HYDRO-METEOROLOGICAL ANALYSIS OF EXTREME WEATHER IN INDONESIA USING COUPLED ATMOSPHERIC-HYDROLOGICAL MODEL
ICCE 2022
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How to Cite

HYDRO-METEOROLOGICAL ANALYSIS OF EXTREME WEATHER IN INDONESIA USING COUPLED ATMOSPHERIC-HYDROLOGICAL MODEL. (2023). Coastal Engineering Proceedings, 37, management.121. https://doi.org/10.9753/icce.v37.management.121

Abstract

In recent years, hydro-meteorological hazard in the area involving coastlines has been dominated the disaster occurrence in Indonesia. In the last 10 years, the combination of the extreme weather and the environmental capacity degradation result in more flooding vulnerability. In 11-17 January 2021, heavy flood affected South Kalimantan, Indonesia, with causing many casualties. The flood characteristics was similar with the extreme flood in Jakarta in the preceding year in 2020, and more extreme floods occurred in the following year in 2022. Our goal is to analyze the extreme weather from the hydro-meteorological perspective and identify the key factor behind the high impact flood in South Kalimantan. Two factors, sea surface temperature (SST) and soil moisture (SM) content were highlighted and the sensitivity analysis was performed to identify their influence to the flood response at the time of the event. The coupled atmospheric model of Weather Research and Forecasting (WRF) and the hydrological model extension (WRF-Hydro) will be used to reconstruct the flood event.
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References

Avolio, Cavalcanti, Furnari, Senatore and Mendicio (2019): Brief communication: Preliminary hydro-meteorological analysis of the flash flood of 20 August 2018 in Raganello Gorge, southern Italy, Natural Hazards Earth System Sciences, NHESS, vol. 19, pp. 1619–1627.

Kilicarslan, Yucel, Pilatin, Duzenli, and Yilmaz. (2021): Improving WRF-Hydro runoff simulations of heavy floods through the sea surface temperature fields with higher spatio temporal resolution. Hydrological Process., 35(9), e14338.

Li, Xiaofan, Hu, Zeng-Zhen, Tseng, Yu-heng, Liu, Yunyun, and Liang, Ping. (2022): A historical perspective of the La Niña event in 2020/2021. Journal of Geophysical Research: Atmospheres, 127, e2021JD035546.

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