Enhanced monitoring of atmospheric methane from space over the Permian basin with hierarchical Bayesian inference

Roberts, Clayton and Shorttle, Oliver and Mandel, Kaisey and Jones, Matthew and Ijzermans, Rutger and Hirst, Bill and Jonathan, Philip (2022) Enhanced monitoring of atmospheric methane from space over the Permian basin with hierarchical Bayesian inference. Environmental Research Letters, 17 (6). ISSN 1748-9326

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Abstract

Abstract: Methane 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.

Item Type:
Journal Article
Journal or Publication Title:
Environmental Research Letters
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2100/2105
Subjects:
ID Code:
171400
Deposited By:
Deposited On:
07 Jun 2022 08:15
Refereed?:
Yes
Published?:
Published
Last Modified:
22 Nov 2022 11:31