The ACOS CO2 retrieval algorithm - Part 1: Description and validation against synthetic observations

被引:440
作者
O'Dell, C. W. [1 ]
Connor, B. [2 ]
Boesch, H. [3 ]
O'Brien, D. [1 ]
Frankenberg, C. [4 ]
Castano, R. [4 ]
Christi, M. [1 ]
Crisp, D. [4 ]
Eldering, A. [4 ]
Fisher, B. [4 ]
Gunson, M. [4 ]
McDuffie, J. [4 ]
Miller, C. E. [4 ]
Natraj, V. [4 ]
Oyafuso, F. [4 ]
Polonsky, I. [1 ]
Smyth, M. [4 ]
Taylor, T. [1 ]
Toon, G. C. [4 ]
Wennberg, P. O. [5 ]
Wunch, D. [5 ]
机构
[1] Colorado State Univ, Ft Collins, CO 80523 USA
[2] BC Consulting Ltd, Alexandra, South Africa
[3] Univ Leicester, Leicester, Leics, England
[4] CALTECH, Jet Prop Lab, Pasadena, CA USA
[5] CALTECH, Pasadena, CA USA
基金
美国国家航空航天局;
关键词
BULK SCATTERING PROPERTIES; ATMOSPHERIC CO2; REFLECTED SUNLIGHT; CARBON-DIOXIDE; ICE CLOUDS; COLUMN; CH4; SPECTROMETER; MODEL; UNCERTAINTIES;
D O I
10.5194/amt-5-99-2012
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This work describes the NASA Atmospheric CO2 Observations from Space (ACOS) X-CO2 retrieval algorithm, and its performance on highly realistic, simulated observations. These tests, restricted to observations over land, are used to evaluate retrieval errors in the face of realistic clouds and aerosols, polarized non-Lambertian surfaces, imperfect meteorology, and uncorrelated instrument noise. We find that post-retrieval filters are essential to eliminate the poorest retrievals, which arise primarily due to imperfect cloud screening. The remaining retrievals have RMS errors of approximately 1 ppm. Modeled instrument noise, based on the Greenhouse Gases Observing SATellite (GOSAT) in-flight performance, accounts for less than half the total error in these retrievals. A small fraction of unfiltered clouds, particularly thin cirrus, lead to a small positive bias of similar to 0.3 ppm. Overall, systematic errors due to imperfect characterization of clouds and aerosols dominate the error budget, while errors due to other simplifying assumptions, in particular those related to the prior meteorological fields, appear small.
引用
收藏
页码:99 / 121
页数:23
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