Articles | Volume 22, issue 10
Research article
25 May 2022
Research article |  | 25 May 2022

The 2019 methane budget and uncertainties at 1° resolution and each country through Bayesian integration Of GOSAT total column methane data and a priori inventory estimates

John R. Worden, Daniel H. Cusworth, Zhen Qu, Yi Yin, Yuzhong Zhang, A. Anthony Bloom, Shuang Ma, Brendan K. Byrne, Tia Scarpelli, Joannes D. Maasakkers, David Crisp, Riley Duren, and Daniel J. Jacob


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-955', Anonymous Referee #1, 19 Feb 2022
  • RC2: 'Comment on acp-2021-955', Anonymous Referee #2, 22 Feb 2022
  • AC1: 'Comment on acp-2021-955', John Worden, 05 Apr 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by John Worden on behalf of the Authors (05 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (05 Apr 2022) by Bryan N. Duncan
ED: Publish as is (01 May 2022) by Bryan N. Duncan
Short summary
This paper is intended to accomplish two goals: 1) describe a new algorithm by which remotely sensed measurements of methane or other tracers can be used to not just quantify methane fluxes, but also attribute these fluxes to specific sources and regions and characterize their uncertainties, and 2) use this new algorithm to provide methane emissions by sector and country in support of the global stock take.
Final-revised paper