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All Journal PRISMA FISIKA Jurnal Teori dan Aplikasi Fisika Jurnal Kumparan Fisika
Presli Panusunan Simanjuntak
Badan Meteorologi Klimatologi dan Geofisika
Earth & Planetary Sciences Education Materials Science & Nanotechnology Physics Other

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Journal : PRISMA FISIKA

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Komponen Angin Zonal dan Meridional sebagai Prekursor Penentu Awal Musim serta Pengaruh ENSO Terhadap Variasinya Presli Panusunan Simanjuntak
PRISMA FISIKA Vol 10, No 3 (2022)
Publisher : Jurusan Fisika, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/pf.v10i3.59057

Abstract

Kondisi iklim disuatu wilayah sangat dipengaruhi sirkulasi angin. Pemebentukan cuaca dan iklim di wilayah Indonesia dipengaruhi oleh sirkulasi Hadley dan Walker selain itu sirkulasi monsun juga mempengaruhi variasi musiman di Indonesia. Komponen angin tersebut juga dipengaruhi oleh aktivitas ENSO (El Niño-Southern Oscillation) di Samudera Pasifik utamanya zonal. Penelitian ini bertujuan untuk menganalisis sirkulasi angin zonal dan angin meridional serta pengaruh ENSO terhadap variabilitas curah hujan dan awal musim di Malang. Penelitian ini menggunakan data angin zonal dan meridional ketinggian 10 meter luaran model ECMWF (European Centre for Medium-Range Weather Forecasts) dengan resolusi spasial 0.125°x0.125° periode 1989-2016, curah hujan bulanan Stasiun Klimatologi Jawa Timur periode yang sama, dan indeks Nino 3.4 yang diunduh melalui situs NOAA (National Oceanic and Atmospheric Administration). Hasil penelitian menujukkan bahwa angin zonal baratan dan meridional negatif mendominasi pada periode musim hujan November sampai dengan April. Pada musim kemarau Mei sampai dengan Oktober, angin timuran dan meridional positif lebih kuat. Perubahan arah angin diikuti perubahan musim dengan lagtime 3 dasarian. Aktifnya ENSO mampu mengubah arah angin meridional dan menguatkan angin baratan di wilayah penelitian. ENSO juga menyebabkan curah hujan lebih fluktuatif.
Prediksi Luas Area Terbakar Menggunakan Fire Weather Index dan Frekuensi Titik Panas di Jambi Presli Panusunan Simanjuntak
PRISMA FISIKA Vol 11, No 2 (2023)
Publisher : FMIPA, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/pf.v11i2.64550

Abstract

Forest fires occur every year in Indonesia, one of the regions with the highest forest fires is Jambi Province. Significant losses and negative impacts due to forest fires cause the need for an effort to prevent forest fires early on with the detection of forest and land fires. One method that can provide information about the level of forest fire based on daily weather data input is the Fire Weather Index (Fire Weather Index / FWI) system, which was first developed by Canada. This study aims to estimate burn area in the Jambi region by using temperature, rainfall, humidity, and wind speed data. Other supporting data are hotspot frequency data from NASA-FIRMS satellites and data fraction of burn area from GFED satellites on a daily scale of the period 2006-2016. In this study an analysis of the relationship between these data variables and burn area estimation was carried out using multiple linear regression methods then validated to see the level of suitability of the output model forecasts. The results showed that the predictor variables that had the highest relationship were hotspots frequency, Buildup Index (BUI), and FWI index with correlation values of 0.888, 0.739 and 0.753, respectively. The estimation model of the resulting burnt area is: Burned Area = -966.6146918 + (7.519631195 × BUI) + (147.4865469 × FWI) + (14.5373858 × Hotspots) + 116, with an RMSE value of 635.524 and MAE of 491.38
Co-Authors Agus Safril Annisa Dwi Nopiyanti