Performance evaluation of high-resolution satellite products in estimating rainfall condition over West Borneo

Abstract

GSMaP and TRMM data validation was carried out with rainfall data in West Borneo. This study aims to evaluate the performance of GSMAP and TRMM in estimating daily rainfall in seven watersheds, namely Ambawang (AB), Kakap (KP), Pontianak (PT), Rasar (RS), Mandor (MD), Sebadu (SB), and Segedong. (SG). The analysis was performed using statistical analysis, error calculation, and rain event presentation. The results of the GSMaP satellite data validation against the observation data showed very high correlation values in all observation locations (R> 0.75). The similar result is also found in the TRMM data. In general, all of locations show a very small RMSE value. This indicates that the GSMaP and TRMM data tend to have a good performance in estimating rainfall in West Borneo. The relative bias values show pretty good results (<15%) except for MD both GSMaP and TRMM data. The results of the estimation of rainfall data show a tendency that GSMaP is overestimated compared to TRMM data in AB, KP, PT, RS, SB, and SG while TRMM is more representative of the actual conditions. Both GSMaP and TRMM data tend not to be able to detect rains smaller than 1 mm. Overall, the three rainfall data indicate that the percentage of the frequency of rainfall events based on six rainfall classifications in all observation locations often occurs at rainfall values of 1-10 mm.