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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-2026-396</article-id>
<title-group>
<article-title>A Monthly 30 m Dataset of Lakes Larger than 1 km&amp;sup2; on the Tibetan Plateau from 2001 to 2025</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tiwari</surname>
<given-names>Aashish</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Liu</surname>
<given-names>Qiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Liang</surname>
<given-names>Liqiao</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>State Key Laboratory of Wetland Conservation and Restoration, School of Environment, Beijing Normal university, Beijing 100875, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Key Laboratory for Water and Sediment Sciences, Ministry of Education, School of Environment, Beijing Normal University, Beijing 100875, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>07</day>
<month>09</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>19</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Aashish Tiwari et al.</copyright-statement>
<copyright-year>2026</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-2026-396/">This article is available from https://essd.copernicus.org/preprints/essd-2026-396/</self-uri>
<self-uri xlink:href="https://essd.copernicus.org/preprints/essd-2026-396/essd-2026-396.pdf">The full text article is available as a PDF file from https://essd.copernicus.org/preprints/essd-2026-396/essd-2026-396.pdf</self-uri>
<abstract>
<p>Long-term monthly records of lake dynamics are critical for understanding hydrological and climatic change on the TP. However, existing products are constrained by factors such as cloud cover, snow and ice contamination, terrain shadow, observational gaps, and scale-related bias. Here we present a new monthly dataset of lakes larger than 1 km&amp;sup2; across the TP for 2001&amp;ndash;2025 at 30 m spatial resolution. The dataset was generated using TSRFD framework integrating MODIS, Landsat and terrain variables, with refinement steps to improve mapping accuracy and boundary consistency. Technical validation against three reference datasets showed strong spatial agreement (IoU = 0.80&amp;ndash;0.92) and very high consistency in lake area estimates (R&amp;sup2; &amp;gt; 0.99). Uncertainty analysis indicated that most lake-months were classified as having low to moderate uncertainty. From 2001 to 2025, lakes on the TP expanded in both number increasing by 20.6 % and total area expanding by 22.9 %, despite interannual variability. Small lakes contributed to the increase in lake number, while larger lakes were responsible for most to area expansion. Both metrics showed clear seasonal peaks in late summer. This dataset provides a valuable long-term resource for investigating lake dynamics, hydrological variability, and climate-lake interactions in high-altitude regions.</p>
</abstract>
<counts><page-count count="19"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>National Natural Science Foundation of China</funding-source>
<award-id>42271141</award-id>
</award-group>
<award-group id="gs2">
<funding-source>National Natural Science Foundation of China</funding-source>
<award-id>42571159</award-id>
</award-group>
<award-group id="gs3">
<funding-source>Science and Technology Department of Tibet Autonomous Region</funding-source>
<award-id>XZ202401ZY0050</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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