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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">1812-2116</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-2025-2560</article-id>
<title-group>
<article-title>Enhancing Evapotranspiration Estimates Under Climate Change: The Role of CO&lt;sub&gt;2&lt;/sub&gt; Physiological Feedback and CMIP6 Scenarios</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yang</surname>
<given-names>Xiaofan</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>Chen</surname>
<given-names>Yu</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>Qiu</surname>
<given-names>Han</given-names>
<ext-link>https://orcid.org/0000-0001-9962-2472</ext-link>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bento</surname>
<given-names>Virgílio A.</given-names>
<ext-link>https://orcid.org/0000-0001-9574-3090</ext-link>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Song</surname>
<given-names>Hongquan</given-names>
<ext-link>https://orcid.org/0000-0002-2900-1651</ext-link>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shui</surname>
<given-names>Wei</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>Zeng</surname>
<given-names>Jingyu</given-names>
<ext-link>https://orcid.org/0000-0002-5892-6098</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>Wang</surname>
<given-names>Qianfeng</given-names>
<ext-link>https://orcid.org/0000-0002-8460-6821</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>College of Environment &amp; Safety Engineering, Fuzhou University, Fuzhou, 350116, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>School of Public Administration and Policy, RENMIN UNIVERSITY OF CHINA, Beijing, 100872, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Department of Sustainable Earth System Sciences, University of Texas at Dallas, Richardson, TX, USA</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>University of Lisbon, Faculty of Sciences, Instituto Dom Luiz, Lisbon, Portugal</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>College of Geography and Environmental Science, Henan University, 475004 Kaifeng, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>16</day>
<month>07</month>
<year>2025</year>
</pub-date>
<volume>2025</volume>
<fpage>1</fpage>
<lpage>30</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2025 Xiaofan Yang et al.</copyright-statement>
<copyright-year>2025</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/2025/egusphere-2025-2560/">This article is available from https://egusphere.copernicus.org/preprints/2025/egusphere-2025-2560/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2025/egusphere-2025-2560/egusphere-2025-2560.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2025/egusphere-2025-2560/egusphere-2025-2560.pdf</self-uri>
<abstract>
<p>The future state of global evapotranspiration (ET) estimation under climate change remains uncertain. Current formulations primarily developed based on the high emission CMIP5 scenario, have been widely used to represent conditions under elevated greenhouse gas pathways. However, these formulations may not adequately capture the enhanced vegetation&amp;ndash;climate interactions projected under the lower-emission scenarios of CMIP6. Without updates to account for evolving plant physiological responses to rising CO&lt;sub&gt;2&lt;/sub&gt;, projections may overlook critical feedbacks between atmospheric CO&lt;sub&gt;2&lt;/sub&gt; concentrations, vegetation behavior, and hydrological processes.&lt;/p&gt;
&lt;p&gt;To address this, developing CMIP6-specific formulations is essential to leverage its improved datasets and reduce uncertainties in future ET simulations. In this study, we update the Penman-Monteith evapotranspiration (PM-ET) model by incorporating the CO&lt;sub&gt;2&lt;/sub&gt;-vegetation coupling effect. This is achieved using outputs from four Coupled Model Intercomparison Project Phase 6 (CMIP6) global climate models (GCMs) under four Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5).&lt;/p&gt;
&lt;p&gt;Results indicate a sustained historical increase in potential evapotranspiration (Ep). Compared to earlier frameworks based on Coupled Model Intercomparison Project Phase (CMIP5) data, the inclusion of CO&lt;sub&gt;2&lt;/sub&gt; physiological effects reduces the deviation in projected ET trends by approximately 15&amp;ndash;20 %, accounting for the increase in stomatal resistance driven by CO&lt;sub&gt;2&lt;/sub&gt; concentrations rising from ~284 ppm to ~935 ppm. Furthermore, our model predicts an increasing dependence of ET projections on emission scenario, highlighting the growing influence of pathway-specific feedbacks.&lt;/p&gt;
&lt;p&gt;Overall, our approach demonstrates greater compatibility with CMIP6 simulations, allowing for more accurate representation of ET responses to future CO&lt;sub&gt;2&lt;/sub&gt; increases. These findings provide valuable insights for advancing the analysis of nonlinear vegetation-atmosphere interactions and hydrological uncertainty under climate and physiological forcings.</p>
</abstract>
<counts><page-count count="30"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>National Key Research and Development Program of China</funding-source>
<award-id>2023YFC3006604</award-id>
</award-group>
<award-group id="gs2">
<funding-source>Natural Science Foundation of Fujian Province</funding-source>
<award-id>2021J01627</award-id>
</award-group>
</funding-group>
</article-meta>
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