Performance of daily satellite-based rainfall in groundwater basin of Merapi Aquifer System, Yogyakarta

Abstract Evaluation of the performance daily satellite-based rainfall (CMORPH, CHIRPS, GPM IMERG, and TRMM) was done to obtain applicable satellite estimates in groundwater basin Merapi Aquifer System (MAS). Performance data assessed by applying descriptive statistics, categorical bias decomposition on basis intensity classification. This classification is possible measure much detail. CM (CMORPH) has larger underestimation compared other assessments. also mostly largest RMSE , while CHR (CHIRPS) lowest. a good detect no rain, IMR (GPM IMERG) worst performance. have light moderate rain. Both them H frequencies lower MB values products. TR (TRMM), especially wet periods. CM, IMR, dry periods, lowest AHB values. better accuracy estimate rain amount TR. All all, all 4 assessments large discrepancy with gauge along mountain range where orographic usually occurs Hence, it recommended evaluate time series streamflow simulation hydrological modeling framework merging more than one merge both together.