摘要
利用商洛地区国家气象站点实测降水数据,从时间和空间尺度,运用相关分析、偏差、均方根误差等统计方法对TRMM卫星降水数据在商洛地区的适用性进行了分析,在此基础上采用比值系数法对TRMM卫星月降水产品进行订正。结果表明:(1)在时间尺度上,TRMM月降水数据与站点实测月降水数据线性高度相关(R>0.9)。(2)对月、季和年尺度的TRMM和站点降水量进行比较,决定系数均在0.8以上,拟合优度较高,季降水量拟合结果较月降水量有所提高。(3)利用比值系数法对TRMM降水产品进行偏差订正,验证结果表明,订正后的TRMM月降水结果均方根误差<2.0 mm,平均绝对误差均<1.5 mm,决定系数接近于1。TRMM月降水量与实测月降水量时间序列趋势一致,拟合性较高,分布规律相一致。总体上,降水量多的月份,TRMM数据倾向于低估降水量,反之,高估站点降水量。通过对TRMM卫星降水产品在商洛地区的精度评估和订正,为该地区地面降水数据提供有效补充。
Based on the observational precipitation data of national meteorological stations and TRMM satellite data in Shangluo area,the applicability of TRMM satellite precipitation data in Shangluo area is analyzed by using statistical analysis methods,such as correlation analysis,deviation and root mean square error for time and space scales.On this basis,the ratio coefficient method is used to correct the monthly precipitation products of TRMM satellite.The results showed that:(1)On the time scale,the monthly precipitation data of TRMM is highly linearly correlated with the observational monthly precipitation data of the stations(R>0.9).(2)Comparing the monthly,seasonal and annual TRMM precipitation with station precipitation,the determination coefficient R2 is more than 0.8 with a higher goodness of fit,and the seasonal precipitation has a better fit result than monthly precipitation.(3)The ratio coefficient method is used to correct the deviation of TRMM precipitation products,and the results show that the RMSE and MAE of the TRMM monthly precipitation are less than 2.0 mm and 1.5 mm,respectively,the determination coefficient is close to 1.The TRMM monthly precipitation have the same trends of time series and distribution regularities with the observations,and with a higher goodness of fit.In general,the TRMM monthly precipitation tend to underestimate precipitation in month with high precipitation,on the contrary,overestimate the precipitation.Through the accuracy evaluation and revision of TRMM satellite precipitation products in Shangluo area,it provides an effective supplement for the surface precipitation data in this area.
作者
杨荣芳
杨彬云
康晓甫
YANG Rongfang;YANG Binyun;KANG Xiaopu(Hebei Meteorological Technology Equipment Center,Shijiazhuang 050021,China;Shangluo Laboratory of Climate Adaptive City,Shangluo 726000,China;Hebei Institute of Meteorological Science,Shijiazhuang 050021,China)
出处
《沙漠与绿洲气象》
2022年第3期62-67,共6页
Desert and Oasis Meteorology
基金
商洛市气候适应型城市重点实验室开放研究基金项目(SLSYS2019009)。
关键词
TRMM降水
商洛地区
精度评估
比值系数法
订正
TRMM precipitation
Shangluo area
accuracy evaluation
ratio coefficient method
correction
