{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T22:32:37Z","timestamp":1768516357016,"version":"3.49.0"},"reference-count":36,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2021,3,16]],"date-time":"2021-03-16T00:00:00Z","timestamp":1615852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"S5P-MPC","award":["4000117151\/16\/I-LG"],"award-info":[{"award-number":["4000117151\/16\/I-LG"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The nationwide lockdown due to the COVID-19 pandemic in 2020 reduced industrial and human activities in China. In this study, we investigate atmospheric carbon monoxide (CO) concentration changes during the lockdown from observations at the surface and from two satellites (TROPOspheric Monitoring Instrument (TROPOMI) and Infrared Atmospheric Sounding Interferometer (IASI)). It is found that the average CO surface concentration in 2020 was close to that in 2019 before the lockdown, and became 18.7% lower as compared to 2019 during the lockdown. The spatial variation of the change in the CO surface concentration is high, with an 8\u201327% reduction observed for Beijing, Shanghai, Chengdu, Zhengzhou, and Guangzhou, and almost no change in Wuhan. The TROPOMI and IASI satellite observations show that the CO columns decreased by 2\u201313% during the lockdown in most regions in China. However in South China, there was an 8.8% increase in the CO columns observed by TROPOMI and a 36.7% increase observed by IASI, which is contrary to the 23% decrease in the surface CO concentration. The enhancement of the CO column in South China is strongly affected by the fire emissions transported from Southeast Asia. This study provides an insight into the impact of COVID-19 on CO concentrations both at the surface and in the columns in China, and it can be extended to evaluate other areas using the same approach.<\/jats:p>","DOI":"10.3390\/rs13061129","type":"journal-article","created":{"date-parts":[[2021,3,16]],"date-time":"2021-03-16T21:42:41Z","timestamp":1615930961000},"page":"1129","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Change of CO Concentration Due to the COVID-19 Lockdown in China Observed by Surface and Satellite Observations"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3427-5873","authenticated-orcid":false,"given":"Minqiang","family":"Zhou","sequence":"first","affiliation":[{"name":"Royal Belgian Institute for Space Aeronomy (BIRA-IASB), 1180 Brussels, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingyi","family":"Jiang","sequence":"additional","affiliation":[{"name":"The College of Forestry, Beijing Forestry University, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bavo","family":"Langerock","sequence":"additional","affiliation":[{"name":"Royal Belgian Institute for Space Aeronomy (BIRA-IASB), 1180 Brussels, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bart","family":"Dils","sequence":"additional","affiliation":[{"name":"Royal Belgian Institute for Space Aeronomy (BIRA-IASB), 1180 Brussels, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1440-1529","authenticated-orcid":false,"given":"Mahesh","family":"Sha","sequence":"additional","affiliation":[{"name":"Royal Belgian Institute for Space Aeronomy (BIRA-IASB), 1180 Brussels, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martine","family":"De Mazi\u00e8re","sequence":"additional","affiliation":[{"name":"Royal Belgian Institute for Space Aeronomy (BIRA-IASB), 1180 Brussels, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,3,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1239","DOI":"10.1001\/jama.2020.2648","article-title":"Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China","volume":"323","author":"Wu","year":"2020","journal-title":"JAMA"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"638","DOI":"10.1126\/science.abb6105","article-title":"An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China","volume":"368","author":"Tian","year":"2020","journal-title":"Science"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"200705","DOI":"10.1098\/rsos.200705","article-title":"A COVID-19 descriptive study of life after lockdown in Wuhan, China","volume":"7","author":"Zhou","year":"2020","journal-title":"R. 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