潘旸,沈艳,宇婧婧,赵平. 2012. 基于最优插值方法分析的中国区域地面观测与卫星反演逐时降水融合试验[J]. 气象学报, 70(6):1381-1389, doi:10.11676/qxxb2012.116
基于最优插值方法分析的中国区域地面观测与卫星反演逐时降水融合试验
Analysis of the combined gauge-satellite hourly precipitation over China based on the OI technique
投稿时间:2011-05-31  修订日期:2012-04-16
DOI:10.11676/qxxb2012.116
中文关键词:  最优插值,自动气象站观测,卫星与地面观测融合,高时空分辨率降水
英文关键词:Optimum interpolation (OI), Automatic weather stations, Gauge satellite combined, Highly spatial-temporal precipitation
基金项目:国家重点基础研究发展计划(973 计划)项目(2010CB951602)、公益性行业(气象)科研专项(GYHY201006042、GYHY200906003)
作者单位
潘旸 国家气象信息中心北京100081 
沈艳 国家气象信息中心北京100081 
宇婧婧 国家气象信息中心北京100081 
赵平 国家气象信息中心北京100081 
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中文摘要:
      为了发展一套适用于中国区域的高分辨率(0.1°×0.1°)逐时降水产品,以CMORPH卫星反演降水为背景场,以基于3万个自动气象站观测的逐时降水量分析的中国降水格点分析产品(Chinese Precipitation Analyses,CPA)作为地面观测场,采用最优插值方法对二者进行了融合试验。用2009年6—8月的样本统计分析了卫星反演与地面观测降水的误差及其协相关形式,按照误差结构来分配权重。融合试验的个例检验表明,该方案在有站点的地区能较好地引入地面观测信息,在没有站点观测的地区则保留CMORPH的原始信息,最终形成一套覆盖中国区域的高时空分辨率的降水场。2009年6—8月独立样本检验的统计结果也表明,该融合产品的平均偏差、均方根误差、相对误差分别为-0.004 mm/h、1.271 mm/h和15.964%,平均空间相关系数达到0.778,与融合前CMORPH的各统计值相比,改进幅度基本都超过了50%,且与风云系列卫星的同类型产品相比精度也有一定程度的提高。
英文摘要:
      In order to develop a high-quality Chinese precipitation product at the highly spatial temporal resolution, the optimum interpolation (OI) technique was adopted to combine the CMORPH with the Chinese Precipitation Analyses (CPA),which was based on the hourly gauged rainfall from about 30,000 automatic weather stations (AWS), at 0.1°lat/lon resolution. The CMORPH was set to the first guess, while the CPA was used as observations to modify the first guess. The error statistics of the first guess and observations were defined based on the data from June to August of 2009 and the error structures were employed to compute the weights. The examination of the combined precipitation (COMB) at 00:00 UTC 2 July 2009 showed that the CMORPH at the target grid was able to be improved by the CPA if the gauge within a searching radius was available. Otherwise, the CMORPH was remained where there was no gauge within the searching radius. The independent validation result of the COMB from June to August of 2009 was that, the Bias/RMSE/RE of the COMB were -0.004 mm/h, 1.271 mm/h and 15.964%, respectively, with the averaged spacial correlation coefficient of 0.778. It was indicated that the COMB had a better quality than the CMORPH, as well as the FY-2C merged precipitation product.
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