Articles | Volume 20, issue 14
https://doi.org/10.5194/acp-20-8473-2020
https://doi.org/10.5194/acp-20-8473-2020
Research article
 | 
21 Jul 2020
Research article |  | 21 Jul 2020

The potential of Orbiting Carbon Observatory-2 data to reduce the uncertainties in CO2 surface fluxes over Australia using a variational assimilation scheme

Yohanna Villalobos, Peter Rayner, Steven Thomas, and Jeremy Silver

Model code and software

Bayesian variational assimilation code py4dvar S. Thomas https://github.com/steven-thomas/py4dvar

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Short summary
Estimated carbon fluxes for Australia are subject to considerable uncertainty. We ran simulation experiments over Australia to determine how much these uncertainties can be constrained using satellite data. We found that the satellite data has the potential to reduce these uncertainties up to 80 % across the whole continent. For 1 month, this percentage corresponds to 0.51 Pg C y-1 for Australia. This method could lead to significantly more accurate estimates of Australia's carbon budget.
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