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Journal : Megasains

Verifikasi Parameter Presipitasi Akumulasi 24 Jam pada Model Cuaca Numerik Tahun 2017-2020 kiki, Kiki
Megasains Vol 12 No 2 (2021): Megasains Vol. 12 No. 2 Tahun 2021
Publisher : Stasiun Pemantau Atmosfer Global Bukit Kototabang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46824/megasains.v12i2.54

Abstract

The 24-hour accumulated precipitation parameters from four numerical models contained in the Synergie operational tool, namely GFS, IFS, ARPEGE, and WRF, were verified using daily surface observation data at 34 study points representing each province in Indonesia. Three verification methods, namely dichotomy, multi-category, and verification methods for continuous parameters are used to measure the performance of each model in predicting daily rainfall quantity in the period 2017 to 2020. The results show that the IFS model has the best performance in all of the classification done in this study compared to other 3 numerical models. Keywords: Precipitation, Verification, Accuracy
KAJIAN INDEKS HUJAN EKSTREM PADA TIGA TIPE IKLIM DI WILAYAH INDONESIA kiki, Kiki
Megasains Vol 15 No 1 (2024): Megasains Vol. 15 No. 1 Tahun 2024
Publisher : Stasiun Pemantau Atmosfer Global Bukit Kototabang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46824/megasains.v15i1.147

Abstract

Extreme rainfall is defined as rain that occurs with heavy intensity or very high rainfall in a short period of time, which can lead to hydrometeorological disasters. This study analyzes the influence of extreme rainfall that plays an important role in the long-term period in several different climate types, namely tropical rainforest, tropical monsoon, and tropical savanna climate types, in the last 30 years, represented by Pontianak, Semarang, and Kupang, respectively. The results showed that the highest to lowest percentage of extreme rainfall events were recorded in Pontianak, Semarang and Kupang, respectively, throughout the study period. Furthermore, based on trend analysis, it is known that there is an increasing trend of extreme rainfall found in Pontianak for all extreme rainfall indices, a dominant downward trend in Kupang, and a variable trend (up/down) in Semarang. The findings of this study can be used as a reference for future climate change research and for the development of climate change adaptation and mitigation strategies in Indonesia.