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长三角地区常用遥感降水产品质量评估 被引量:2

Quality Evaluation of Precipitation Products Commonly Used by Remote Sensing in the Yangtze River Delta
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摘要 长三角地区是中国经济最发达地区之一,选定较好的卫星降水产品是进行科学防灾减灾的重要环节。基于地面气象站降水实测数据,采用7种指标对目前中外常用遥感降水产品热带降水任务卫星(tropical rainfall measurement mission,TRMM)、气候预测中心校正产品(climate prediction center morphing technique,CMORPH)、全球降水计划数据集(global precipitation measurement,GPM)以及中国自动站与CMORPH降水产品融合数据集(China merged precipitation analysis,CMPA)在长三角地区的适用性进行评估。结果表明:在年尺度,CMPA产品质量最优,相关系数达到0.95;在季节尺度,冬季GPM最优,夏季TRMM最优;平原地区比山区地区的产品质量要好。融合多降水产品的高精度产品未来将成为科学防灾减灾的重要数据。 The Yangtze River Delta region is one of the most economically developed regions in China.Choosing better satellite precipitation products are an important part of scientific disaster prevention and mitigation.Seven indicators were used to evaluate the applicability of remote sensing precipitation products:tropical rainfall measurement mission(TRMM),climate prediction center morphing technique(CMORPH),global precipitation measurement(GPM),and China merged precipitation analysis(CMPA)in the Yangtze River Delta region based on the precipitation data from the weather stations.The results show that on the annual scale,the CMPA product quality is the best,with a correlation coefficient of 0.95.On the seasonal scale,the GPM in winter is the best,and the TRMM in the summer is the best,the product quality in plain areas is better than mountain areas.High-precision products that incorporation of precipitation-rich products will become important data for scientific disaster prevention and mitigation in the future.
作者 李强宇 楚岱蔚 朱晓晨 LI Qiang-yu;CHU Dai-wei;ZHU Xiao-chen(School of Applied Meteorology,Nanjing University of Information Science&Technology,Nanjing 210044,China;Yuhang District Meteorological Bureau of Hangzhou City,Zhejiang Province,Hangzhou 311100,China)
出处 《科学技术与工程》 北大核心 2021年第12期4801-4810,共10页 Science Technology and Engineering
基金 国家自然科学基金(41805049) 南京信息工程大学人才启动项目(2018r009)。
关键词 卫星降水产品 融合降水资料 全球降水计划数据集(GPM) 气候预测中心校正产品(CMORPH) 适用性评估 satellite precipitation products fusion precipitation data global precipitation measurement(GPM) climate prediction center morphing technique(CMORPH) applicability assessment
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