Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017JD026453 |
Probabilistic global maps of the CO2 column at daily and monthly scales from sparse satellite measurements | |
Chevallier, Frederic1; Broquet, Gregoire1; Pierangelo, Clemence2; Crisp, David3 | |
2017-07-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:14 |
文章类型 | Article |
语种 | 英语 |
国家 | France; USA |
英文摘要 | The column-average dry air-mole fraction of carbon dioxide in the atmosphere (XCO2) is measured by scattered satellite measurements like those from the Orbiting Carbon Observatory (OCO-2). We show that global continuous maps of XCO2 (corresponding to level 3 of the satellite data) at daily or coarser temporal resolution can be inferred from these data with a Kalman filter built on a model of persistence. Our application of this approach on 2 years of OCO-2 retrievals indicates that the filter provides better information than a climatology of XCO2 at both daily and monthly scales. Provided that the assigned observation uncertainty statistics are tuned in each grid cell of the XCO2 maps from an objective method (based on consistency diagnostics), the errors predicted by the filter at daily and monthly scales represent the true error statistics reasonably well, except for a bias in the high latitudes of the winter hemisphere and a lack of resolution (i.e., a too small discrimination skill) of the predicted error standard deviations. Due to the sparse satellite sampling, the broad-scale patterns of XCO2 described by the filter seem to lag behind the real signals by a few weeks. Finally, the filter offers interesting insights into the quality of the retrievals, both in terms of random and systematic errors. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000408346000024 |
WOS关键词 | ERROR STATISTICS ; ATMOSPHERIC CO2 ; ACOS-GOSAT ; SCIAMACHY ; TANSO ; VALIDATION ; SURFACE ; XCO2 ; MACC |
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/33841 |
专题 | 气候变化 |
作者单位 | 1.CEA CNRS UVSQ, Lab Sci Climat & Environm, Gif Sur Yvette, France; 2.Ctr Natl Etud Spatiales, Toulouse, France; 3.CALTECH, Jet Prop Lab, Pasadena, CA USA |
推荐引用方式 GB/T 7714 | Chevallier, Frederic,Broquet, Gregoire,Pierangelo, Clemence,et al. Probabilistic global maps of the CO2 column at daily and monthly scales from sparse satellite measurements[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(14). |
APA | Chevallier, Frederic,Broquet, Gregoire,Pierangelo, Clemence,&Crisp, David.(2017).Probabilistic global maps of the CO2 column at daily and monthly scales from sparse satellite measurements.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(14). |
MLA | Chevallier, Frederic,et al."Probabilistic global maps of the CO2 column at daily and monthly scales from sparse satellite measurements".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.14(2017). |
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