<?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"><?xmltex \bartext{18th EMS Annual Meeting: European Conference for Applied Meteorology and Climatology 2018}?>
  <front>
    <journal-meta><journal-id journal-id-type="publisher">ASR</journal-id><journal-title-group>
    <journal-title>Advances in Science and Research</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ASR</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Adv. Sci. Res.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1992-0636</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/asr-16-75-2019</article-id><title-group><article-title>Interactive open access to climate <?xmltex \hack{\break}?> observations from Germany</article-title><alt-title>Interactive open access to climate observations from Germany</alt-title>
      </title-group><?xmltex \runningtitle{Interactive open access to climate observations from Germany}?><?xmltex \runningauthor{F.~Kaspar et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name><surname>Kaspar</surname><given-names>Frank</given-names></name>
          <email>frank.kaspar@dwd.de</email>
        <ext-link>https://orcid.org/0000-0001-8819-8450</ext-link></contrib>
        <contrib contrib-type="author" corresp="no">
          <name><surname>Kratzenstein</surname><given-names>Frank</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name><surname>Kaiser-Weiss</surname><given-names>Andrea K.</given-names></name>
          
        </contrib>
        <aff id="aff1"><institution>Deutscher Wetterdienst, National Climate Monitoring, Frankfurter Str. 135, 63067 Offenbach, Germany</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Frank Kaspar (frank.kaspar@dwd.de)</corresp></author-notes><pub-date><day>28</day><month>May</month><year>2019</year></pub-date>
      
      <volume>16</volume>
      <fpage>75</fpage><lpage>83</lpage>
      <history>
        <date date-type="received"><day>25</day><month>February</month><year>2019</year></date>
           <date date-type="accepted"><day>25</day><month>April</month><year>2019</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2019 Frank Kaspar et al.</copyright-statement>
        <copyright-year>2019</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://asr.copernicus.org/articles/16/75/2019/asr-16-75-2019.html">This article is available from https://asr.copernicus.org/articles/16/75/2019/asr-16-75-2019.html</self-uri><self-uri xlink:href="https://asr.copernicus.org/articles/16/75/2019/asr-16-75-2019.pdf">The full text article is available as a PDF file from https://asr.copernicus.org/articles/16/75/2019/asr-16-75-2019.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e90">During recent years, Germany's national meteorological service (Deutscher
Wetterdienst, DWD) has significantly expanded the open access to its climate
observations. A first step was a simple FTP-site with the possibility for
downloading archives with various categories of data, e.g. national and
international station-based meteorological data, derived parameters, gridded
products and special categories as e.g. phenological data. The data are based
on the observing systems of DWD for Germany as well as international
activities of DWD. To improve the interactive and user-friendly access to the
data, a new portal has been developed. The portal serves a variety of user
requirements that result from the broad range of applications of DWD's
climate data. Here we provide an overview of the new climate data portal of
DWD. It is based on a systematic implementation of OGC-based technologies. It
allows easy graphical access to the station data, but also supports access
via technical interfaces, esp. Web-Map- and Web-Feature-Services.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction and background</title>
      <p id="d1e102">Germany's national meteorological service (Deutscher Wetterdienst, DWD) is
responsible for provision of meteorological and climatological services for
the general public and a wide range of customers. The official duties are
defined in the “Act on the German Meteorological Service” (Gesetz über
den Deutschen Wetterdienst; <uri>https://www.gesetze-im-internet.de/dwdg/</uri>, last access: 17 May 2019).
The tasks include warning of the public in case of severe weather events or the
continuous monitoring of the atmosphere. The act explicitly mentions (a) the
operation of the measurement and observation systems necessary to carry out
the legal tasks as part of the German infrastructure for geospatial
information, and (b) the provision, archiving, documentation and delivery of
meteorological and climatological geospatial data and services. With the
last change in 2017, an open data policy was implemented. To fulfill task (b)
DWD operates the national climate data archive and uses the national
observations to provide regular statements on climate in Germany (Kaspar et
al., 2013). The national climate data archive also includes the observations
of predecessor organizations (see Kaspar and Mächel, 2017). DWD started
to expand its selection of publicly available climate data sets in 2014, but
especially with the new act a further expansion was started in 2017, which
also included further high-resolution observations. The first step was the
provision of selected datasets on an FTP-server. The server allows direct
download of archives with various categories of data, e.g. national and
international station-based meteorological data, derived parameters, gridded
products and special categories as e.g. phenological data (Kaspar et al., 2014).</p>
      <p id="d1e108">However, several user requirements were not fulfilled with that approach,
e.g. systematic search options were missing or standards for geospatial data
exchange were not systematically used. Therefore a development of a new data
portal was started to address several of these user requirements. The first
focus was on station observations from Germany. In the following sections we
will provide background information on these observations (Sect. 2),
describe the user requirements for data access (Sect. 3) and explain and
illustrate the implementation.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><label>Figure 1</label><caption><p id="d1e113">Homepage of the interactive Climate Data Center portal (Source:
Deutscher Wetterdienst).</p></caption>
        <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://asr.copernicus.org/articles/16/75/2019/asr-16-75-2019-f01.png"/>

      </fig>

</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Overview of German station based observations</title>
      <p id="d1e130">DWD operates networks of weather stations that provide time series of
near-surface meteorological observations. The<?pagebreak page76?> density of the networks depends
on the parameters, e.g. precipitation is observed with the highest station
density. The length of the time series is related to the historical
development of the observation networks. Some series extend back into the
18th century, e.g. observations from the meteorological observatory
Hohenpeißenberg started in 1781. Several changes occurred during the
operation of these networks that might have an impact on the time series,
e.g. relocation of stations, changes in the instructions (e.g. observation
time) or the instrumentation (e.g. transition from manual to automatic
observations, see for example Kaspar et al., 2016). It is therefore important
to provide the time series with detailed metadata. Today, at automatic
weather stations, observations are taken with high temporal resolution and
transferred to the central data bases of DWD. Several steps of
quality-control routines are applied to the data. Therefore, data might
change with delay. Some historic data are not yet available in digital form.
Therefore DWD is still working on the digitization of historic time series
(Kaspar et al., 2015) and additional historic data are continuously added to
the digital archive.</p>
      <p id="d1e133">The data are used for a wide-range of applications that lead to a variety of
requirements on data provision. On the one hand, some users are interest to
get access to the data as quick as possible after the time of observation;
other users are interested in long-time series with well documented quality.
In the context of climate research also reproducibility of scientific
analysis is an important requirement.</p>
      <p id="d1e136">Based on these requirements, the data provision on the FTP-server was
implemented as follows: the full time series are extracted from the internal
data base once a year. In addition to that, daily updates containing approx.
the last 500 days of data are provided. This makes sure that users have
access to the improvements achieved by the quality control procedures. The
data are provided in zip-archives which also include additional meta-data on
station history and instrumentation.</p>
      <p id="d1e139">However, after that first step, additional requirements have been discussed
(see bullet points in the next section) and as a consequence a new data
portal has been developed. The first priority was on improved access to
German station data, but an expansion to other data categories is ongoing.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><label>Figure 2</label><caption><p id="d1e145">Screenshot of the search page. The left part shows the facet-based
selection area that allows narrowing the search results. The right part shows
the search results. In this example four data access methods are available:
Interactive access, download from an FTP-server, WMS and WFS (Source:
Deutscher Wetterdienst).</p></caption>
        <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://asr.copernicus.org/articles/16/75/2019/asr-16-75-2019-f02.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><label>Figure 3</label><caption><p id="d1e156">Interactive components of the portal with configuration area (left
part) and map display area (right part). The example shows daily maximum wind
gusts of 18 January 2018 (Cyclone Frederike) (Source: Deutscher
Wetterdienst).</p></caption>
        <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://asr.copernicus.org/articles/16/75/2019/asr-16-75-2019-f03.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><label>Figure 4</label><caption><p id="d1e167">The station Offenbach-Wetterpark shown at a high zoom-level. The
combination with additional maps (here: OpenStreetMap, ©
OpenStreetMap-contributors, CC BY-SA 2.0) provides detailed information on
the station surrounding.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://asr.copernicus.org/articles/16/75/2019/asr-16-75-2019-f04.png"/>

      </fig>

</sec>
<?pagebreak page77?><sec id="Ch1.S3">
  <label>3</label><title>Motivation and user requirements for the new data portal</title>
      <p id="d1e184">Because of the wide spectrum of users and applications, the requirements for
features of the data access are manifold:
<list list-type="bullet"><list-item>
      <p id="d1e189">The German meteorological service DWD is an agency of the German Federal
government and therefore DWD should contribute to the <italic>German geospatial data infrastructure</italic> (Geodateninfrastuktur Deutschland: GDI-DE), thereby following
guidelines of INSPIRE (INfrastructure for SPatial InfoRmation in Europe,
see: <uri>https://inspire.ec.europa.eu/</uri>, last access: 17 May 2019) and the Open Geospatial
Consortium (OGC), an international organization committed to developing quality open
standards for geospatial content and services (see: <uri>http://www.opengeospatial.org/</uri>,
last access: 17 May 2019). The general concept of a web-service
based approach is to make information accessible over well-defined internet
protocols that are independent of platforms and programming languages in
order to simplify the development of applications. For a detailed and
critical discussion see for example Josuttis (2007).</p></list-item><list-item>
      <p id="d1e202">However, in addition to these general standards for geo-related metadata,
also the <italic>standards of the meteorological community as defined by WMO</italic> are
relevant (esp. WIGOS, see below). Metadata are relevant at two levels:
(1) for the description of the data collections, as e.g. “daily temperature
observations for Germany”, but (2) also for the detailed provision of
supplementary information to the time series, as e.g. station history,
instrumentation, observing instructions, etc. The first category is relevant
to support the user in finding an appropriate data collection for his
application, the second category is mainly needed by the user when working
with the data, i.e. for understanding the detailed background of the time
series. The WIGOS (WMO Integrated Global Observing System) metadata standard
supports the second category. Its intention is to “describe the observed
variable, the conditions under which it was observed, how it was measured,
and how the data have been processed, in order to provide users<?pagebreak page78?> with
confidence that the data are appropriate for their application” (World
Meteorological Organization, 2017).</p></list-item><list-item>
      <p id="d1e209">The variety of meteorological parameters, their observing systems, their
different temporal and spatial resolution and extend or the different access
methods leads to the situation that it is not easy for users to <italic>identify the dataset that fits best to their intended application</italic>.</p></list-item><list-item>
      <p id="d1e216">Different applications also lead to wide range of <italic>requirements concerning the total amount of data</italic> the individual user needs to access. Examples are
(a) users who want to analyze the complete datasets in high temporal
resolution, e.g. for research on extreme events, or (b) users who are just
interested in looking up a single value or (c) getting a visualization for a
selected point in time or (d) getting a formatted version of selected data for printing.</p></list-item><list-item>
      <p id="d1e223">A frequently requested feature was support for <italic>identifying stations close to a selected location</italic>, eventually combined with certain additional criteria,
e.g. a defined length of the observation period.
<?xmltex \hack{\newpage}?></p></list-item><list-item>
      <p id="d1e231">Also the <italic>requirements on timeliness</italic> vary considerably, e.g. from a one-time
access of the historic time series to recurring near-real time access.</p></list-item></list>
This set of user requirements has been evaluated and the following
conclusions have been drawn for the implementation of the data portal:
<list list-type="bullet"><list-item>
      <p id="d1e240">The implementation should be based on standardized and interoperable
OGC-standards wherever possible and the interfaces should also be directly
accessible to users.</p></list-item><list-item>
      <p id="d1e244">A search mechanism should be available that allows to identify the most
appropriate dataset through selection of the relevant facets of the
individual requirements (e.g. parameter, resolution, and timeliness).</p></list-item><list-item>
      <p id="d1e248">It should be possible for the data provider to continuously integrate
additional datasets into this structure.</p></list-item><list-item>
      <?pagebreak page79?><p id="d1e252">The system should allow a preview on the datasets combined with the
possibility to directly access individual observations.
<?xmltex \hack{\newpage}?></p></list-item><list-item>
      <p id="d1e257">It should also allow to easily access the station-related metadata.</p></list-item><list-item>
      <p id="d1e261">It should be possible to select stations based on various geographic
attributes (e.g. distance, administrative units, river basins).</p></list-item><list-item>
      <p id="d1e265">It should provide a possibility for formatted printing of selected stations.
It should be possible to download packages of station data that have been
combined based on various user-defined criteria (e.g. time span, region).</p></list-item><list-item>
      <p id="d1e269">It should be possible to use the defined selection also for recurring downloads.</p></list-item></list></p>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Implementation</title>
      <p id="d1e280">The new data portal of DWD's Climate Data Center is available at: <uri>https://cdc.dwd.de/portal</uri>
(last access: 17 May 2019). Figure 1 shows a screenshot of the homepage.
From that point users are guided to the data in different ways. Via a search
function they can identify data for direct download and interactive access
to station data. The interactive access mode provides graphical and tabular
previews of the German station data. Generally users identify the parameters
within the search page and then switch to the interactive mode from there.
For frequently used parameters some directly preconfigured examples
(e.g. hourly and daily station data) are available directly at the homepage, which
bring the users directly to the interactive mode.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><label>Figure 5</label><caption><p id="d1e288">Interactive component with one station selected in the map display
area (Source: Deutscher Wetterdienst).</p></caption>
        <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://asr.copernicus.org/articles/16/75/2019/asr-16-75-2019-f05.png"/>

      </fig>

      <p id="d1e297">The search mode (see example screenshot in Fig. 2) is a “faceted search”,
i.e. it allows the users to narrow down search results by applying multiple
filters based on faceted classification of the items (Tunkelang, 2009). A
faceted classification system classifies each element along multiple
dimensions, called facets. Examples for such facets in case of our climate
data are: data source, parameter class,<?pagebreak page80?> parameter, statistical processing,
temporal resolution, vertical resolution, geographical region, unit,
maintenance frequency or access method. This facet-based approach allows the
continuous integration of additional datasets without general modifications
of the search structure. The search tools are implemented based on the open
source full-text search and analytics engine “ElasticSearch” (<uri>https://www.elastic.co/products/elasticsearch</uri>,
last access: 17 May 2019).</p>
      <p id="d1e304">The search results contain a short abstract of the datasets together with
links to the access points and more detailed documentation. Generally a
dataset description in PDF (portable document format) is available. This
PDF-document is generated from the internally stored metadata. Based on the
same information, metadata can also be accessed in INSPIRE-compliant
XML-format. The metadata-documents can also be used to provide information
to other catalogues. The search results also show which access methods are
available. Depending on the dataset two general options are available:
Direct download via an OpenData-FTP-server or via interactive access. The
interactive component of the portal is based on the WMS of the OGC.
Therefore, if interactive access is available, users can also directly
access the data via WMS or WFS. The information required to use these
services is also displayed as part of the search results.</p>
      <?pagebreak page81?><p id="d1e307"><?xmltex \hack{\newpage}?>The implementation of the OGC-compliant data access is based on the server
software “GeoServer”. GeoServer is an open-source server written in Java
that allows sharing geospatial data based on the interoperability standards
of the OGC. It functions as the reference implementation of the Open
Geospatial Consortium “Web Feature Service” standard, and also implements
the Web Map Service and Web Coverage Service. Address of the server is:
<uri>https://cdc.dwd.de/geoserver</uri> (last access: 17 May 2019). Data can be directly accessed
via a variety of formats within the WMS-/WFS-standards.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><label>Figure 6</label><caption><p id="d1e316">Excerpt from the detailed metadata of one station (Helgoland)
(Source: Deutscher Wetterdienst).</p></caption>
        <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://asr.copernicus.org/articles/16/75/2019/asr-16-75-2019-f06.png"/>

      </fig>

      <p id="d1e325">The interactive component consists of a configuration area and a map display
area (Fig. 3). The map display area allows visualizing a selected time
step of the dataset. Different background maps can be selected. This also
allows users to zoom to a very detailed level and thereby get precise
information on the station location and surrounding (Fig. 4). Individual
stations can be selected, which will directly display the observed value of
the active date (Fig. 5) and provide a link to detailed station metadata
(see Fig. 6). Users can configure the map and download it in PNG-format
(Portable Network Graphics) for further reuse. The configuration area allows
users to select date and time, restrict the map display to data above/below
thresholds, or to select stations based on various criteria, e.g. station
height, or geographic features like administrative units, river basins,
natural area (Fig. 7). Based on these selections, users can configure a
download package. Depending on the total size, the data can be downloaded
directly or the user will be notified by email when the package is ready for
download. The package contains the data of the selected stations, together
with metadata and dataset descriptions.</p>
      <p id="d1e328">Users can switch from the graphical map display to a tabular display of the
selected data. Here it is also possible for users to download a formatted
document with the data (in PDF), which also includes the descriptions of the
datasets and the map.</p>
      <p id="d1e332">Many users might want to use the same configuration (e.g. selected stations
and parameters) for similar downloads in the future. It is therefore
possible to store a bookmark that will restore the same configuration when
users are accessing it. The bookmark can also be used to provide the
configuration to other users.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><label>Figure 7</label><caption><p id="d1e337">Example of the application of a geographic filter (Source: Deutscher
Wetterdienst).</p></caption>
        <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://asr.copernicus.org/articles/16/75/2019/asr-16-75-2019-f07.png"/>

      </fig>

</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Summary and conclusions</title>
      <p id="d1e355">DWD currently implements several options to provide open access to German
climate data. One component is a new interactive web portal based on
OGC-compliant web services. As DWD's climate data are used in a wide variety
of applications, a broad range of user requirements were identified. The
current version of the portal provides several features for handling station
data. Further options for gridded data are also aspired, but for the
implementation of interactive access to these high-volume datasets new data
base solutions have to be explored.</p><?xmltex \hack{\newpage}?>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e363">German station data are interactively available via:
Climate Data Center: <uri>https://cdc.dwd.de/portal</uri> (Climate Data Center,
2019a). They are available for direct download: Climate Data Center – Open
Data Server: <uri>https://opendata.dwd.de/climate_environment/CDC</uri> (Climate
Data Center, 2019b) and are also accessible based on OGC-standards at:
Climate Data Center – GeoServer: <uri>https://cdc.dwd.de/geoserver/</uri>
(Climate Data Center, 2019c). The data are freely available for unrestricted
use according the German GeoNutzV
(<uri>http://www.gesetze-im-internet.de/geonutzv/</uri>, Bundesministerium der
Justiz und für Verbraucherschutz, 2019). Datasets used in the figures are
part of the following collections: “DWD Climate Data Center (CDC): Recent
daily station observations (temperature, pressure, precipitation, sunshine
duration, etc.) for Germany, 2019” and “DWD Climate Data Center (CDC):
Recent hourly station observations of precipitation for Germany, 2019”.</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e381">FKa wrote the manuscript with input from
all authors.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e387">The authors declare that they have no conflict of
interest.</p>
  </notes><notes notes-type="sistatement"><title>Special issue statement</title>

      <p id="d1e393">This article is part of the special issue “18th EMS Annual
Meeting: European Conference for Applied Meteorology and Climatology 2018”.
It is a result of the EMS Annual Meeting: European Conference for Applied
Meteorology and Climatology 2018, Budapest, Hungary, 3–7 September 2018.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e399">We would like to thank all members of our National Climate Data Center for
their continued efforts to build a quality-controlled database. We thank
Dirk Fuchs and Thorsten Schulz for their technical support in the development
of<?pagebreak page83?> the data portal. Two referees gave helpful comments to improve the
manuscript.</p></ack><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e404">This paper was edited by Renate Hagedorn and reviewed by
Johannes Melles and one anonymous referee.</p>
  </notes><ref-list>
    <title>References</title>

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      <ref id="bib1.bib2"><label>2</label><mixed-citation>Climate Data Center: <uri>https://cdc.dwd.de/portal</uri>, last access: 17 May
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  </ref-list></back>
    <!--<article-title-html>Interactive open access to climate  observations from Germany</article-title-html>
<abstract-html><p>During recent years, Germany's national meteorological service (Deutscher
Wetterdienst, DWD) has significantly expanded the open access to its climate
observations. A first step was a simple FTP-site with the possibility for
downloading archives with various categories of data, e.g. national and
international station-based meteorological data, derived parameters, gridded
products and special categories as e.g. phenological data. The data are based
on the observing systems of DWD for Germany as well as international
activities of DWD. To improve the interactive and user-friendly access to the
data, a new portal has been developed. The portal serves a variety of user
requirements that result from the broad range of applications of DWD's
climate data. Here we provide an overview of the new climate data portal of
DWD. It is based on a systematic implementation of OGC-based technologies. It
allows easy graphical access to the station data, but also supports access
via technical interfaces, esp. Web-Map- and Web-Feature-Services.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
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Kaspar, F. and Mächel, H.: Beobachtung von Klima und Klimawandel in
Mitteleuropa und Deutschland, in: Klimawandel in Deutschland – Entwicklung,
Folgen, Risiken und Perspektiven, edited by: Brasseur, G. P., Jacob, D., and
Schuck-Zöller, S., Springer, Berlin, Heidelberg, 17–26, <a href="https://doi.org/10.1007/978-3-662-50397-3_3" target="_blank">https://doi.org/10.1007/978-3-662-50397-3_3</a>, 2017.
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</mixed-citation></ref-html>--></article>
