On the impact of transport model errors for the estimation of CO2 surface fluxes from GOSAT observations

Frederic Chevallier, Liang Feng, Hartmut Boesch, Paul I. Palmer, Peter J. Rayner

Research output: Contribution to journalArticlepeer-review

Abstract

A series of observing system simulation experiments is presented in which column averaged dry air mole fractions of CO2 (X-CO2) from the Greenhouse gases Observing SATellite (GOSAT) are made consistent or not with the transport model embedded in a flux inversion system. The GOSAT observations improve the random errors of the surface carbon budget despite the inconsistency. However, we find biases in the inferred surface CO2 budget of a few hundred MtC/a at the subcontinental scale, that are caused by differences of only a few tenths of a ppm between the simulations of the individual X-CO2 soundings. The accuracy and precision of the inverted fluxes are little sensitive to an 8-fold reduction in the data density. This issue is critical for any future satellite constellation to monitor X-CO2 and should be pragmatically addressed by explicitly accounting for transport errors in flux inversion systems. Citation: Chevallier, F., L. Feng, H. Bosch, P. I. Palmer, and P. J. Rayner (2010), On the impact of transport model errors for the estimation of CO2 surface fluxes from GOSAT observations, Geophys. Res. Lett., 37, L21803, doi:10.1029/2010GL044652.

Original languageEnglish
Article numberL21803
Pages (from-to)-
Number of pages5
JournalGeophysical Research Letters
Volume37
DOIs
Publication statusPublished - 3 Nov 2010

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