我国全球大气再分析(CRA-40)卫星遥感资料的收集和预处理

Collection and Pre-Processing of Satellite Remote-Sensing Data in CRA-40 (CMA's Global Atmospheric ReAnalysis)

  • 摘要: 卫星资料对数值天气预报准确率的影响非常显著。可用于1979年以来全球大气再分析的卫星资料,来源于80余颗卫星的约60种星载传感器,卫星观测资料数据格式的标准化、长时间序列数据使用和均一化处理技术难点多。在推进我国全球大气再分析(CRA-40,1979—2018年)研发时,已优先开展并全面完成了83.5TB的1979年以来53种115个子类气象卫星资料的收集整合。介绍了面向我国全球大气再分析所用卫星资料的收集整合情况、对应于10年再分析试制产品CRA-Interim(2007—2016年)的数据格式标准化和卫星资料数据质量预评估等观测资料预处理情况。近年发布的重处理卫星数据产品已替换了原同期业务产品。所收集整合的这些历史和实时卫星资料,已逐步通过全国综合气象信息共享平台(CIMISS)归档和提供应用服务。

     

    Abstract: Satellite data is of signi ficance on the accuracy of numerical forecast. The satellite data were used for global atmospheric reanalysis collected from more than 80 satellites, about 60 kinds of space-borne sensors since 1979. There are a number of dif ficulties in the satellite observational data format conversion, long time series data application and homogenization. So far, 83.5 TB in 53 kinds (115 sub kinds) of meteorological satellite data are collected and integrated for researches on the CMA's global atmospheric Re-Analysis (CRA-40, 1979-2018) in the first stage. This paper reviewed and summarized the satellite data collection and integration for global atmospheric reanalysis, the data pre-processing such as data format conversion and the pre-evaluating satellite data quality. We focus on the CRA-Interim (2007-2016) reanalysis products. The reprocessed satellite products released for recent years will replace the old operational products. These historical and real-time satellite data are achieved and shared gradually via the China Integrated Meteorological Information Service System (CIMISS).

     

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