RAIN RATES AND CLOUD TOP TEMPERATURE RELATION ON RAINFALL ESTIMATION USING GEOSTATIONARY AND TRMM (TROPICAL RAINFALL MEASURING MISSION) SATELLITE DATA

• Main Author: RIDHO SYAHPUTRA (NIM 10801006), M.
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/8657
• Institution: Institut Teknologi Bandung

This study primary aim is to design a near real-time rainfall monitoring system in Indonesian region based on CST (Convective Stratiform Technique) rainfall estimation technique, by using satellite infrared (IR) data from MTSAT IR-1 channel. Other studies had shown some differences in their methods of defining rain rate. So, first we evaluate those methods by comparing their estimation result with a ground-truth rainfall data during December 2006 to February 2007. It shows that rainfall estimation using Vicente equation has better correlations, which are 0.21 for daily accumulated rainfall, and 0.57 for five-day accumulated rainfall. Next, this study focuses on finding a new equation based on Vicente method by using a pair of cloud top temperature (TBB) data derived from MTSAT IR-1 and rain rate data from TRMM-PR (Tropical Rainfall Monitoring Mission-Precipitation Radar) under December 2006 to December 2007 time interval. Unfortunately, the pattern found by plotting those data is not adequately suitable by statistical standard to form a regression equation. In the end, it is decided to use Vicente equation for rainfall estimation in Indonesia. Some extreme rainfall cases analysis also presented in this paper proves that rainfall estimation based on CST technique shows qualitatively sophisticated rainfall estimation during extreme rainfall cases in Indonesian region, in a grade that the technique can be applied on an operational rainfall monitoring system.