Heavy rainfall is one of the most devastating natural hazards in the Korea peninsular. As a result, the monitoring and forecasting of heavy rainfall is one of the most important challenges for flash floods in terms of providing accurate estimation of rainfall. Precipitation data from satellites is very effective for predcting flash floods. Geostationary satellites are especially important for estimating and predicting heavy rainfall in high spatial resolution with time sensitivity during a flash flood event caused by a typhoon. This study validated the rainfall algorithm for typhoon Chaba using Koreas’ geostationary satellite images and Global Precipitation Mission (GPM), Dual Precipitation Radar (DPR), and GPM Microwave Imager (GMI) sensors. We developed an algorithm that co-located GPM Level 2 precipitation with rain flag, precipitation type flag, land/ocean flag, convective/stratiform flag, cloud top height flag, and COMS geostationary satellite 5 channels. This algorithm can be applied to the Himawari 8 satellite with more than 3 times the time resolution and 2 times the spatial resolution in comparison with the COMS satellite. This paper describes the improvement in the accuracy of rainfall estimation utilizing the Himawari 8 satellite with additional spectral bands.

1. 서론

2. 연구방법

2.1 정지궤도 위성강우 활용

2.1.1 APEC 회원국

2.1.1.1 필리핀

2.1.1.2 베트남, 라오스

2.1.2 미계측 지역

2.1.3 국외 위성강우 활용

2.2 연구자료 및 자료처리

2.2.1 GPM(Global Precipiation Mission)

2.2.2 천리안 위성

2.2.3 Himawari 8

2.2.4 자료처리

3. 연구내용

3.1 태풍 차바 피해

3.2 울산 태풍 차바 피해

3.3 지상관측자료

3.4 GPM 기반 알고리즘 검증

4. 연구결과

5. 결론 및 토론

REFERENCE