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高分辨率遥感降水资料在青海湖流域及周边区域的适用性评价 被引量:5

Evaluation of High-Resolution Remote Sensing Precipitation Data in and near Qinghai Lake Basin
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摘要 基于气象站观测数据,利用探测率(POD)、报错率(FAR)、临界成功系数(CSI)和相关系数(R)、平均绝对误差(MAE)对TRMM 3B42V7、CMORPH、PERSIANN、PERSIANN-CDR遥感降水资料在青海湖流域及周边区域探测降水事件的准确度和记录降水量的精度进行了评价。结果表明,CMORPH数据探测的降水事件最为准确,PERSIANN-CDR和TRMM 3B42次之,PERSIANN探测降水事件的准确度最差。从遥感数据记录降水量精度来看,年尺度上表现为TRMM>CMORPH>PERSIANN-CDR>PERSIANN,月尺度上表现为TRMM>PERSIANN-CDR>CMORPH>PERSIANN,日尺度上表现为TRMM>CMORPH>PERSIANN-CDR>PERSIANN。海拔是影响遥感降水资料精度的重要因素,PERSIANN和PERSIANN-CDR两种数据误差受海拔影响更为明显。通过综合评估4种遥感资料的适用性,认为TRMM是较适合于青海湖流域及周边区域的降水资料。 Based on the precipitation data from the meteorological stations,this paper applied probability of detection(POD),false alarm ratio(FAR),critical success index(CSI),correlation coefficient(R)and mean absolute error(MAE)to evaluate the accuracy of precipitation events and precision of precipitation recorded by the remote sensing precipitation data of TRMM 3B42V7,CMORPH,PERSIANN and PERSIANN-CDR in the Qinghai Lake basin and its surrounding areas.The results show that the most accurate precipitation events detected are CMORPH data,followed by PERSIANN-CDR,TRMM 3B42 and PERSIANN.From the precipitation precision of remote sensing data,TRMM performs the best on the annual,monthly and daily scale,followed by CMORPH-PERSIANN-CDR-PERSIANN and PERSIANN-CDR-CMORPH-PERSIANN and CMORPH-PERSIANN-CDR-PERSIANN respectively.The altitude is one of the important factors affecting the accuracy of remote sensing precipitation data,and the errors of PERSIANN and PERSIANN-CDR are more obviously affected by the altitude.It is considered that TRMM precipitation data is more suitable in and near the Qinghai Lake basin.
作者 张乐乐 高黎明 陈克龙 ZHANG Lele;GAO Liming;CHEN Kelong(School of Geography Science,Qinghai Normal University,Xining 810008,China;MOE Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation,Xining 810008,China;Qinghai Province Key Laboratory of Phyical Geography and Environmental Process,Xining 810008,China)
出处 《水文》 CSCD 北大核心 2020年第5期15-21,共7页 Journal of China Hydrology
基金 国家自然科学基金项目(41705139,41661023) 青海省自然科学基金项目(2017-ZJ-951Q)。
关键词 降水资料 TRMM CMORPH PERSIANN PERSIANN-CDR 青海湖流域 precipitation data TRMM CMORPH PERSIANN PERSIANN-CDR Qinghai Lake basin
作者简介 张乐乐(1986-),男,河南新安人,副教授,主要从事寒区水文与地表过程方面的研究工作。E-mail:zhang1986lele@163.com;通讯作者:高黎明(1986-),女,甘肃兰州人,副教授,主要从事生态水文方面的研究工作。E-mail:gaogaotahj@163.com。
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