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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-2024-1568</article-id>
<title-group>
<article-title>The role of OCO-3 XCO&lt;sub&gt;2&lt;/sub&gt; retrievals in estimating global terrestrial net ecosystem exchanges</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wang</surname>
<given-names>Xingyu</given-names>
<ext-link>https://orcid.org/0009-0009-0088-1358</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>Jiang</surname>
<given-names>Fei</given-names>
<ext-link>https://orcid.org/0000-0003-1744-7565</ext-link>
</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="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wang</surname>
<given-names>Hengmao</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>Zhang</surname>
<given-names>Zhengqi</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>Mousong</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>Wang</surname>
<given-names>Jun</given-names>
<ext-link>https://orcid.org/0000-0001-7359-1647</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>He</surname>
<given-names>Wei</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>Ju</surname>
<given-names>Weimin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Chen</surname>
<given-names>Jingming</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing, 210023, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Department of Geography and Planning, University of Toronto, Toronto, Ontario M5S3G3, Canada</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Zhejiang Carbon Neutral Innovation Institute, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>Frontiers Science Center for Critical Earth Material Cycling, Nanjing University, Nanjing, 210023, China</addr-line>
</aff>
<aff id="aff6">
<label>6</label>
<addr-line>School of Geographical Sciences, Fujian Normal University, Fuzhou, 350007, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>14</day>
<month>06</month>
<year>2024</year>
</pub-date>
<volume>2024</volume>
<fpage>1</fpage>
<lpage>26</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2024 Xingyu Wang et al.</copyright-statement>
<copyright-year>2024</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/2024/egusphere-2024-1568/">This article is available from https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1568/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1568/egusphere-2024-1568.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1568/egusphere-2024-1568.pdf</self-uri>
<abstract>
<p>Satellite-based column-averaged dry air CO&lt;sub&gt;2&lt;/sub&gt; mole fraction (XCO&lt;sub&gt;2&lt;/sub&gt;) retrievals are frequently used to improve the estimates of terrestrial net carbon exchanges (NEE). The Orbiting Carbon Observatory 3 (OCO-3) satellite, launched in May 2019, was designed to address important questions about the distribution of carbon fluxes on Earth, but its role in estimating global terrestrial NEE remains unclear. Here, using the Global Carbon Assimilation System, version 2, we investigate the impact of OCO-3 XCO&lt;sub&gt;2&lt;/sub&gt; on the estimation of global NEE by assimilating the OCO-3 XCO&lt;sub&gt;2&lt;/sub&gt; retrievals alone and in combination with the OCO-2 XCO&lt;sub&gt;2&lt;/sub&gt; retrievals. The results show that when only the OCO-3 XCO&lt;sub&gt;2&lt;/sub&gt; is assimilated (Exp_OCO3), the estimated global land sink is significantly lower than that from the OCO-2 experiment (Exp_OCO2). The estimate from the joint assimilation of OCO-3 and OCO-2 (Exp_OCO3&amp;amp;2) is comparable on a global scale to that of Exp_OCO2. However, there are significant regional differences. Compared to the observed global annual CO&lt;sub&gt;2&lt;/sub&gt; growth rate, Exp_OCO3 has the largest bias, and Exp_OCO3&amp;amp;2 shows the best performance. Furthermore, validation with independent CO&lt;sub&gt;2&lt;/sub&gt; observations shows that the biases of the Exp_OCO3 are significantly larger than those of Exp_OCO2 and Exp_OCO3&amp;amp;2 at mid and high latitudes, probably due to the fact that OCO-3 only has observations from 52&amp;deg; S to 52&amp;deg; N. Our study indicates that assimilating OCO-3 XCO&lt;sub&gt;2&lt;/sub&gt; retrievals alone leads to an underestimation of land sinks at high latitudes, and that a joint assimilation of OCO-2 and OCO-3 XCO&lt;sub&gt;2&lt;/sub&gt; retrievals is required for a better estimation of global terrestrial NEE.</p>
</abstract>
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