{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T02:21:30Z","timestamp":1775182890751,"version":"3.50.1"},"reference-count":61,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T00:00:00Z","timestamp":1733270400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100008398","name":"Villum Fonden","doi-asserted-by":"publisher","award":["40709"],"award-info":[{"award-number":["40709"]}],"id":[{"id":"10.13039\/100008398","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>After stabilizing in the mid-2000s, atmospheric methane (CH4) levels have accelerated over the past decade. In response, satellite-based inversion techniques have been employed to meet the increasing demands of the climate community. In this study, the Integrated Methane Inversion (IMI) model, a novel approach based on the TROPOspheric Monitoring Instrument (TROPOMI), is used to quantify CH4 emissions across Denmark. Over 900,000 TROPOMI observations from spring to early autumn of 2018\u20132022 were used to inform the inversions. Overall, TROPOMI CH4 concentrations within the inversion domain showed an upward trend of approximately 12.71 ppb per year, reflecting the global trend. Excluding 2022, which included only four months of data, the inversions suggest an underestimation of emissions by 190(160\u2013215) \u00d7 103 tonnes, or 66(56\u201375)% of prior estimates. Northern and southern Jutland, along with the Copenhagen metropolitan area, were identified as key sources of CH4 emissions. Additionally, the inversions indicated a decline in emissions during the COVID-19 pandemic, despite stable activity data. This study demonstrates the feasibility of using the IMI model to monitor CH4 emissions in small countries like Denmark, offering a satellite-based perspective to better identify and mitigate these emissions.<\/jats:p>","DOI":"10.3390\/rs16234554","type":"journal-article","created":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T10:07:10Z","timestamp":1733306830000},"page":"4554","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Quantifying Methane Emissions Using Satellite Data: Application of the Integrated Methane Inversion (IMI) Model to Assess Danish Emissions"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4972-4486","authenticated-orcid":false,"given":"Angel Liduvino","family":"Vara-Vela","sequence":"first","affiliation":[{"name":"Department of Geoscience, Aarhus University, 8000 Aarhus, Denmark"},{"name":"Department of Physics and Astronomy, Aarhus University, 8000 Aarhus, Denmark"},{"name":"iCLIMATE, Aarhus University Interdisciplinary Centre for Climate Change, Aarhus University, 4000 Roskilde, Denmark"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8431-6528","authenticated-orcid":false,"given":"Noelia","family":"Rojas Benavente","sequence":"additional","affiliation":[{"name":"Institute of Physics, University of S\u00e3o Paulo, S\u00e3o Paulo 05508-090, Brazil"}]},{"given":"Ole-Kenneth","family":"Nielsen","sequence":"additional","affiliation":[{"name":"Department of Environmental Science, Aarhus University, 4000 Aarhus, Denmark"}]},{"given":"Janaina Pinto","family":"Nascimento","sequence":"additional","affiliation":[{"name":"NOAA ESRL Global Systems Laboratory, Boulder, CO 80305, USA"},{"name":"Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO 80309, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7444-6302","authenticated-orcid":false,"given":"Rafaela","family":"Alves","sequence":"additional","affiliation":[{"name":"Department of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences, University of S\u00e3o Paulo, S\u00e3o Paulo 05508-090, Brazil"}]},{"given":"Mario","family":"Gavidia-Calderon","sequence":"additional","affiliation":[{"name":"Department of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences, University of S\u00e3o Paulo, S\u00e3o Paulo 05508-090, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2009-7965","authenticated-orcid":false,"given":"Christoffer","family":"Karoff","sequence":"additional","affiliation":[{"name":"Department of Geoscience, Aarhus University, 8000 Aarhus, Denmark"},{"name":"Department of Physics and Astronomy, Aarhus University, 8000 Aarhus, Denmark"},{"name":"iCLIMATE, Aarhus University Interdisciplinary Centre for Climate Change, Aarhus University, 4000 Roskilde, Denmark"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,4]]},"reference":[{"key":"ref_1","unstructured":"Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S.L., P\u00e9an, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., and Gomis, M.I. 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