globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2017JD026453
论文题名:
Probabilistic global maps of the CO2 column at daily and monthly scales from sparse satellite measurements
作者: Chevallier F.; Broquet G.; Pierangelo C.; Crisp D.
刊名: Journal of Geophysical Research: Atmospheres
出版年: 2017
卷: 122, 期:14
起始页码: 7614
结束页码: 7629
语种: 英语
英文关键词: Kalman filter ; level 3 ; OCO-2 ; satellite ; XCO2
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. ©2017. American Geophysical Union. All Rights Reserved.
资助项目: "Some of this work was performed using HPC resources of DSM-CCRT and of CCRT under allocation t2016012201 made by GENCI (Grand Équipement National de Calcul Intensif). The ACOS OCO-2 data can be obtained from http://co2.jpl.nasa.gov. They were produced by the ACOS/OCO-2 project at the Jet Propulsion Laboratory, California Institute of Technology. The CAMS products can be obtained from http://atmosphere.copernicus.eu/. TCCON data were obtained from the TCCON Data Archive, hosted by the Carbon Dioxide Information Analysis Center (CDIAC) at Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA, http://tccon.ornl.gov. The authors are very grateful to the many people involved in the surface and satellite CO2 measurements and in the archiving of these data that were kindly made available to them. They received funding from the French space agency, CNES, as part of the preparation for the MERLIN satellite, and from the Copernicus Atmosphere Monitoring Service, implemented by the European Centre for Medium-Range Weather Forecasts (ECMWF) on behalf of the European Commission. They also thank Christopher O'Dell (CSU) for many inspiring discussions about the ACOS retrievals and François-Marie Bréon (LSCE) for his careful reading of an earlier version of the paper.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62616
Appears in Collections:影响、适应和脆弱性
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, L'Orme des Merisiers, Gif-sur-Yvette, France; Centre National d'Études Spatiales, Toulouse, France; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States

Recommended Citation:
Chevallier F.,Broquet G.,Pierangelo C.,et al. Probabilistic global maps of the CO2 column at daily and monthly scales from sparse satellite measurements[J]. Journal of Geophysical Research: Atmospheres,2017-01-01,122(14)
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