Articles | Volume 22, issue 16
Research article
25 Aug 2022
Research article |  | 25 Aug 2022

Global and regional carbon budget for 2015–2020 inferred from OCO-2 based on an ensemble Kalman filter coupled with GEOS-Chem

Yawen Kong, Bo Zheng, Qiang Zhang, and Kebin He


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-183', Anonymous Referee #1, 18 May 2022
  • RC2: 'comment on acp-2022-183', Anonymous Referee #2, 19 May 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Bo Zheng on behalf of the Authors (27 Jun 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (29 Jul 2022) by Abhishek Chatterjee
Short summary
We developed a Bayesian atmospheric inversion system based on the 4D local ensemble transform Kalman filter (4D-LETKF) algorithm coupled with GEOS-Chem from the latest Orbiting Carbon Observatory-2 (OCO-2) V10r XCO2 retrievals. This is the first adaptation of 4D-LETKF to an OCO-2-based global carbon inversion system. We inferred global gridded carbon fluxes and investigated their magnitudes, variations, and partitioning schemes to understand the global and regional carbon budgets for 2015–2020.
Final-revised paper