Intense Convective Rain Estimation Using Geostationary Meteorological Satellite
Abstract
In this study, a quantitative rainfall estimates model is developed using the information from the Geostationary Meteorological Satellite-5 (GMS-5) infrared (IR) image. The model is to estimate intense convective rainfalls which are responsible for the majority of flash flooding in urban areas of Klang River Basin, Malaysia. Information from records of GMS-5 IR images have been retrieved for selected convective cell clouds associated with intense rain to be trained with the radar rain rate in a back-propagation neural network. The model has been validated against the actual convective rainfalls observed over upper Klang River Basin. Results show a satisfactory performance of the model in estimating a real averaged total rainfall with a correlation coefficient of r as 0.91 between the estimated values with the Thiessen areal averaged total rainfall.
- Publication:
-
Advances in Geosciences, Volume 11: Hydrological Science (HS)
- Pub Date:
- March 2009
- DOI:
- 10.1142/9789812836144_0012
- Bibcode:
- 2009aogs...11..133T