Deranadyan, Gumilang
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IDENTIFIKASI ARAH SEBARAN DAN KETINGGIAN ERUPSI GUNUNG BERAPI MENGGUNAKAN CITRA RADAR CUACA Rahma, Nayla Alvina; Verdyansyah, Aprizal; Faza, Muhammad Zakky; Nugraheni, Imma Redha; Deranadyan, Gumilang
GEOMATIKA Vol 26, No 2 (2020)
Publisher : Badan Informasi Geospasial in Partnership with MAPIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24895/JIG.2020.26-2.981

Abstract

Erupsi vulkanik pada waktu yang lama dapat membahayakan keselamatan masyarakat dan aktivitas penerbangan. Radar cuaca dapat dimanfaatkan untuk monitoring dan identifikasi sebaran debu vulkanik secara real time. Penelitian ini memanfaatkan radar Gematronik dengan produk yang digunakan antara lain: CMAX, VCUT, dan CAPPI sehingga dapat menganalisis debu vulkanik yang dihasilkan oleh erupsi gunung berapi. Dalam kasus kejadian erupsi Gunung Agung tanggal 28 Juni 2018 didapatkan nilai reflektivitas maksimum mencapai 30-35 dBZ, sedangkan pada produk VCUT didapatkan ketinggian kolom debu vulkanik mencapai 7.5 km. Jenis material erupsi dapat diketahui dengan produk VCUT. Produk CAPPI V yang telah ditentukan batasnya yaitu 3 km, 5 km, dan 7 km menggambarkan arah gerakan debu vulkanik berdasarkan lapisannya. Arah sebaran debu vulkanik dominan ke barat dan barat daya. Dilihat secara horizontal maupun vertikal, debu vulkanik mempunyai karakteristik yang khas yaitu nilai echo reflektivitas menurun seiring menjauhi pusat erupsi.
AN ENHANCEMENT TO THE QUANTITATIVE PRECIPITATION ESTIMATION USING RADAR-GAUGE MERGING Ali, Abdullah; Deranadyan, Gumilang; Hairuly Umam, Iddam
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 17, No 1 (2020)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2020.v17.a3316

Abstract

Quantitative Precipitation Estimation (QPE) is quite important information for the hydrology fields and has many advantages for many purposes. Its dense spatial and temporal resolution can be combined with the surface observation to enhance the accuracy of the estimation. This paper presents an enhancement to the QPE product from BMKG weather radar network at Surabaya by adjusting the estimation value form radar to the real data observation from rain gauge. A total of 58 rain gauge is used. The Mean Field Bias (MFB) method used to determine the correction factor through the difference between radar estimation and rain gauge observation value. The correction factor obtained at each gauge points are interpolated to the entire radar grid in a multiplicative adjustment. Radar-gauge merging results a significant improvement revealed by the decreasing of mean absolute error (MAE) about 40% and false alarm ratio (FAR) as well an increasing of possibility of detection (POD) more than 50% at any rain categories (light rain, moderate rain, heavy rain, and very heavy rain). This performance improvement is very beneficial for operational used in BMKG and other hydrological needs.