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作 者:钟宇璐 ZHONG Yu-lu(Nanjing University of Information Science and Technology,Nanjing,Jiangsu 210044)
出 处:《农业灾害研究》2021年第3期96-98,共3页Journal of Agricultural Catastrophology
摘 要:通过2018年5月14日—2019年12月31日2167个站点的地面气象站逐小时降水资料对风云四号A星(FY-4A)的先进静止轨道辐射成像仪(Advanced Geosynchronous Radiation Imager,AGRI)的业务降水估计产品进行评估检验。以地面气象站逐小时降水资料作为真值,AGRI业务降水产品的空报率为0.69、漏报率为0.60、命中率为0.40,平均偏差为-1.0131 mm,平均绝对误差为2.3622 mm,均方根误差为5.0235 mm。降水产品对小雨的降水量估计偏高,对中雨、大雨、暴雨的估计偏低。随着雨量等级的增大,产品对降水量的估计误差越来越大,因此所有雨量等级的样本整体的负偏差主要来自实况雨量较大时对降水量的低估。The hourly precipitation data from 2167 ground meteorological stations are used to verify and evaluate the quantitative precipitation estimation product of the FY-4A satellite by Advanced Geosynchronous Radiation Imager(AGRI)during May 14,2018 to December 31,2019.Taking the precipitation data of ground meteorological stations as the true value,the false alarm rate(FAR)of AGRI’s business precipitation products is 0.69,the missing alarm rate(MAR)is 0.60,the probability of detection(POD)is 0.40,the mean bias(MB)is-1.0131 mm the mean absolute error(MAE)is 2.3622 mm the root mean square error(RMSE)is 5.0235 mm.Precipitation products have high estimates of precipitation for light rain,and low estimates for other rainfall levels.As the rainfall level increases,the product has a greater error in the estimation of precipitation.Therefore,the overall negative deviation of the samples of all levels mainly comes from the underestimation of precipitation when the actual rainfall is larger.
分 类 号:P405[天文地球—大气科学及气象学]
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