Articles | Volume 21, issue 12
Atmos. Chem. Phys., 21, 9609–9628, 2021
https://doi.org/10.5194/acp-21-9609-2021
Atmos. Chem. Phys., 21, 9609–9628, 2021
https://doi.org/10.5194/acp-21-9609-2021

Research article 28 Jun 2021

Research article | 28 Jun 2021

Bias-correcting carbon fluxes derived from land-surface satellite data for retrospective and near-real-time assimilation systems

Brad Weir et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Brad Weir on behalf of the Authors (17 Nov 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (18 Nov 2020) by Anita Ganesan
RR by Anonymous Referee #1 (04 Dec 2020)
ED: Reconsider after major revisions (08 Dec 2020) by Anita Ganesan
AR by Brad Weir on behalf of the Authors (12 Mar 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (01 Apr 2021) by Anita Ganesan
RR by Anonymous Referee #1 (23 Apr 2021)
ED: Publish as is (23 Apr 2021) by Anita Ganesan
Download
Short summary
We present a collection of carbon surface fluxes, the Low-order Flux Inversion (LoFI), derived from satellite observations of the Earth's surface and calibrated to match long-term inventories and atmospheric and oceanic records. Simulations using LoFI reproduce background atmospheric carbon dioxide measurements with comparable skill to the leading surface flux products. Available both retrospectively and as a forecast, LoFI enables the study of the carbon cycle as it occurs.
Altmetrics
Final-revised paper
Preprint