Evaluation of CRU TS, GPCC, AgMERRA, and AgCFSR meteorological datasets for estimating climate and crop variables: A case study of maize in Qazvin Province, Iran

作     者：Faraz GORGIN PAVEH Hadi RAMEZANI ETEDALI Brian COLLINS Faraz GORGIN PAVEH;Hadi RAMEZANI ETEDALI;Brian COLLINS

作者机构：Syracuse UniversitySyracuse 13244USA Imam Khomeini International UniversityQazvin 34149-16818Iran Centre for Crop ScienceThe University of QueenslandBrisbane 4072Australia 

出 版 物：《Journal of Arid Land》 (干旱区科学（英文版）)

年 卷 期：2022年第14卷第12期

页      面：1361-1376页

核心收录：

学科分类：0828[工学-农业工程] 08[工学] 

基　　金：AgCFSR FAO 

主　　题：climate variables crop variables meteorological datasets precipitation reference evapotranspiration irrigation requirement Iran 

摘      要：In the past few decades,meteorological datasets from remote sensing techniques in agricultural and water resources management have been used by various researchers and *** on the literature,meteorological datasets are not more accurate than synoptic stations,but their various advantages,such as spatial coverage,time coverage,accessibility,and free use,have made these techniques superior,and sometimes we can use them instead of synoptic *** this study,we used four meteorological datasets,including Climatic Research Unit gridded Time Series(CRU TS),Global Precipitation Climatology Centre(GPCC),Agricultural National Aeronautics and Space Administration Modern-Era Retrospective Analysis for Research and Applications(AgMERRA),Agricultural Climate Forecast System Reanalysis(AgCFSR),to estimate climate variables,i.e.,precipitation,maximum temperature,and minimum temperature,and crop variables,i.e.,reference evapotranspiration,irrigation requirement,biomass,and yield of maize,in Qazvin Province of Iran during *** first,data were gathered from the four meteorological datasets and synoptic station in this province,and climate variables were ***,after using the AquaCrop model to calculate the crop variables,we compared the results of the synoptic station and meteorological *** the four meteorological datasets showed strong performance for estimating climate *** and AgCFSR had more accurate estimations for precipitation and maximum ***,their normalized root mean square error was inferior to CRU for minimum ***,they were all very efficient for estimating the biomass and yield of maize in this *** reference evapotranspiration and irrigation requirement CRU TS and GPCC were the most efficient rather than AgMERRA and *** for the estimation of biomass and yield,all the four meteorological datasets were *** sum up,GPCC and AgCFSR were the two best datasets in thi