Title of article :
Reconstruction of Extreme Rainfall Event on September 19-20, 2017, Using a Weather Radar in Bengkulu of Sumatra Islan
Author/Authors :
Paski, Jaka A. I Center for Research and Development - Indonesian Agency for Meteorology Climatology and Geophysics - Jakarta 10720 - Indonesia , Alfahmi, Furqon Marine Meteorological Center - Indonesian Agency for Meteorology Climatology and Geophysics - Jakarta 10720 - Indonesia , Permana, Donaldi S Global Atmosphere Watch Station - Indonesian Agency for Meteorology Climatology and Geophysics - Palu 94111 - Central Sulawesi - Indonesia , Makmur, Erwin E. S Center for Research and Development - Indonesian Agency for Meteorology Climatology and Geophysics - Jakarta 10720 - Indonesia
Abstract :
Extreme rainfall accompanied by strong winds hit the province of Bengkulu in the western coastal area of Sumatera Island during September 19-20, 2017, causing floods and landslides in Seluma and Central Bengkulu district. This extreme rainfall was recorded by Bengkulu Meteorological Station about 257.0 mm day−1 using rain-gauge observation. The spatial distribution of extreme rainfall cannot be seen if only using a rain-gauge observation in this location. The spatial distribution of extreme rainfall is needed to identify the impact of rainfall on landslides in large areas. The study aims to (1) develop the reconstruction of the spatial distribution of extreme rainfall using weather radar and (2) investigate the trigger that caused extreme rainfall by analyzing the synoptic-scale tropical waves. Each weather radar datum is saved in a Constant Altitude Plan Position Indicator (CAPPI). To get rainfall information, the CAPPI must be derived from Quantitative Precipitation Estimation (QPE) values. In this paper, we derived CAPPI using a Marshall-Palmer reflectivity-rain rate relationship. The result shows that rainfall formed on September 20, 2017, 21.00 UTC with total daily rainfall ranged between 176 and 247 mm in both districts and the mean of total daily rainfall has exceeded the average of monthly rainfall. The analysis of tropical waves suggests that only Kelvin waves were active and served as a possible trigger factor while the Madden-Julian Oscillation (MJO) and Equatorial Rossby (ER) waves were inactive during this extreme rainfall.
Keywords :
Quantitative Precipitation Estimation (QPE) , UTC , Madden-Julian Oscillation (MJO) , Equatorial Rossby (ER) , Weather Radar , Extreme Rainfall Event , Sumatra Island
Journal title :
The Scientific World Journal