A Short-Term Rainfall Estimation using Motion Vectors based on COMS Satellite Data

Abstract:

The natural disaster from heavy rainfall and Typhoon are increased damage of property and human life in Korea peninsular with the impact of climate change. Therefore the short-term accurate forecast of rainfall is very important for reduce damage from severe storms and Typhoon.This study develops a algorithm for rainfall forecast based on COMS(Communication, Ocean and Meteorological Satellite) geostationary satellite data and applied to improve the accuracy of satellite rainfall. COMS is Korea's first geostationary multi-purpose satellite which is joint project by KMA(Korea Meteorological Administration), MEST(Ministry of Education, Science & Technology), MLTM(Ministry of Land, Transport and Maritime Affairs), and KCC(Korea Communications Commission). The forecast rainfall from COMS has the advantages to real-time monitoring floods compared with ground observations in large area. The infrared(IR) data from COMS is used to method for rainfall forecasting using extrapolation. This algorithm tested to case study of the sudden rainstorms and Typhoon around Korea peninsular on summer season. This results is useful to prevent flood damages and improving accuracy nowcasting collaboration with radar forecasting model.