Rusmawan Suwarman
Extreme events related to weather and climate have a significant impact on various fields, from casualties, losses of property and damages to infrastructure. The influence of these extreme events is most felt in urban areas due to population density. However, these extreme weather and climate events occur randomly and there are still many mysteries that are difficult to predict. Therefore, this community service program will identify and characterize extreme weather and climate events in Indonesia. This extreme and extreme weather identification and characterization is conducted by making an IDF (intensity-duration-frequency) map of rainfall in Indonesia. IDF describes a relation between intensity, duration, and frequency of rainfall. Commonly, IDF is used for analysing design of hydrology and water resource systems. The IDF is obtained by using rainfall observation. In this study we used GSMaP (Global Satellite Mapping of Precipitation) dataset. Hourly and 1o gridded dataset over Indonesian region. In each grid point, we have an IDF curve. Moreover, spatially we can get spatial pattern of rainfall intensity (mm/hour) over Indonesian region for duration from 1 hour until 24 hours and four return periods, namely 10, 25, 50, and 100 years. We develop a website to show those maps, everyone can access them in http://idf.meteo.itb.ac.id/. In this study, our outputs are two books, the first book related to explanation to IDF (how to calculate it) and its application, and the second book related to a software how to code and make calculation, namely python.
Penerapan Karya Tulis
The extreme weather and climate events occur randomly and there are still many mysteries that are difficult to predict.