Evaluation of multiple gridded solar radiation data for crop modeling

Solar radiation ( S RAD ) plays a pivotal role for crop growth and development, is, therefore, an indispensable input simulation models. Lack of weather data, particularly , is problematic issue in many agricultural zones. To handle this dearth, there have been recent advances the improvement application gridded which provide realistic alternatives to observed data. The main objective present research was identify most accurate data (GRD) be used modeling. For purpose, six GRD products, comprising AgCFSR, AgERA5, AgMERRA, GLDAS, PGF NASA POWER, were evaluated irrigated rainfed wheat sites across Iran using NWheat model. This one newest models that recently added Decision Support System Agrotechnology Transfer (DSSAT) application. Some GRDs first time current study. comprehensive assessment, different cultivars simulated entire range GRDs. simulations grain yield leaf area compared with . findings showed quality all products appropriate studies; however, normalized root mean square error (NRMSE) ≤ 3.8% Nash-Sutcliffe Efficiency (NSE) ≥ 0.96, had highest accuracy simulation, NRMSE 5.2% NSE 0.92 least quality. major disadvantage AgCFSR AgMERRA their limited temporal period until 2010, so they cannot studies after 2010. Thus, assessed GRD, especially AgERA5 can recommended applying regions unavailable • Multiple solar production DSSAT-NWheat model applied simulations. accuracy. not due coverage.