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卫星反演降水产品误差随时空分辨率和雨强的变化特征分析
引用本文:旷达,沈艳,牛铮,王李娟.卫星反演降水产品误差随时空分辨率和雨强的变化特征分析[J].遥感信息,2012,27(4):75-81,100.
作者姓名:旷达  沈艳  牛铮  王李娟
作者单位:1. 西藏高原大气环境科学研究所,拉萨,850000
2. 国家气象信息中心,北京,100081
3. 中国科学院遥感应用研究所遥感科学国家重点实验室,北京,100101
4. 中国科学院遥感应用研究所遥感科学国家重点实验室,北京100101;中国科学院研究生院,北京100139
基金项目:国家重点基础研究发展规划项目,公益性行业(气象)科研专项,国家自然科学基金,西藏自治区重点科技计划项目,中国气象局成都高原气象开放实验室基金
摘    要:卫星反演降水产品作为降水资料获取的一种重要途径,其精度往往因时空尺度和雨强的不同而变化。本文以美国CMORPH卫星反演降水产品为研究对象,以2008年~2010年夏季中国东部的降水格点分析场为参考值,以均方根误差RMSE作为误差分析指标,定量化地探究了CMORPH产品的误差随时间分辨率、空间分辨率和雨强的变化规律。结果表明:卫星反演降水产品的误差随空间分辨率和时间分辨率的增大呈现递减的趋势,随雨强的增大而呈现出递增的趋势。进一步的分析发现:空间分辨率对误差的影响规律可以采用y=a*e-b*x函数进行拟合,时间分辨率和雨强对误差的影响规律可以采用y=a*x-b函数进行拟合。在此基础上,构建了CMORPH产品随时空分辨率和雨强等3种因素而变化的误差模型σr=a*e-b*A*T-c*Rd。针对误差模型的适用性分析表明:误差公式在多数研究区均表现出良好的适用性。

关 键 词:卫星反演降水  误差估计  时空分辨率  雨强

Analysis on Uncertainty of Satellite Retrieved Precipitation Products at Various Temporal & Spatial Resolutions and Rain Rate Levels
KUANG Da , SHEN Yan , NIU Zheng , WANG Li-juan.Analysis on Uncertainty of Satellite Retrieved Precipitation Products at Various Temporal & Spatial Resolutions and Rain Rate Levels[J].Remote Sensing Information,2012,27(4):75-81,100.
Authors:KUANG Da  SHEN Yan  NIU Zheng  WANG Li-juan
Affiliation:③,④(① Tibet Institute of Plateau Atmospheric and Environmental Science,Lhasa 850001;② National Meteorological Information Center,Beijing 100081;③ The State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing Applications,ChineseAcademy of Sciences,Beijing 100101;④ Graduate University of Chinese Academy of Sciences,Beijing 100039)
Abstract:As the key way of acquiring precipitation data,the satellite-based precipitation product’s uncertainty is largely dependent on the temporal and spatial scale and rain rate.This paper systematically examines the RMSE of CMORPH product at different temporal and spatial resolutions over 15 selected 5°×5° boxes.The study is based on the detailed analysis of precipitation in the summer of 2008~2010 in east China.The uncertainty estimated results show that the relative RMSE of CMORPH is to decrease by the degree of both temporal and spatial resolution,and to increase by the level of rain rate.Both the decrease by temporal resolution and increase by rain rate level could be simulated well by a power function,while the decrease by spatial resolution could be simulated well by e-exponential function.An uncertainty model has been built,which is integrated with the temporal & spatial resolutions and rain rate.The analysis shows that the model fits most test areas very well.
Keywords:satellite retrieved precipitation  uncertainty estimate  temporal and spatial resolution  rain rate
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