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

被引：64

作者：

Chevallier, Frederic ^{[1
]}

Feng, Liang ^{[2
]}

Boesch, Hartmut ^{[3
]}

Palmer, Paul I. ^{[2
]}

Rayner, Peter J. ^{[1
]}

机构：

[1] CEA, CNRS, UVSQ, Lab Sci Climat & Environnement,IPSL, F-91191 Gif Sur Yvette, France

[2] Univ Edinburgh, Sch GeoSci, Edinburgh EH9 3JN, Midlothian, Scotland

[3] Univ Leicester, Dept Phys & Astron, Leicester LE1 7RH, Leics, England

来源：

GEOPHYSICAL RESEARCH LETTERS | 2010年 / 37卷

基金：

澳大利亚研究理事会; 英国自然环境研究理事会;

关键词：

Random errors - Budget control - Greenhouse gases;

D O I：

10.1029/2010GL044652

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

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.

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