Development of GIS Application for Satellite Rainfall Bias Correction
Abstract
Rainfall estimation by using satellite always include uncertainty or bias due to many factors. To obtain better accuracy of satellite rainfall estimation, bias should be removed. In this study aim to develop and test a bias correction application based on Geographic Information System (GIS) by using 10-year (1998-2018) rainfall dataset from rain gauge providing by Thai Meteorological Department and Global Precipitation Measurement (GPM) satellite network. The two rainfall datasets were used to calculate bias values and correct GPM rainfall with two methods: additive and multiplicative method. The results showed a better performance of bias correction on multiplicative method when applied to GPM rainfall. Thus, multiplicative method was used to develop as a bias correction function of GPM rainfall in GIS application. The testing results revealed that a bias correction application works well and improves accuracy in both quantity and spatially distribution. The application showed best performance when applied to rainfall with moderate intensity and lower performance to rainfall with high and low intensity, respectively.
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