Show simple item record

dc.contributor.authorRoberts, Clayton
dc.contributor.authorShorttle, Oliver
dc.contributor.authorMandel, Kaisey
dc.contributor.authorJones, Matthew
dc.contributor.authorIjzermans, Rutger
dc.contributor.authorHirst, Bill
dc.contributor.authorJonathan, Philip
dc.date.accessioned2022-06-07T23:30:20Z
dc.date.available2022-06-07T23:30:20Z
dc.date.issued2022-05-17
dc.identifier.issn1748-9326
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/337892
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.publisherIOP Publishing
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectphysics.ao-ph
dc.subjectphysics.ao-ph
dc.subjectphysics.geo-ph
dc.subjectstat.AP
dc.titleEnhanced monitoring of atmospheric methane from space over the Permian basin with hierarchical Bayesian inference
dc.typeArticle
dc.publisher.departmentInstitute of Astronomy
dc.publisher.departmentDepartment of Pure Mathematics And Mathematical Statistics
dc.date.updated2022-06-06T18:27:11Z
prism.publicationDate2022
prism.publicationNameEnvironmental Research Letters
dc.identifier.doi10.17863/CAM.85298
dcterms.dateAccepted2022-05-17
rioxxterms.versionofrecord10.1088/1748-9326/ac7062
rioxxterms.versionVoR
dc.contributor.orcidRoberts, Clayton [0000-0002-5184-7485]
dc.contributor.orcidShorttle, Oliver [0000-0002-8713-1446]
dc.contributor.orcidMandel, Kaisey [0000-0001-9846-4417]
dc.identifier.eissn1748-9326
rioxxterms.typeJournal Article/Review
cam.issuedOnline2022-05-17
cam.depositDate2022-06-06
pubs.licence-identifierapollo-deposit-licence-2-1
pubs.licence-display-nameApollo Repository Deposit Licence Agreement


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

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