Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 21, issue 12
Articles | Volume 21, issue 12
https://doi.org/10.5194/acp-21-9609-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-9609-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 12
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

Data sets

NOAA CarbonTracker 2016 release NOAA CarbonTracker Team https://gml.noaa.gov/aftp/products/carbontracker/co2/CT2016/

NOAA CarbonTracker 2017 release NOAA CarbonTracker Team https://gml.noaa.gov/aftp/products/carbontracker/co2/CT2017/

CAMS version 17, revision 1 carbon dioxide 3-hourly surface fluxes CAMS Team https://apps.ecmwf.int/datasets/data/cams-ghg-inversions/

Jena CarboScope Jena CarboScope Team http://www.bgc-jena.mpg.de/CarboScope/

2018 Global Carbon Budget Global Carbon Project https://www.globalcarbonproject.org/carbonbudget/archive/2018/GCP_CarbonBudget_2018.pptx

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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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