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.

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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