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DOI | 10.1002/2017JD027013 |
Application of a PCA-Based Fast Radiative Transfer Model to XCO2 Retrievals in the Shortwave Infrared | |
Somkuti, P.1,2; Boesch, H.1,2; Natraj, V.3; Kopparla, P.4 | |
2017-10-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:19 |
文章类型 | Article |
语种 | 英语 |
国家 | England; USA |
英文摘要 | In this work, we extend the principal component analysis (PCA)-based approach to accelerate radiative transfer (RT) calculations by accounting for the spectral variation of aerosol properties. Using linear error analysis, the errors induced by this fast RT method are quantified for a large number of simulated Greenhouse Gases Observing Satellite (GOSAT) measurements (N approximate to 30,000). The computational speedup of the approach is typically 2 orders of magnitude compared to a line-by-line discrete ordinates calculation with 16 streams, while the radiance residuals do not exceed 0.01% for the most part compared to the same baseline calculations. We find that the errors due to the PCA-based approach tend to be less than 0.06ppm for both land and ocean scenes when two or more empirical orthogonal functions are used. One advantage of this method is that it maintains the high accuracy over a large range of aerosol optical depths. This technique shows great potential to be used in operational retrievals for GOSAT and other remote sensing missions. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000413675900009 |
WOS关键词 | SCATTERING ; CO2 ; UNCERTAINTIES ; PERFORMANCE ; VALIDATION ; ALGORITHM |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/32306 |
专题 | 气候变化 |
作者单位 | 1.Univ Leicester, Dept Phys & Astron, Earth Observat Sci Grp, Leicester, Leics, England; 2.Univ Leicester, Natl Ctr Earth Observat, Leicester, Leics, England; 3.NASA, JPL, Pasadena, CA USA; 4.CALTECH, Div Geol & Planetary Sci, Pasadena, CA 91125 USA |
推荐引用方式 GB/T 7714 | Somkuti, P.,Boesch, H.,Natraj, V.,et al. Application of a PCA-Based Fast Radiative Transfer Model to XCO2 Retrievals in the Shortwave Infrared[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(19). |
APA | Somkuti, P.,Boesch, H.,Natraj, V.,&Kopparla, P..(2017).Application of a PCA-Based Fast Radiative Transfer Model to XCO2 Retrievals in the Shortwave Infrared.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(19). |
MLA | Somkuti, P.,et al."Application of a PCA-Based Fast Radiative Transfer Model to XCO2 Retrievals in the Shortwave Infrared".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.19(2017). |
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