Bootstrap resampling to detect active zone for extreme rainfall in Indonesia

Heri Kuswanto, Sri Hidayati, Mutiah Salamah, Brodjol Sutijo Ulama

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)


This research aims to develop a methodology to detect active zones related to the extreme rainfall event in one of regions in Indonesia. Active zone is defined as regions or zones on the atmospheric level which have significantly different pattern with other regions prior to the occurrence of extreme event happen in the study area. The detection will be useful for the forecasters to predict the extreme rainfall events, and hence, the risk of the disaster caused by the events can be minimized. In order to predict the active zone, this paper examines statistical procedure that is able to test the significant difference between weather phenomena at the atmospheric level onset with prior to the occurrence.

Original languageEnglish
Article number012031
JournalJournal of Physics: Conference Series
Issue number1
Publication statusPublished - 28 Oct 2017
Externally publishedYes
EventAsian Mathematical Conference 2016, AMC 2016 - Nusa Dua, Bali, Indonesia
Duration: 25 Jul 201629 Jul 2016


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