Articles | Volume 21, issue 3
Research article
09 Feb 2021
Research article |  | 09 Feb 2021

Atmospheric-methane source and sink sensitivity analysis using Gaussian process emulation

Angharad C. Stell, Luke M. Western, Tomás Sherwen, and Matthew Rigby


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Angharad Stell on behalf of the Authors (27 Nov 2020)  Author's response    Manuscript
ED: Publish as is (30 Nov 2020) by Bryan N. Duncan

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Angharad Stell on behalf of the Authors (19 Jan 2021)   Author's adjustment   Manuscript
EA: Adjustments approved (29 Jan 2021) by Bryan N. Duncan
Short summary
Although it is the second-most important greenhouse gas, our understanding of the atmospheric-methane budget is limited. The uncertainty highlights the need for new tools to investigate sources and sinks. Here, we use a Gaussian process emulator to efficiently approximate the response of atmospheric-methane observations to changes in the most uncertain emission or loss processes. With this new method, we rigorously quantify the sensitivity of atmospheric observations to budget uncertainties.
Final-revised paper