Improvements in rainfall estimation over Bangkok,Thailand by merging satellite,radar,and gauge rainfall datasets with the geostatistical method

作     者：Parichat Wetchayont Chaiwat Ekkawatpanit Sunsern Rueangrit Jittawat Manduang 

作者机构：Department of GeographyFaculty of Social SciencesSrinakharinwirot UniversityBangkokThailand Civil Engineering DepartmentKing Mongkut’s University of Technology ThonburiBangkokThailand Drainage information DivisionDrainage and Sewerage DepartmentBangkok Metropolitan AdministrationBangkokThailand Department of MicrobiologyFaculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand 

出 版 物：《Big Earth Data》 (地球大数据（英文）)

年 卷 期：2023年第7卷第2期

页      面：251-275页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0837[工学-安全科学与工程] 0815[工学-水利工程] 0706[理学-大气科学] 0816[工学-测绘科学与技术] 

基　　金：Srinakharinwirot University,Thailand,grant number[035/2563] Thailand Science Research and Innovation(TSRI)Basic Research Fund:Fiscal year 2022 under project number[FRB650048/0164]. 

主　　题：QPE merging weather radar Himawari-8 Bangkok 

摘      要：Bangkok is located in a low land area,and floods frequently occur from rainfall,river discharge,and tides.High-accuracy rainfall data are needed to achieve high-accuracy flood predictions from hydrological models.The main objective of this study is to establish a method that improves the accuracy of precipitation estimates by merging rainfall from three sources:an infrared channel from the Himawari-8 satellite,rain gauges,and ground-based radar observations.This study applied cloud classification and bias correction using rain gauges to discriminate these errors.The bias factors were interpolated using the ordinary kriging(OK)method to fill in the areas of estimated rainfall where no rain gauge was available.The results show that bias correction improved the accuracy of radar and Himawari-8 rainfall estimates before their combination.The merged algorithm was then adopted to produce hourly merged rainfall products(GSR).Compared to the initial estimated product,the GSR is significantly more accurate.The merging algorithm increases the spatial resolution and quality of rainfall estimates and is simple to use.Furthermore,these findings not only reveal the potential and limitations of the merged algorithm but also provide useful information for future retrieval algorithm enhancement.