Validation of Climate Hazard Group InfraRed Precipitation with Station (CHIRPS) Data in Wonorejo Reservoir, Indonesia

Abstract

Abstract This study aims to test the validation of precipitation data from CHIRPS compared to measurement data. The study location is Wonorejo Reservoir, Indonesia. The methods in this research were 1) data quality test with the consistency test and stationary test, and 2) validity test with parameters of NSE value and correlation. The study results show that 1) The data quality test shows that the precipitation data from CHIRPS are consistent and homogeneous; 2) The validity test is carried out in two stages, for uncorrected data and corrected data. According to NSE value, the validity of test results on uncorrected data shows that CHIRPS’s precipitation data are unsatisfactory. When viewed from the correlation, the precipitation data from CHIRPS has a very strong relationship to precipitation measurement data. The next step is to test the validity of the corrected data. The validation test of corrected data shows that precipitation data from CHIRPS is satisfactory according to NSE value. Moreover, the precipitation data from CHIRPS strongly correlates with the precipitation measurement data. This study indicates that the precipitation data from CHIRPS can be utilized as alternative precipitation data if measurement data are limited.