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.

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Latest update: 06 Oct 2022
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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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