Future rainfall variability in Indonesia under different ENSO and IOD composites based on decadal predictions of CMIP5 datasets

3rd International Symposium on LAPAN-IPB Satellite For Food Security and Environmental Monitoring 2016

地球科学;轻工业;生态环境科学

Qalbi, Harisa Bilhaqqi^1 ; Faqih, Akhmad^1 ; Hidayat, Rahmat^1

Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University (IPB), Kampus IPB Dramaga, FMIPA Building, Wing 19, Jalan Raya Dramaga, Jawa Barat, Bogor

16680, Indonesia^1

关键词: Climate variability;    Decadal predictions;    Indian ocean dipoles;    Rainfall condition;    Rainfall prediction;    Rainfall variability;    Sea surface temperature (SST);    Southern oscillation;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/54/1/012043/pdf
DOI  :  10.1088/1755-1315/54/1/012043

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

El Niño-Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) are amongst important climate drivers that play a significant role in driving rainfall variability in Indonesia, especially on inter-annual timescales. The phenomena are suggested to have an association with interdecadal climate variability through the modulation of their oscillations. This study aims to analyse the characteristics of future rainfall variability in Indonesia during different condition of ENSO and IOD events based on decadal predictions of near-term climate change CMIP5 GCM data outputs up to year 2035. Monthly data of global rainfall data with 5x5 km grid resolutions of CHIRPS dataset is used in this study to represent historical rainfall variability as well to serve as a reference for future rainfall predictions. The current and future rainfall and sea surface temperature data have been bias corrected before performing the analysis. Given the comparison between rainfall composites during El-Nino and positive IOD events, the study showed that the future rainfall conditions in Indonesia will become drier than the historical condition resulted from the same composite approach. In general, this study showed the Indonesian rainfall variability in the future is expected to respond differently to a different combination of ENSO and IOD conditions.