Extreme Rainfall Analysis using Radar-based Rainfall Estimates, Ground Observation and Model Simulation in West Sumatra (Case Study: Padang Floods on June 16, 2016) Minggu, 07 Agustus 2016 08:07
Extreme Rainfall Analysis using Radar-based Rainfall Estimates, Ground Observation and Model Simulation in West Sumatra (Case Study: Padang Floods on June 16, 2016)
Linda F Muzayanah1*), Donaldi S Permana1*), Alfan S Praja1, Eka S P Wulandari2, Wido
Hanggoro
1
1Research and Development Center, Indonesian Agency for Meteorology Climatology and Geophysics (BMKG)
2 Minangkabau Meteorological Station, Indonesian Agency for Meteorology Climatology and Geophysics (BMKG)
*)E-mail:fitrotullinda@gmail.com; donaldi.permana@bmkg.go.id
This case study evaluates and compares the suitability of radar rainfall estimation, ground observed rainfall and model simulation during the extreme rainfall event on June 16, 2016 in West Sumatra which caused flooding in Padang and closed of Minangkabau Airport due to minimum visibility. Radar-based rainfall estimation was produced from reflectivity (dBZ) that had been observed by C-band radar located in Minangkabau station (100.3°E;0.79°S;24 magl). Radar data processing and rainfall estimation were conducted using the open source library wradlib. Radar rainfall estimation were calculated using two reflectivity-rainfall rate (Z-R)
relationships of Marshall-Palmer (MP) and Rosenfeld (RO). Three-hourly rainfall data from radar rainfall estimates and observed data were compared at two meteorological stations in
Extreme Rainfall Analysis using Radar-based Rainfall Estimates, Ground Observation and Model Simulation in West Sumatra (Case Study: Padang Floods on June 16, 2016) Minggu, 07 Agustus 2016 08:07
Minangkabau and Teluk Bayur (~25 km from radar site) during the day event. Extreme rainfall were measured at these two stations with intensity of 384.1 mm/day and 379 mm/day,
respectively, possibly due to local interaction with mountain ranges. The results show that both of radar rainfall estimates generally underestimated the observation data with RO relationship was better than MP. Furthermore, radar rainfall estimations were better in Teluk bayur than in Minangkabau. The Mean Absolute Error (MAE) values for RO relationship is 11- 14.2 mm/hr and MP relationship is 18.3-19.3 mm/hr and 21 - 22 mm/hr for RO and MP relationships, respectively.
Poster presented in International Symposium on the 15th Anniversary of the Equatorial
Atmosphere Radar (EAR) on August 4, 2016
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