Rainfall Intensity Estimation with Cloud Type using Satellite Data

  • Jee, Joon-Bum (Department of Atmospheric and Environmental Sciences, Kangnung National University) ;
  • Lee, Kyu-Tae (Department of Atmospheric and Environmental Sciences, Kangnung National University)
  • 발행 : 2006.11.02

초록

Rainfall estimation is important to weather forecast, flood control, hydrological plan. The empirical and statistical methods by measured data(surface rain gauge, rainfall radar, Satellite) is commonly used for rainfall estimation. In this study, the rainfall intensity for East Asia region was estimated using the empirical relationship between SSM/I data of DMSP satellite and brightness temperature of GEOS-9(10.7${\mu}m$) with cloud types(ISCCP and MSG classification). And the empirical formula for rainfall estimation was produced by PMM (Probability Matching Method).

키워드