Articles | Volume 21, issue 12
https://doi.org/10.5194/acp-21-9609-2021
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, Lesley E. Ott, George J. Collatz, Stephan R. Kawa, Benjamin Poulter, Abhishek Chatterjee, Tomohiro Oda, and Steven Pawson

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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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
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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.
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