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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-2026-3792</article-id>
<title-group>
<article-title>Constraining 2020 methane emissions in the Eastern Mediterranean and Middle East using TROPOMI satellite data</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Vojta</surname>
<given-names>Martin</given-names>
<ext-link>https://orcid.org/0000-0001-8386-5381</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>Subramanian</surname>
<given-names>Rakesh</given-names>
<ext-link>https://orcid.org/0000-0001-7545-1242</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>Gialesakis</surname>
<given-names>Nikos</given-names>
<ext-link>https://orcid.org/0000-0002-8765-0860</ext-link>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Thompson</surname>
<given-names>Rona L.</given-names>
<ext-link>https://orcid.org/0000-0001-9485-7176</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>Stohl</surname>
<given-names>Andreas</given-names>
<ext-link>https://orcid.org/0000-0002-2524-5755</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>Kanakidou</surname>
<given-names>Maria</given-names>
<ext-link>https://orcid.org/0000-0002-1724-9692</ext-link>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Meteorology and Geophysics, University of Vienna, Vienna, Austria</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Department of Chemistry, Environmental Chemical Processes Laboratory (ECPL), University of Crete, Crete, Greece</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Institute of Environmental Physics, Laboratory for Modeling and Observation of the Earth System (LAMOS), and Center for Marine Environmental Sciences (MARUM), University of Bremen, Bremen, Germany</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>NILU, Kjeller, Norway</addr-line>
</aff>
<pub-date pub-type="epub">
<day>21</day>
<month>07</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>38</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Martin Vojta 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-2026-3792/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3792/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3792/egusphere-2026-3792.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3792/egusphere-2026-3792.pdf</self-uri>
<abstract>
<p>Methane (CH&lt;sub&gt;4&lt;/sub&gt;) is the second most abundant anthropogenic greenhouse gas after CO&lt;sub&gt;2&lt;/sub&gt;. Emissions from the Eastern Mediterranean and Middle East (EMME) are important, as the region hosts a large share of global oil and gas production and thus offers significant mitigation potential. We use TROPOMI satellite observations in combination with the Lagrangian transport model FLEXPART and the inversion framework FLEXINVERT+ to estimate CH&lt;sub&gt;4&lt;/sub&gt; emissions in the EMME region for 2020. We perform sensitivity experiments to address methodological challenges and better quantify emission uncertainties.&lt;/p&gt;
&lt;p&gt;Our inversions show robust downward corrections of emissions around the Persian Gulf relative to the EDGAR v8.0 inventory, consistent with the recently released EDGAR_2025_GHG dataset, yielding total emissions of 22.4 (&amp;plusmn;1.9) Tg yr&lt;sup&gt;&amp;minus;1&lt;/sup&gt; in the EMME region. At the national scale, we derive emissions of 4.6 (&amp;plusmn;0.4), 3.6 (&amp;plusmn;1.1), 3.5 (&amp;plusmn;0.8), 2.8 (&amp;plusmn;0.4), and 1.9 (&amp;plusmn;0.4) Tg yr&lt;sup&gt;&amp;minus;1&lt;/sup&gt; CH&lt;sub&gt;4&lt;/sub&gt; for Iran, Saudi Arabia, Turkey, Iraq, and Egypt, respectively. While many countries in the region appear to substantially underestimate their emissions, Greece, subject to mandatory reporting requirements, reports emissions comparable to our inversion estimates. Our results suggest a decrease in emissions in the EMME region during 2020, coinciding with reduced oil demand during the COVID-19 epidemic.&lt;/p&gt;
&lt;p&gt;Our satellite-based inversions provide robust constraints in regions with strong emission signals and good observational coverage (e.g. Iran, Iraq), while other regions show greater sensitivity to uncertainty settings and prior estimates. Our sensitivity analyses highlight the importance of baseline optimization and its associated uncertainty.</p>
</abstract>
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<funding-group>
<award-group id="gs1">
<funding-source>European Commission</funding-source>
<award-id>101071247</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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