MIRS GPM降水反演

Shuyan Liu, C. Grassotti, Q. Liu
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引用次数: 1

摘要

微波综合检索系统(MIRS)是美国国家海洋和大气管理局(NOAA)自2007年以来提供卫星衍生信息的操作系统。该系统已扩展到基于全球降水测量微波成像仪(GPM/GMI)观测辐射量的变量检索。反演算法是一种一维变分(1DVAR)方案,在各个传感器之间是一致的,并使用迭代方法,在这种方法中,在其他约束条件下,寻求最适合观测到的卫星辐射的解决方案。利用群落辐射传输模型(CRTM)作为正演和雅可比算子,在拟合测量值到噪声级之前,模拟每次迭代的辐射值。本文介绍了MiRS检索算法,将其扩展到GPM/GMI,并对几个参考数据集进行了验证,包括国家环境预测中心(NCEP)第四阶段降水分析,以及欧洲中期天气预报中心(ECMWF)。结果表明,MiRS能够准确、自一致地获取大气水汽、水成物和地表降水的详细信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The MIRS GPM precipitation retrieval
The Microwave Integrated Retrieval System (MIRS) is an operational system at National Oceanic and Atmospheric Administration (NOAA) providing satellite derived information since 2007. The system has been extended to retrieve variables based on the Global Precipitation Measurement Microwave Imager (GPM/GMI) instrument observed radiances. The inversion algorithm is a One-Dimensional Variational (1DVAR) scheme and is consistent across sensors and uses an iterative approach in which a solution is sought that best fits the observed satellite radiances, subject to other constraints. The Community Radiative Transfer Model (CRTM) is used as the forward and Jacobian operator to simulate the radiances at each iteration prior to fitting the measurements to within the noise level. This paper describes the MiRS retrieval algorithm, its extension to GPM/GMI, and validation against several reference data sets, including National Centers for Environmental Prediction (NCEP) Stage IV precipitation analyses, as well as with the European Centre for Medium-Range Weather Forecasts (ECMWF). Results indicate that MiRS can retrieve details of the atmospheric water vapor, hydrometeors and surface precipitation in an accurate and self-consistent manner.
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