Simulation of Rainfall Data by The GPM Satellite (Case Study at Sriwijaya University, Indralaya)

Abstract

Abstract The problem in obtaining rainfall data information is that the measurement results of rainfall from the measuring station are not recorded and areas are difficult to reach to measure rainfall directly. Lack of data availability and continuity of rainfall data is one of the obstacles in obtaining climatological information in South Sumatra. GPM satellites (Global Precipitation Measurement) need to be researched in order to overcome obstacles in obtaining rainfall measurement data in an area. This study aims to validate rainfall data from the GPM satellite and daily rainfall data from the measurement results of the Hellmen type automatic rain gauge located in the Hydraulics Laboratory of Sriwijaya University. Validation of rainfall data was carried out to determine the accuracy of the measurement results. Validation was carried out by the Root Mean Square Error Method and the Nash-Sutcliffe Method. The results of the validation showed a high correlation value for the average daily rainfall. The correlation coefficient value is 0,77, the RMSE value is 11,42 and the NSE value is 0,996. The results of the validation of these methods show a strong correlation between the measurement rainfall data in the field and the GPM satellite.</jats:p