# Spatio-temporal model of extreme rainfall data in the province of south sulawesi for a flood early warning system
> Bakri B.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_85104036630
Jurnal / Konferensi: Geomatics and Environmental Engineering
Tahun terbit: 2021
DOI: https://doi.org/10.7494/GEOM.2021.15.2.5
ISSN: 18981135
Kuartil SJR: Q3
Citations: 5

## Authors
- Bakri B.

## Abstract
In this study, we model extreme rainfall to study the high rainfall events in the province of South Sulawesi, Indonesia. We investigated the effect of the El Nino South Oscillation (ENSO), Indian Ocean Dipole Mode (IOD), and Madden–Julian Oscillation (MJO) on extreme rainfall events. We also assume that events in a location are affected by events in other nearby locations. Using rainfall data from the province of South Sulawesi, the results showed that extreme rainfall events are related to IOD and MJO.

## Keywords
- Climatology
- Madden–Julian oscillation
- Flood myth
- Indian Ocean Dipole
- El Niño Southern Oscillation
- Geography
- Mode (computer interface)
- Indian ocean
- Environmental science
- Southern oscillation
- Meteorology
- Oceanography
- Geology
- Operating system
- Computer science
- Archaeology
- Convection

---
Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
Saat mengutip, gunakan DOI bila tersedia atau URL kanonis di atas.