孟加拉湾风暴过程TRMM日降水数据变分订正及精度检验  

On TRMM daily precipitation data variational correction experiment and the accuracy verification for the bay of Bengal storm process

作　　者：段旭[1] 王曼[1] 段玮[1] 徐开[1] 

机构地区：[1]云南省气象科学研究所,云南昆明650034

出　　处：《云南大学学报（自然科学版）》2014年第1期51-58,共8页Journal of Yunnan University(Natural Sciences Edition)

基　　金：公益性行业专项(GYHY201106005)

摘　　要：利用逐日TRMM(3B42)和地面降水观测资料,对1998—2010年25个孟加拉湾风暴降水过程共184个降水日进行变分订正试验及精度检验分析,结果表明:①通过变分订正方法迭代建立的TRMM广义的误差场具有一致收敛性,收敛时无论逼近值大小如何,当取精度≤0.001 mm时,迭代次数均不超过800次;②订正后的TRMM场能较好地反映了地面观测网天气尺度信息,对降水量的离散特征有较好的描述,在无观测的区域,TRMM信息得到了充分体现;③TRMM值和TRMM订正值经过与未参与订正的100站观测值的平均均方根误差比较可知,所有订正后的样本的误差均小于订正前的误差,184个样本的平均误差由3.73 mm降低到了1.51 mm,订正效果对减小TRMM场的误差是显著的.This is an experimental research on the TRMM（3B42） data variational correction for a total of 184 days of precipitation in the 25 Bengal storm rainfall process during 1998--2010. The results show that：first- ly, the generalized error field of TRMM data which were based on variational correction method is uniform conver- gence. The number of iterations will be no more than 800 times when precision is equal or less than 0.001 mm, regardless of the approximate value being large or small. Secondly, the corrected TRMM field which embodied the synoptic scale information and was obtained by the ground observation network well described the discrete fea- tures of precipitation, especially for the regions lacking precipitation observation. In this case, TRMM data is of great help. Thirdly, considering the average RMSE of the original TRMM data and the corrected TRMM data a- gainst one hundred observations which are not involved in variation correction , the errors of corrected sample are less than those in the un - corrected, and the average error of 184 samples has been reduced from 3.73 mm to 1.51 mm. Evidently,variational correction helps to reduce the errors of TRMM field.

关 键 词：孟加拉湾风暴 TRMM降水数据 变分订正 精度检验 

分 类 号：P413[天文地球—大气科学及气象学]