and New York, NY, USA, 996 pp., ISBN 978-0-521-88009-1,
2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>
IPCC: Climate Change 2013: The Physical Science Basis. Contribution of
Working Group I to the Fifth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen,
S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M.,
Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA,
1535 pp., ISBN 978-1-107-05799-9, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
IPCC: 41st Session of the IPCC, 24–27 February 2015, Nairobi, Kenya,
Decisions adopted by the Panel,
<a href="https://www.ipcc.ch/site/assets/uploads/2018/05/p41_decisions.pdf" target="_blank"/> (last access: 29 June 2022), 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
IPCC: Expert Meeting on the Future of the Task Group on Data and Scenario
Support for Impact and Climate Analysis (TGICA), 26–27 January 2016, Geneva,
<a href="https://www.ipcc.ch/site/assets/uploads/2018/05/EMR_TGICA_Future.pdf" target="_blank"/> (last access: 29 June 2022), 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
IPCC: Guidance for the core functions of the IPCC Data Distribution Centre
(DDC),
<a href="https://www.ipcc.ch/site/assets/uploads/2018/12/Guidance_DDC.pdf" target="_blank"/> (last access: 29 June 2022), 2018a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
IPCC: Report of the forty-seventh session of the IPCC, Paris, France, 13–16 March 2018,
<a href="https://www.ipcc.ch/site/assets/uploads/2018/03/final_report_p47.pdf" target="_blank"/> (last access: 29 June 2022), 2018b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
IPCC: Summary for Policymakers, in: Global Warming of 1.5&thinsp;°C. An
IPCC Special Report on the impacts of global warming of 1.5&thinsp;°C
above pre-industrial levels and related global greenhouse gas emission
pathways, in the context of strengthening the global response to the threat
of climate change, sustainable development, and efforts to eradicate poverty,
edited by: Masson-Delmotte, V., Zhai, P., Pörtner, H.-O., Roberts, D., Skea, J.,
Shukla, P. R., Pirani, A., Moufouma-Okia, W., Péan, C., Pidcock, R., Connors, S., Matthews,
J. B. R., Chen, Y., Zhou, X., Gomis, M. I., Lonnoy, E., Maycock, T.,
Tignor, M., and Waterfield, T., Cambridge University Press, Cambridge, UK
and New York, NY, USA,  3–24, <a href="https://doi.org/10.1017/9781009157940.001" target="_blank">https://doi.org/10.1017/9781009157940.001</a>,
2018c.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
IPCC: Expert Meeting on Assessing Climate Information for Regions, Trieste,
Italy, 16–18 May 2018,
<a href="http://www.ipcc.ch/apps/eventmanager/documents/52/120920180323-INF5EM-Regions.pdf" target="_blank"/>
(last access: 29 June 2022), 2018d.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
IPCC: Working Group I Training on Data Access and Software Development,
Oberpfaffenhofen, Germany, 6–7 June 2019,
<a href="https://www.ipcc.ch/event/wgi-training-on-data-and-software-development/" target="_blank"/>
(last access: 29 June 2022), 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
IPCC: Climate Change 2021: The Physical Science Basis. Contribution of
Working Group I to the Sixth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A.,
Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang,
M., Leitzell, K., Lonnoy, E., Matthews, J. B. R., Maycock, T. K.,
Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., Cambridge University
Press, in press, <a href="https://doi.org/10.1017/9781009157896" target="_blank">https://doi.org/10.1017/9781009157896</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation>
IPCC: 55th Session of the IPCC, Opening Ceremony, 14 February 2022, <a href="https://www.youtube.com/watch?v=00_0udBrw_w" target="_blank"/>, last access: 29 June 2022.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation>
Lawrence, B. N., Balaji, V., Bentley, P., Callaghan, S., DeLuca, C., Denvil, S., Devine, G., Elkington, M., Ford, R. W., Guilyardi, E., Lautenschlager, M., Morgan, M., Moine, M.-P., Murphy, S., Pascoe, C., Ramthun, H., Slavin, P., Steenman-Clark, L., Toussaint, F., Treshansky, A., and Valcke, S.: Describing Earth system simulations with the Metafor CIM, Geosci. Model Dev., 5, 1493–1500, <a href="https://doi.org/10.5194/gmd-5-1493-2012" target="_blank">https://doi.org/10.5194/gmd-5-1493-2012</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation>
Lin, D., Crabtree, J., Dillo, I., Downs, R. R., Edmunds,
R., Giaretta, D., De Giusti, M., L'Hours, H., Hugo, W.,
Jenkyns, R., Khodiyar, V., Martone, M. E., Mokrane, M.,
Navale, V., Petters, J., Sierman, B., Sokolova, D. V.,
Stockhause, M., and Westbrook, J.: The TRUST Principles for digital
repositories, Sci. Data 7, 144, <a href="https://doi.org/10.1038/s41597-020-0486-7" target="_blank">https://doi.org/10.1038/s41597-020-0486-7</a>,
2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation>
Pascoe, C., Lawrence, B. N., Guilyardi, E., Juckes, M., and Taylor, K. E.: Documenting numerical experiments in support of the Coupled Model Intercomparison Project Phase 6 (CMIP6), Geosci. Model Dev., 13, 2149–2167, <a href="https://doi.org/10.5194/gmd-13-2149-2020" target="_blank">https://doi.org/10.5194/gmd-13-2149-2020</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation>
Petrie, R., Denvil, S., Ames, S., Levavasseur, G., Fiore, S., Allen, C., Antonio, F., Berger, K., Bretonnière, P.-A., Cinquini, L., Dart, E., Dwarakanath, P., Druken, K., Evans, B., Franchistéguy, L., Gardoll, S., Gerbier, E., Greenslade, M., Hassell, D., Iwi, A., Juckes, M., Kindermann, S., Lacinski, L., Mirto, M., Nasser, A. B., Nassisi, P., Nienhouse, E., Nikonov, S., Nuzzo, A., Richards, C., Ridzwan, S., Rixen, M., Serradell, K., Snow, K., Stephens, A., Stockhause, M., Vahlenkamp, H., and Wagner, R.: Coordinating an operational data distribution network for CMIP6 data, Geosci. Model Dev., 14, 629–644, <a href="https://doi.org/10.5194/gmd-14-629-2021" target="_blank">https://doi.org/10.5194/gmd-14-629-2021</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>25</label><mixed-citation>
Pirani, A., Alegria, A., Al Khourdajie, A., Gunawan, W.,
Gutiérrez, J. M., Holsman, K., Huard, D., Juckes,
M., Kawamiya, M., Klutse, N., Krey, V., Matthews, R.,
Milward, A., Pascoe, C., van der Shrier, G., Spinuso,
A., Stockhause, M., and Xing, X.: The implementation of
FAIR data principles in the IPCC AR6 assessment process, Zenodo,
<a href="https://doi.org/10.5281/zenodo.6504469" target="_blank">https://doi.org/10.5281/zenodo.6504469</a>, 2022.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>26</label><mixed-citation>
Stockhause, M.: IPCC Virtual Workspace at DKRZ,
<a href="http://bit.ly/IPCC_DKRZ_Virtual_Workspace" target="_blank"/> (last access: 29 June 2022), 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>27</label><mixed-citation>
Stockhause, M.: Report 2021 of the DDC at DKRZ, Zenodo,
<a href="https://doi.org/10.5281/zenodo.5907172" target="_blank">https://doi.org/10.5281/zenodo.5907172</a>, 2022.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>28</label><mixed-citation>
Stockhause, M. and Lautenschlager, M.: CMIP6 Data Citation of Evolving Data,
Data Sci. J., 16, 30, <a href="https://doi.org/10.5334/dsj-2017-030" target="_blank">https://doi.org/10.5334/dsj-2017-030</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>29</label><mixed-citation>
Stockhause, M., Höck, H., Toussaint, F., and Lautenschlager, M.: Quality assessment concept of the World Data Center for Climate and its application to CMIP5 data, Geosci. Model Dev., 5, 1023–1032, <a href="https://doi.org/10.5194/gmd-5-1023-2012" target="_blank">https://doi.org/10.5194/gmd-5-1023-2012</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>30</label><mixed-citation>
Stockhause, M., Toussaint, F., and Lautenschlager, M.: CMIP6 Data Citation
and Long-Term Archival, Zenodo, <a href="https://doi.org/10.5281/zenodo.35178" target="_blank">https://doi.org/10.5281/zenodo.35178</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>31</label><mixed-citation>
Stockhause, M., Juckes, M., Pirani, A., Poloczanska, E., and
Waterfield, T.: First IPCC AR6 Data Workshop Minutes, Zenodo,
<a href="https://doi.org/10.5281/zenodo.1036460" target="_blank">https://doi.org/10.5281/zenodo.1036460</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>32</label><mixed-citation>
Stockhause, M., Juckes, M., Chen, R., Moufouma Okia, W., Pirani, A.,
Waterfield, T., Xing, X., and Edmunds, R.: Data Distribution Centre Support
for the IPCC Sixth Assessment, Data Sci. J., 18, 20,
<a href="https://doi.org/10.5334/dsj-2019-020" target="_blank">https://doi.org/10.5334/dsj-2019-020</a>, 2019.

</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>33</label><mixed-citation>
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An Overview of CMIP5 and
the Experiment Design, B. Am. Meteorol. Soc.,
93, 485–498, <a href="https://doi.org/10.1175/BAMS-D-11-00094.1" target="_blank">https://doi.org/10.1175/BAMS-D-11-00094.1</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>34</label><mixed-citation>
Taylor, K. E., Juckes, M., Balaji, V., Cinquini, L., Denvil,
S., Durack, P. J., Elkington, M., Guilyardi, E., Kharin,
S., Lautenschlager, M., Lawrence, B., Nadeau, D., and
Stockhause, M.: CMIP6 Global Attributes, DRS, Filenames, Directory
Structure, and CV's, 10 September 2018 (v6.2.7), <a href="https://goo.gl/v1drZl" target="_blank"/> (last
access: 29 June 2022), 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>35</label><mixed-citation>
UNESCO: UNESCO Recommendations on Open Science, SC-PCB-SPP/2021/OS/UROS,
<a href="https://en.unesco.org/science-sustainable-future/open-science/recommendation" target="_blank"/>
(last access: 29 June 2022), 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>36</label><mixed-citation>
Vaughan, C.: An institutional analysis of the IPCC Task Group on Data
and Scenario Support for Impacts and Climate Analysis (TGICA),
<a href="https://www.researchgate.net/publication/301602432_An_institutional_analysis_of_the_IPCC_Task_Group_on_Data_and_Scenario_Support_for_Impacts_and_Climate_Analysis_TGICA" target="_blank"/> (last access: 29 June 2022), 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>37</label><mixed-citation>
Wilkinson, M., Dumontier, M., Aalbersberg, I., Appleton, G., Axton,
M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos,
L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark,
T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S.,
Evelo, C. T., Finkers, R., Gonzalez-Beltran, A., Gray,
A. J. G., Groth, P., Goble, C., Grethe, J. S., Heringa,
J., 't Hoen, P. A. C, Hooft, R., Kuhn, T., Kok, R., Kok, J.,
Lusher, S. J., Martone, M. E., Mons, A., Packer, A. L.,
Persson, B., Rocca-Serra, P., Roos, M., van Schaik, R.,
Sansone, S.-A., Schultes, E., Sengstag, T., Slater, T.,
Strawn, G., Swertz, M. A., Thompson, M., van der Lei, J., van
Mulligen, E., Velterop, J., Waagmeester, A., Wittenburg, P.,
Wolstencroft, K., Zhao, J., and Mons, B.: The FAIR Guiding
Principles for scientific data management and stewardship, Sci. Data, 3,
160018, <a href="https://doi.org/10.1038/sdata.2016.18" target="_blank">https://doi.org/10.1038/sdata.2016.18</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>38</label><mixed-citation>
Williams, D. N., Balaji, V., Cinquini, L., Denvil, S., Duffy, D., Evans, B.,
Ferraro, R., Hansen, R., Lautenschlager, M., and Trenham, C.: A Global
Repository for Planet-Sized Experiments and Observations, B.
Am. Meteorol. Soc., 97, 803–816,
<a href="https://doi.org/10.1175/BAMS-D-15-00132.1" target="_blank">https://doi.org/10.1175/BAMS-D-15-00132.1</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>39</label><mixed-citation>
World Data System: Data Repositories Day 2018, Gaborone, Botswana, 9
November 2018,
<a href="https://www.worlddatasystem.org/community/wds-members-forum/data-repositories-day-2018" target="_blank"/>
(last access: 29 June 2022), 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>40</label><mixed-citation>
World Meteorological Organization: Science for Policy, WMO Support to IPCC
and Climate Science, World Meteorological Congress, Eighteenth Session,
Geneva, 3 to 14 June 2019, Cg-18/INF.7.3(3),
<a href="https://www.wcrp-climate.org/JSC40/10.1b.%20Cg-18-INF07-3(3)-SUPPORT-IPCC-CLIMATE-SCIENCE_en.pdf" target="_blank"/> (last access: 29 June 2022), 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>41</label><mixed-citation>
Xing, X., Stockhause, M., Gutiérrez, L., José, M.,
and Irwin, C.: Memorandum of Understanding (MoU) for Operation of the
IPCC Data Distribution Centre, Zenodo,
<a href="https://doi.org/10.5281/zenodo.5914482" target="_blank">https://doi.org/10.5281/zenodo.5914482</a>, 2021.
</mixed-citation></ref-html>--></article>
