DOI: 10.1002/grl.50228
论文题名: Error statistics of Bayesian CO2 flux inversion schemes as seen from GOSAT
作者: Chevallier F. ; O'Dell C.W.
刊名: Geophysical Research Letters
ISSN: 0094-9232
EISSN: 1944-8963
出版年: 2013
卷: 40, 期: 6 起始页码: 1252
结束页码: 1256
语种: 英语
英文关键词: Atmospheric inversion
; CO2 fluxes
; GOSAT
; optimal estimation
Scopus关键词: Atmospheric inversions
; GOSAT
; Greenhouse gases observing satellites
; Optimal estimations
; Satellite retrieval
; Sources of uncertainty
; Statistical modeling
; Surface concentration
; Computer simulation
; Error statistics
; Errors
; Probability distributions
; Surface measurement
; Uncertainty analysis
; Carbon dioxide
; Bayesian analysis
; carbon dioxide
; carbon flux
; concentration (composition)
; error analysis
; GOSAT
; greenhouse gas
; measurement method
; numerical model
英文摘要: Statistical modeling is at the root of CO2 atmospheric inversion systems, but few studies have focused on the quality of their assigned probability distributions. In this paper, we assess the reliability of the error models that are in input and in output of a specific CO2 atmospheric inversion system when it assimilates surface air sample measurements. We confront these error models with the mismatch between 4D simulations of CO 2 and independent satellite retrievals of the total CO2 column. Taking all sources of uncertainties into account, it is shown that both prior and posterior errors are consistent with the actual departures, to the point that the theoretical error reduction brought by the surface measurements on the simulation of the Greenhouse gases Observing SATellite (GOSAT) total column measurements (15%) corresponds to the actual reduction seen over the midlatitude and tropical lands and over the tropical oceans. Key Points Prior and posterior errors are consistent with the departures to GOSAT Biases in GOSAT retrievals should be kept within 0.2 ppm for flux inversion Inversion from surface concentrations fits GOSAT well within GOSAT errors. ©2013 American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876947664&doi=10.1002%2fgrl.50228&partnerID=40&md5=10ef8b26169dcd805cc6eceebb679d33
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/6496
Appears in Collections: 气候减缓与适应
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作者单位: Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, Gif-sur-Yvette, France
Recommended Citation:
Chevallier F.,O'Dell C.W.. Error statistics of Bayesian CO2 flux inversion schemes as seen from GOSAT[J]. Geophysical Research Letters,2013-01-01,40(6).