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dc.contributor.authorRoberts, Clayton
dc.contributor.authorShorttle, Oliver
dc.contributor.authorMandel, Kaisey
dc.date.accessioned2022-05-19T23:30:34Z
dc.date.available2022-05-19T23:30:34Z
dc.identifier.issn1748-9326
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/337326
dc.description.abstractMethane is a strong greenhouse gas, with a higher radiative forcing per unit mass and shorter atmospheric lifetime than carbon dioxide. The remote sensing of methane in regions of industrial activity is a key step toward the accurate monitoring of emissions that drive climate change. Whilst the TROPOspheric Monitoring Instrument (TROPOMI) on board the Sentinal-5P satellite is capable of providing daily global measurement of methane columns, data are often compromised by cloud cover. Here, we develop a statistical model which uses nitrogen dioxide concentration data from TROPOMI to efficiently predict values of methane columns, expanding the average daily spatial coverage of observations of the Permian basin from 16% to 88% in the year 2019. The addition of predicted methane abundances at locations where direct observations are not available will support inversion methods for estimating methane emission rates at shorter timescales than is currently possible.
dc.description.sponsorshipSupport from Shell Research Ltd. via the Cambridge CDT in Data Intensive Science
dc.publisherInstitute of Physics (IoP)
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleEnhanced monitoring of atmospheric methane from space over the Permian basin with hierarchical Bayesian inference
dc.typeArticle
dc.publisher.departmentInstitute of Astronomy
dc.date.updated2022-05-19T10:08:30Z
prism.publicationNameEnvironmental Research Letters
dc.identifier.doi10.17863/CAM.84740
dcterms.dateAccepted2022-05-17
rioxxterms.versionofrecord10.1088/1748-9326/ac7062
rioxxterms.versionAM
dc.contributor.orcidRoberts, Clayton [0000-0002-5184-7485]
dc.contributor.orcidShorttle, Oliver [0000-0002-8713-1446]
dc.contributor.orcidMandel, Kaisey [0000-0001-9846-4417]
rioxxterms.typeJournal Article/Review
pubs.funder-project-idSTFC (ST/P006787/1)
cam.issuedOnline2022-05-17
cam.orpheus.success2022-05-19 - Embargo set during processing via Fast-track
cam.depositDate2022-05-19
pubs.licence-identifierapollo-deposit-licence-2-1
pubs.licence-display-nameApollo Repository Deposit Licence Agreement
rioxxterms.freetoread.startdate2022-05-17


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International