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

Viewed

Total article views: 4,744 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,640 1,049 55 4,744 70 57
  • HTML: 3,640
  • PDF: 1,049
  • XML: 55
  • Total: 4,744
  • BibTeX: 70
  • EndNote: 57
Views and downloads (calculated since 06 Aug 2020)
Cumulative views and downloads (calculated since 06 Aug 2020)

Viewed (geographical distribution)

Total article views: 4,744 (including HTML, PDF, and XML) Thereof 4,791 with geography defined and -47 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Nov 2024
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