An Evaluation of Satellite Remote Sensing Data Products for Land Surface Hydrology: Atmospheric Infrared Sounder*
An Evaluation of Satellite Remote Sensing Data Products for Land Surface Hydrology: Atmospheric Infrared Sounder*
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DOI：
10.1175/2010jhm1217.1
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发表时间：
2010-12
影响因子：
3.8
通讯作者：
C. Ferguson;E. Wood
中科院分区：
文献类型：
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作者：
C. Ferguson;E. Wood
本文利用美国国家气候数据中心（NCDC）的现场观测资料，评价了瞬时大气红外探测仪（AIRS）反演近地面气象的能力，包括地表表面温度（Ts）、气温（Ta）、比湿（q）、相对湿度（RH）以及模式反演的地面气压（Psurf）和10米风速（w）。来自北美陆地数据同化系统（NLDAS）的离线数据，以及来自旋转增强可见光和红外成像仪（SEVIRI）的地球同步遥感（RS）数据。在没有现成的实地数据的地区进行基于遥感的水循环监测需要这些数据。这项研究是在美国大陆和非洲进行的，为期6年多（2002-08）。对于这两个区域，它首次提供了AIRS检索性能的地理分布。通过条件采样，检索错误的现场大气和地面条件的属性。这...
Abstract The skill of instantaneous Atmospheric Infrared Sounder (AIRS) retrieved near-surface meteorology, including surface skin temperature (Ts), air temperature (Ta), specific humidity (q), and relative humidity (RH), as well as model-derived surface pressure (Psurf) and 10-m wind speed (w), is evaluated using collocated National Climatic Data Center (NCDC) in situ observations, offline data from the North American Land Data Assimilation System (NLDAS), and geostationary remote sensing (RS) data from the Spinning Enhanced Visible and Infrared Imager (SEVIRI). Such data are needed for RS-based water cycle monitoring in areas without readily available in situ data. The study is conducted over the continental United States and Africa for a period of more than 6 years (2002–08). For both regions, it provides for the first time the geographic distribution of AIRS retrieval performance. Through conditional sampling, attribution of retrieval errors to scene atmospheric and surface conditions is performed. Th...