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All Journal Jurnal Sains Dirgantara JURNAL METEOROLOGI DAN GEOFISIKA
Amalia Nurlatifah
Centre of Atmospheric Science and Technology, National Institute of Aeronautics and Space
Earth & Planetary Sciences Education Energy Physics

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Vol. 16 No. 2 Juni 2019 Amalia Nurlatifah
Jurnal Sains Dirgantara Vol 16, No 2 (2019)
Publisher : Lembaga Penerbangan dan Antariksa Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.jsd.2018.v16.a3269

Abstract

Vol. 16 No. 2 Juni 2019
ANALYSIS OF WEST NUSA TENGGARA RAINFALL TO ENSO PHENOMENON BASED ON TRMM 3B43 DATA Amalia Nurlatifah
Jurnal Sains Dirgantara Vol 17, No 1 (2019)
Publisher : Lembaga Penerbangan dan Antariksa Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1043.077 KB) | DOI: 10.30536/j.jsd.2020.v17.a3123

Abstract

West Nusa Tenggara is part of the Indonesian Maritime Continent region whose weather conditions are heavily influenced by the dynamics of the Pacific Ocean and Indian Ocean. One of the dynamics that influenced the rainfall condition was the ENSO phenomenon (El Nino and La Nina). This study analyzes rainfall response in West Nusa Tenggara to ENSO phenomenon. The research data was taken from TRMM 3B43 with a monthly temporal resolution and 0.25o spatial resolution. Based on the analysis, it was found that El Nino phenomenon characterized by the heating of Sea Surface Temperature (SST) in Nino 3.4 had an impact on decreasing rainfall in NTB. In contrast, the La Nina phenomenon characterized by the cooling of SST in Nino 3.4 tends to have an impact on increasing rainfall in NTB. Nevertheless, the value of the increase and decrease of Nino 3.4 SST anomaly and rainfall in NTB itself is not linear. This is probably due to the magnitude of the ENSO phenomenon only regulating rainfall changes only, not regulating how far, how strong, or how much rainfall is reduced or increased due to the influence of the ENSO phenomenon. This is evidenced by the small correlation coefficient between Nino 3.4 SST anomaly and rainfall in NTB where the strongest value only reached -0.4 in the JJA season. In the JJA season, the correlation coefficient of Nino 3.4 SST Anomaly and rainfall in NTB tend to be negative and strongest when compared to other seasons. This is probably due to the spatial coherence of NTB rainfall in the JJA season better than the other season. Spatially, almost all areas in NTB in El Nino month experience a decrease in rainfall. In contrast, almost all areas in NTB in the month of La Nina experience an increase in rainfall. The smallest decrease or increase in rainfall during El Nino or La Nina takes place in the southwestern of Sumbawa Island. That means, the influence of the ENSO phenomenon in this region tends to be weak.
PENELUSURAN TRAJEKTORI AEROSOL DI KOTA BANDUNG MENGGUNAKAN HYSPLIT-4 BACK TRAJECTORY MODEL STUDI KASUS : KEJADIAN KABUT ASAP TANGGAL 23-28 OKTOBER 2015 Amalia Nurlatifah; R. Driejana
Jurnal Meteorologi dan Geofisika Vol 20, No 2 (2019)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (716.6 KB) | DOI: 10.31172/jmg.v20i2.630

Abstract

Kebakaran hutan pernah terjadi beberapa kali di Indonesia dalam kurun waktu 25 tahun terakhir, salah satu yang terparah adalah kebakaran hutan pada Bulan Oktober 2015. Aerosol adalah polutan hasil emisi kebakaran hutan yang dapat bertransportasi secara long-range dan dapat menimbulkan masalah pernafasan. Dalam penelitian ini dilakukan penelusuran trajektori aerosol di Kota Bandung pada masa terjadinya kebakaran hutan pada Oktober 2015 menggunakan HYSPLIT-4 Back Trajectory Model dengan data masukan GDAS 0,5ox0,5o. Analisis pengaruh kebakaran hutan terhadap peningkatan konsentrasi aerosol direpresentasikan dengan kenaikan nilai AOD. Nilai AOD yang digunakan adalah data AOD dari MODIS. Hasil keluaran model dianalisis bersama data curah hujan dari GSMaP, data meteorologi NCEP/NCAR, dan data topografi SRTM CGIAR-CSI untuk mendapatkan analisis yang lebih akurat dalam penelusuran trajektori aerosol di Kota Bandung menggunakan HYSPLIT-4 Back Trajectory Model. Pada periode Oktober 2015 terlihat bahwa nilai AOD di Kota Bandung cenderung tinggi bahkan mencapai nilai maksimum 1,406. Hal ini mengindikasikan adanya kenaikan konsentrasi aerosol pada Bulan Oktober 2015. Plot trajektori menyatakan aerosol di Kota Bandung cenderung berasal dari tenggara dan timur Kota Bandung diantaranya diduga berasal dari Samudera Hindia, Cilacap, Ciamis, Garut, Sumedang, Padalarang, ataupun Cimahi. Tingginya nilai AOD mengindikasikan adanya sumber aerosol yang mengemisikan aerosol secara masif sebelum trajektorinya sampai di Kota Bandung. Kebakaran Hutan Kareumbi di Sumedang, kebakaran Hutan Papandayan di Garut, dan kebakaran hutan di kawasan Gunung Masigit di Padalarang pada Bulan Oktober 2015 dipercaya sebagai pemicu utama tingginya nilai konsentrasi aerosol di Kota Bandung.
Co-Authors R. Driejana