COMPARISON OF INTENSITY-DURATION-FREQUENCY CURVES FROM TRMM, GSMAP, AND GPM DATA WITH OBSERVATION DATA (Case Study: Bandung)

• Main Author: Juliansyah, Bayu
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/42741
• Institution: Institut Teknologi Bandung

Intensity-Duration-Frequency (IDF) curve is a curve that combines the intensity, duration, and frequency of rainfall data. The IDF curve is a pretty good tool in predicting the nature of rain in projects related to water resource management, other infrastructure projects, and flood disasters. Rainfall data with wide spatial coverage as well as dense intervals and long time needed to build the IDF curve. But in Indonesia, especially in Bandung, the availability of that kind of data is very hard to find, almost none. Nowadays there is a lot of remote sensing based data available in high spatial and temporal resolution. Some examples of observation satellites with high spatial resolution and temporal resolution are TMPA (TRMM Multisatellite Precipitation Analysis), GSMaP (Global Satellite Mapping of Precipitation), and GPM (Global Precipitation Measurement). For ground observation data using observation data conducted by WCPL from November 2011 to October 2018 with data recording intervals every 5 minutes. The satellite data set is then compared to many rainfall events, the pattern of average monthly rainfall, extreme rain, peaks over threshold, as well as the IDF curve that is constructed using the Theoritical Extreme Value (EV) Distribution approach using the Gumbel type I distribution. TMPA satellite data are particularly good at capturing rainfall patterns and average monthly rainfall, while GSMaP and GPM data can be used as alternative data in the formation of IDF curves especially for rain with a duration of 6 hours, 12 hours and 24 hours.