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<front>
<journal-meta>
<journal-id journal-id-type="publisher">EGUsphere</journal-id>
<journal-title-group>
<journal-title>EGUsphere</journal-title>
<abbrev-journal-title abbrev-type="publisher">EGUsphere</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">EGUsphere</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub"></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/egusphere-2026-2290</article-id>
<title-group>
<article-title>Comprehensive validation of MODIS atmospheric temperature profile data across mainland China using sounding observations</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhang</surname>
<given-names>Wenjie</given-names>
<ext-link>https://orcid.org/0000-0002-4463-6014</ext-link>
</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>Qu</surname>
<given-names>Mengxi</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>Sun</surname>
<given-names>Ranhao</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhao</surname>
<given-names>Jiarui</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>Ning</surname>
<given-names>Guicai</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Inamov</surname>
<given-names>Aziz</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mamatkulovd</surname>
<given-names>Zokhid</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhou</surname>
<given-names>Di</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pulatov</surname>
<given-names>Bakhtiyor</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yang</surname>
<given-names>Yuanjian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<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 Climate System Prediction and Risk Management, Nanjing University of Information Science and   Technology, Nanjing 210044, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>State Key Laboratory of Regional and Urban Ecology</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 21004, China</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent 100043, Uzbekistan</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an 710071, China</addr-line>
</aff>
<aff id="aff6">
<label>6</label>
<addr-line>Central Asian University of Environmental and Climate Change Studies, Tashkent, Uzbekistan</addr-line>
</aff>
<pub-date pub-type="epub">
<day>05</day>
<month>05</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>28</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Wenjie Zhang 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://egusphere.copernicus.org/preprints/2026/egusphere-2026-2290/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-2290/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-2290/egusphere-2026-2290.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-2290/egusphere-2026-2290.pdf</self-uri>
<abstract>
<p>The vertical profile of atmospheric temperature is crucial for understanding energy transfer within the climate system. The Moderate Resolution Imaging Spectroradiometer (MODIS) atmospheric profile product (MOD07_L2) provides vertical temperature profiles at 5 km spatial resolution. However, comprehensive validation of its absolute accuracy&amp;mdash;particularly for lower tropospheric stability (LTS) and temperature inversion layer (TIL) detection&amp;mdash;remains limited. Therefore, this study conducted systematic evaluations using sounding data from 74 stations across mainland China spanning 2003&amp;ndash;2020, encompassing both daytime and nighttime periods. Results indicated that absolute retrieval accuracy was generally superior at nighttime compared to daytime, with MOD07_L2 demonstrating better performance in upper layers (400&amp;ndash;620 hPa) than in lower layers (850&amp;ndash;1000 hPa). Nonetheless, retrieval errors at the 700 hPa level exhibited a more pronounced bias (B) relative to other pressure levels. In contrast, LTS accuracy was higher during daytime (r = 0.74, B = 0.04 &amp;deg;C, RMSE = 4.52 &amp;deg;C) than at nighttime (r = 0.57, B = 0.3 &amp;deg;C, RMSE = 6.78 &amp;deg;C).For TIL, MOD07_L2 displayed limited detection capability, achieving an overall detection rate of 6.6 % during daytime and 13.1 % at nighttime. This study provides essential data support for atmospheric science, hydrology, and ecology fields that rely on high-resolution vertical temperature profiles.</p>
</abstract>
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