COMPARISON OF RAINFALL TEMPORAL DISTRIBUTION PATTERNS USING OBSERVATION DATA AND SATELLITE DATA GPM (GLOBAL PRECIPITATION MEASUREMENT) CASE STUDY: BOGOR AND BANDUNG

• Main Author: Tama, Widya
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/50940
• Institution: Institut Teknologi Bandung

Temporal distribution patterns of rainfall play an important role in hydrological studies. The pattern is different for each region, especially in Indonesia which is known to have high rainfall variations. The temporal distribution pattern of rainfall is formed from hourly rainfall data, but the limitations of that data make it difficult to estimate the pattern in every region in Indonesia. The development of rainfall estimation data from satellite data provides hope for use in estimating such patterns. This research aims to test the ability of satellite data to represent temporal distribution patterns of rainfall. The testing of satellite data to represent the temporal distribution patterns of rainfall was conducted by comparing the temporal distribution patterns of rainfall resulting from BMKG observation data and GPM (Global Precipitation Measurement) satellite data in the same data period. The temporal distribution pattern of rainfall is formed from the amount of the hourly rain distribution determined based on the percentage of the average distribution of rain intensity in each hour. Comparison of temporal rainfall patterns from satellite data and observation data shows that satellite data is quite good at representing rain distribution patterns for Bogor with an average relative error of 8%. But, for Bandung satellite data has not been good enough in representing rain distribution patterns with an average relative error of 24%. Spatially GPM satellite data can show indications of changes in the temporal distribution pattern of rain from pattern five to pattern six for the rain category >30 mm / day to >50 mm / day for some regions in West Java.