KAJIAN PERTUMBUHAN AWAN HUJAN PADA SAAT BANJIR BANDANG BERBASIS CITRA SATELIT DAN CITRA RADAR (STUDI KASUS : PADANG, 2 NOVEMBER 2018)
Keywords:
hujan sangat lebat, citra satelit Himawari, citra radar cuaca, awan cumulonimbusAbstract
A massive flood again hit six sub-districts in the city of Padang, West Sumatra on November 2, 2018. Floods were caused by river debris which overflowed due to heavy rainfall that occurred in the upstream and downstream. The impact of the flash floods caused 600 houses to be flooded, 3 bridges broke up and claimed lives. Because of this impact, this research was conducted to review the condition of sea surface temperature, mslp, water vapor transport value, streamline, Himawari-8 satellite and C-Band weather radar image data. The data was processed in the form of graphs and spatial maps then descriptive analysis was carried out which included temporal analysis and spatial analysis. Based on the results of the analysis, regional weather disruption in the form of a shearline pattern or component of the direction of the wind trajectory that changes suddenly which is parallel to horizontal wind and low pressure areas that cause convergence in the coastal city of Padang , then the value of water vapor transport is quite high, namely the range between 700-1100 Kg / ms-1 in layers 1000-300 mb. The occurrence of heavy rains is often related to the presence of Cumulonimbus (Cb) clouds. This is due to the characteristics of Cb clouds with large dimensions and contain many particles of precipitation such as water and ice crystals. This condition is supported by the presence of Cb cloud based on the analysis of the Himawari-8 time series satellite images and the radar reflectivity value at a value of 45-60 dBz. On November 2, 2018, almost all of the rain clouds that appeared had a thickness of more than 7 km, where the lowest cloud peak temperature reached a value of -72.5 ° C.
References
Dua orang tewas akibat banjir bandang di Padang, 2018. Detik, 2 November:18
Nababan, M., 2014, Studi Kejadian Bencana Banjir Berdasarkan Karakteristik Awan dan Hujan di Wilayah Jakarta, Skripsi, Program Sarjana Terapan Meteorologi, Sekolah Tinggi Meteorologi Klimatologi dan Geofisika, Jakarta.
Schowengerdt, R., 2006, Remote Sensing: Models and Methods for Image Processing, Academic Press.
Marjuki, 2007, Analisis Data Radar Cuaca Menggunakan Jaringan Syaraf Tiruan, Jurnal Meteorologi dan Geofisika, 3, 3.
Mahfiroh, 2017, Kajian Pemanfaatan Data Citra Satelit Himawari-8 Untuk Mendeteksi Awan Signifikan dari Awan Cumulonimbus, Skripsi, Program Sarjana Terapan Meteorologi, Sekolah Tinggi Meteorologi Klimatologi dan Geofisika, Jakarta.
Persson, A., dan Grazzini, F., 2007, User Guide to ECMWF Forecast Products, ECMWF, United Kingdom.
Anggoro, D., 2007, Kajian Waktu Hidup dan Pergerakan Awan Konvektf Berbasis Citra Radar dan Model ECMWF, Skripsi, Program Sarjana Terapan Meteorologi, Sekolah Tinggi Meteorologi Klimatologi dan Geofisika, Jakarta.
Wardoyo,E., 2011, Materi Radar Produk Gematronik, Training Radar Cuaca. Badan Meteorologi Klimatologi dan Geofisika, Jakarta.
BMKG, 2016, Pedoman Operasional Penginderaan Citra Satelit Cuaca, Badan Meteorologi Klimatologi dan Geofisika, Jakarta.
BMKG, 2014, Data satelit BMKG, Ftp://satelit.bmkg.go.id/, diakses tanggal 2 November 2018
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