Utilization of estimated rainfall as an early warning system before flash flood event

Fara Diva Claudia, Cecylia Putri Mawarni, Kadek Krisna Yulianti, Paulus Agus Winarso

Abstract

On October 10, 2018 there has been extreme weather in the form of heavy rain accompanied by lightning in Tanah Datar District, West Sumatra. This extreme weather caused flash floods and landslides that killed many people. Therefore, by using remote sensing data in the form of radar and satellite as well as WRF modeling (Weather Research and Forecasting) the authors conducted analysis of heavy rainfall events to determine the estimated rainfall and atmospheric dynamics during the occurrence of flash floods and landslides. WRF modeling is used to determine the condition of atmospheric lability. For the calculation of rainfall estimation, the method used is the Convective Stratiform Technique (CST) method that utilizes satellite data and the Z-R relation selection method that utilizes radar data. Then the calculation results from each method are verified using observation data. Relative bias shows the CST method and the selection of Z-R relations tend to be overestimate, but has a very high correlation value with observation data. Information on rainfall estimation and atmospheric dynamics is expected to be used to provide early warnings aimed at minimizing losses from the impact of disasters.

Keywords

Flash flood, CST, rainfall estimation, relation of Z-R

Full Text:

PDF

References

Adler, H.F., and Negri, A. J. (1988), A Satellite Infrared Technique to Estimate to Estimate Tropical Convective and Stratiform Rainfall. Journal of Applied Meteorology, 27, 30-51.

Andani, A.J.P. (2016). Kajian Penerapan Estimasi Curah Hujan Per Jam Memanfaatkan Metode Convection Stratiform Technique (CST) dan Modified Convective Stratiform Technique (mCST) di Pontianak. Jurnal Meteorologi Klimatologi dan Geofisika, 3(3), 9-20.

Andi, I. (2007). Estimasi Curah Hujan Beberapa Kota di Indonesia Menggunakan Data MT-SAT Kanal Inframerah (IR1). Thesis, Fakultas Ilmu dan Tekonlogi Kebumian: Institut Teknologi Bandung.

Endarwin. (2014). Modifikasi Convective Stratiform Technique dengan Kombinasi Data Satelit Gelombang Mikro Pasif dan Inframerah untuk Estimasi Curah Hujan di Indonesia. Disertation, Program Studi Sains Kebumian Institut Teknologi Bandung Bandung.

Fatoni, A. R. (2016). Kajian Tingkat Akurasi Produk Radar Cuaca dalam Melakukan Estimasi Curah Hujan di Surabaya. Jurnal Meteorologi Klimatologi dan Geofisika, Tangerang Selatan.

Hong, Y., R.F. Adler, A. Negri, and Huffman, G.J. (2007). Flood and Landslide Applications of Near Real-time Satellite Rainfall Estimation. Journal of Natural Hazards, doi: 10.1007/s11069- 006-9106-x.

Joyce, R. J., J. E. Janowiak, P. A. Arkin, and P. Xie. (2004). CMORPH: A Method that Produces Global Precipitation Estimates from Passive Microwave and Infrared Data at High Spatial and Temporal resolution. J. Hydromet, 5, 487- 503.

Putra, R.M. and Andani, A.J.P. (2016). Estimasi Curah Hujan Di Surabaya (Studi Kasus 12 Desember 2013, 26 Januari 2014 dan 20 Februari 2014). Prosding Egsa Fair.

Parwati, Suwarsono, Yulianto, F., Suprapto, T. (2008). Penentuan Nilai Ambang Batas untuk Potensi Rawan Banjir dari Data MT-SAT dan QMORPH. Jurnal Penginderaan Jauh, 5, 56-63.

SELEX. (2013). Software Manual Rainbow 5 Product & Algorithms, SELEX SIGmbH, Germany.

Sudjana. (1996). Teknik Analisis Regresi Dan Korelasi, Tarsito: Bandung.

Suwarsono, P., Kusumaning, A.D.S., Kartasamita, M. (2009). Penentuan Hubungan Antara Suhu Kecerahan dangan MTSAT dengan Curah Hujan Data QMORPH. Jurnal Penginderaan Jauh, 6(1), 32-42.

Zakir, A. (2018). Analisa Cuaca. Jakarta: STMKG.

DOI: https://doi.org/10.20961/jphystheor-appl.v2i2.30670

Refbacks

  • There are currently no refbacks.