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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-2026-3797</article-id>
<title-group>
<article-title>Understanding the sources and variability of methane emissions in Madrid with Sentinel-5P TROPOMI, GHGSat, and aircraft observations</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Potts</surname>
<given-names>Daniel A.</given-names>
<ext-link>https://orcid.org/0000-0001-8077-509X</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>Sembhi</surname>
<given-names>Harjinder</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>Dogniaux</surname>
<given-names>Matthieu</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>Maasakkers</surname>
<given-names>Joannes D.</given-names>
<ext-link>https://orcid.org/0000-0001-8118-0311</ext-link>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Schuit</surname>
<given-names>Berend J.</given-names>
<ext-link>https://orcid.org/0000-0003-1768-3592</ext-link>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Schuettemeyer</surname>
<given-names>Dirk</given-names>
<ext-link>https://orcid.org/0000-0003-1112-5477</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>Hummel</surname>
<given-names>Timon</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>Barrio Guillo</surname>
<given-names>Rocio</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>Schneising</surname>
<given-names>Oliver</given-names>
<ext-link>https://orcid.org/0000-0003-1725-8246</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>Guanter</surname>
<given-names>Luis</given-names>
<ext-link>https://orcid.org/0000-0002-8389-5764</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>Aben</surname>
<given-names>Ilse</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>University of Leicester, UK</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>SRON Space Research Organisation Netherlands, Leiden, the Netherlands</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>European Space Agency</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Institute of Environmental Physics, University of Bremen, Bremen, Germany</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>Universitat Politècnica de València (UPV), Spain</addr-line>
</aff>
<pub-date pub-type="epub">
<day>31</day>
<month>08</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>44</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Daniel A. Potts 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-2026-3797/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3797/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3797/egusphere-2026-3797.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3797/egusphere-2026-3797.pdf</self-uri>
<abstract>
<p>Routine, passive monitoring using satellite sensors offers an effective means of understanding the location, frequency and intensity of industrial methane emissions. Satellites have been used largely to identify fugitive point source emissions in sectors such as oil and gas, but their efficacy for more diffuse sources such as landfills is less established, and formal integration into official reporting and compliance frameworks has yet to be achieved. A persistent methane hotspot originating from Madrid was identified using TROPOMI, where it remains one of the largest signals in Europe. Two landfills, Las Dehesas and Pinto, were identified as significant contributors based on GHGSat observations.&lt;/p&gt;
&lt;p&gt;This study presents a comprehensive analysis of the TROPOMI and GHGSat observational record up to 2024 for Madrid, alongside aircraft observations, all contextualised against previous short-term studies, facility-scale reporting, and gridded inventories. Plume-based city-scale emissions averaged 13 &amp;plusmn; 9 t/hr from TROPOMI compared to ~8 t/hr from the gridded inventories. Facility-scale emissions ranged from 2.5 &amp;plusmn; 1.3 t/hr (Las Dehesas) and 3.8 &amp;plusmn; 2.0 t/hr (Pinto) from GHGSat, and 3.0 &amp;plusmn; 1.8 to 4.6 &amp;plusmn; 2.7 t/hr respectively from aircraft, compared to reported averages of 0.4 and 1.0 t/hr between 2018&amp;ndash;2024. Measurement-derived rates exceeded reported estimates by a factor of 0.5&amp;ndash;6, highlighting a severe gap between bottom-up inventory and top-down observational approaches. We discuss challenges associated with satellite interpretation and meteorology, connect emissions to on-site management practices, and make recommendations towards operational use of these datasets.</p>
</abstract>
<counts><page-count count="44"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>European Space Agency</funding-source>
<award-id>ESA CCI</award-id>
</award-group>
</funding-group>
</article-meta>
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