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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ESSDD</journal-id>
<journal-title-group>
<journal-title>Earth System Science Data Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">ESSDD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Earth Syst. Sci. Data Discuss.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1866-3591</issn>
<publisher><publisher-name></publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/essd-2020-378</article-id>
<title-group>
<article-title>High-resolution dataset of thermokarst lakes on the
Qinghai-Tibetan Plateau</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Chen</surname>
<given-names>Xu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mu</surname>
<given-names>Cuicui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jia</surname>
<given-names>Lin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Li</surname>
<given-names>Zhilong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fan</surname>
<given-names>Chengyan</given-names>
<ext-link>https://orcid.org/0000-0002-2601-2531</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mu</surname>
<given-names>Mei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Peng</surname>
<given-names>Xiaoqing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wu</surname>
<given-names>Xiaodong</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Key Laboratory of Western China&apos;s Environmental Systems (Ministry of Education), College of Earth  and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Cryosphere Research Station on Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resource, Chinese Academy of Sciences, Lanzhou, 730000, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), 519000, China</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>University Cooperation of Polar Research, Beijing, 100875, China</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>University of Chinese Academy of Sciences, Beijing, 100049, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>12</day>
<month>03</month>
<year>2021</year>
</pub-date>
<volume>2021</volume>
<fpage>1</fpage>
<lpage>23</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2021 Xu Chen et al.</copyright-statement>
<copyright-year>2021</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://essd.copernicus.org/preprints/essd-2020-378/">This article is available from https://essd.copernicus.org/preprints/essd-2020-378/</self-uri>
<self-uri xlink:href="https://essd.copernicus.org/preprints/essd-2020-378/essd-2020-378.pdf">The full text article is available as a PDF file from https://essd.copernicus.org/preprints/essd-2020-378/essd-2020-378.pdf</self-uri>
<abstract>
<p>&lt;p&gt;The Qinghai-Tibetan Plateau (QTP), the largest high-altitude and low-latitude permafrost zone
in the world, has experienced rapid permafrost degradation in recent decades, and one of the most
remarkable resulting characteristics is the formation of thermokarst lakes. Such lakes have attracted
significant attention because of their ability to regulate carbon cycle, water, and energy fluxes. However,
the distribution of thermokarst lakes in this area remains largely unknown, hindering our understanding
of the response of permafrost and its carbon feedback to climate change. Here, based on the Google Earth
Engine platform, we examined the modern distribution (2018) of thermokarst lakes on the QTP using
Sentinel-2A data; for the first time providing the true spatial distribution by using a resolution of 10&amp;thinsp;m
with a relative error of 0&amp;ndash;0.5. Results show that the total thermokarst lake area on the QTP is 1730.34&amp;thinsp;m&lt;sup&gt;2&lt;/sup&gt;&amp;thinsp;km&lt;sup&gt;2&lt;/sup&gt;, accounting for approximately 4&amp;thinsp;% of the total water area of lakes and ponds, and that overall
thermokarst lake density is 12/100&amp;thinsp;m&lt;sup&gt;2&lt;/sup&gt;&amp;thinsp;km&lt;sup&gt;2&lt;/sup&gt;. More specifically, the densities of thermokarst lakes in the
land types of alpine desert steppe (16/100&amp;thinsp;km&lt;sup&gt;2&lt;/sup&gt;) and barren land (17/100&amp;thinsp;km&lt;sup&gt;2&lt;/sup&gt;) were larger than those of
alpine meadows (13/100&amp;thinsp;km&lt;sup&gt;2&lt;/sup&gt;), alpine steppe (11/100&amp;thinsp;km&lt;sup&gt;2&lt;/sup&gt;), and wet meadow (11/100&amp;thinsp;km&lt;sup&gt;2&lt;/sup&gt;). These
findings provide a scientific foundation for future investigations into the effects of climate change on the
permafrost environment and carbon emissions from rapidly developing thermokarst landscapes. Data are
made available as open access via the National Tibetan Plateau Data Center (Chen et al., 2021) with DOI: 10.11888/Geocry.tpdc.271205 (&lt;a href=&quot; https://data.tpdc.ac.cn/en/data/c0c05207-568d-41db-ab94-8610bdcdbbe5/&quot;target=&quot;_blank&quot;&gt;https://data.tpdc.ac.cn/en/data/c0c05207-568d-41db-ab94-8610bdcdbbe5/&lt;/a&gt;).&lt;/p&gt;</p>
</abstract>
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