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Rezky Yunita
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INDONESIA
Jurnal Meteorologi dan Geofisika
Published by Pusat Penelitian dan Pengembangan, Badan Meteorologi Klimatologi dan Geofisika
ISSN : 14113082     EISSN : 25275372     DOI : https://doi.org/10.31172/jmg
Core Subject : Science,
Earth & Planetary Sciences Energy Physics
Jurnal Meteorologi dan Geofisika (JMG) is a scientific research journal published by the Research and Development Center of the Meteorology, Climatology, and Geophysics Agency (BMKG) as a means to publish research and development achievements in Meteorology, Climatology, Air Quality and Geophysics.
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 174 Documents
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STUDY OF SINGLE- AND DOUBLE-MOMENT MICROPHYSICS SCHEME IMPACT ON LILI AND MANGGA TROPICAL CYCLONE Fazrul Rafsanjani Sadarang; Destry Intan Syafitri J.
Jurnal Meteorologi dan Geofisika Vol. 23 No. 3 (2022): Special Issue
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v23i3.804

Abstract

In this study, prediction of tropical cyclones using the Weather Research and Forecasting (WRF) model was used to test the double-moment (DM) and single-moment (SM) microphysical parameterization schemes in event of Lili and Mangga Tropical Cyclones. Models with microphysical parameterization schemes WDM5, WDM6, WSM5, WSM6, and without microphysical parameterization schemes (CTL) were each tested against track predictions, the pressure value, and maximum wind speed. The results of track prediction show that the best schemes in the tropical cyclone case of Lili and Mangga is WSM6 and WDM6, respectively, with an average error value of 78.1 and 80.1 km. Based on the Taylor diagram, the prediction results of the pressure value and the maximum wind speed in case of Lili Tropical Cyclones get the WDM6 scheme as the best scheme. Meanwhile, the results of the pressure prediction at the cyclone center in the case of Mangga Tropical Cyclones show that the WDM6 scheme is the best. However, the prediction of maximum wind speed in Mangga tropical cyclones produces the CTL scheme as the best scheme. This study shows that DM dan SM microphysical parameterization schemes have a big impact on track prediction compare to pressure value and maximum wind speed variable.
IDENTIFICATION OF TROPICAL SQUALL LINE USING INFRARED CHANNEL HIMAWARI-8 SATELLITE IMAGERY (CASE STUDY OF 6-7 DECEMBER 2020 IN THE INDIAN OCEAN) Nurul Izzah Fitria; Novvria Sagita; Arnelia Indah Cahyani
Jurnal Meteorologi dan Geofisika Vol. 23 No. 3 (2022): Special Issue
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v23i3.808

Abstract

Tropical squall line is a linear type of Mesoscale Convective Systems (MCS) phenomenon. On December 6-7, 2020, the Infrared (IR1) Himawari-8 satellite image in the Indian Ocean of Indonesian region, shows a cloud line identified as the tropical squall line. This study aims to identify the characteristics of the tropical squall line phenomenon that occurs in the Indian Ocean south of West Java using Himawari-8 Infrared (IR1) satellite imagery. Satellite image data is processed using an algorithm adapted to the MCC Maddox 1980 criteria. Furthermore, an objective analysis is carried out on the data based on the criteria from previous studies. The result shows that the tropical squall occurred for 19 hours with the initial type of tropical squall formation as intersecting convective band. In the mature stage, the trailing stratiform region and convective line develops an asymmetric pattern and shows a vortex (Mesoscale Convective Vortices) that forms inside the stratiform region. The result of rainfall distribution using the GSMaP model shows a category of heavy rain with rainfall in tropical squall areas exceeding 10 mm per hour.
The estimation of sea-breeze front velocity over coastal urban using Himawari-8 images: A case study in Jakarta Muhammad Rezza Ferdiansyah; Arie Wahyu Wijayanto
Jurnal Meteorologi dan Geofisika Vol. 23 No. 3 (2022): Special Issue
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v23i3.810

Abstract

The sea breeze is a meteorological phenomenon that occurs due to the contrast temperature between land and oceans. The propagation velocity of sea breeze are influenced strongly by e.g., synoptic wind and geographical conditions. Therefore, it is important to understand the relationship between the spatial distribution of sea breeze velocity and the surface characteristic, for instance over urbanized and less-urbanized coastal areas. When the sea breeze propagates inland, a cumulus cloudline will form in the vicinity of the sea breeze front (SBF). Previous studies have successfully detected the cloudline automatically using the morphological-snake algorithm. In this paper, we estimate the SBF velocity using Himawari-8 satellite images. The proposed method segmented the cloudline data points using a clustering approach, named machine learning-based k-means++, on the level-set obtained from snake algorithm. We then estimate the SBF velocity by calculating the haversine distance of the segmented cloudline points that propagate over time. The comparison of estimated cloudline speed with SBF speed measured at two observation sites, namely KKP and BPL, reveals the root mean square errors 1.39 m/s and 1.41 m/s, respectively. And the propagation direction was mainly southward.
ANALYSIS OF ATMOSPHERIC CONDITION ON HAIL EVENT AT PELALAWAN (CASE STUDY: SEPTEMBER 23RD, 2019) Mari Frystine; Aditya Mulya; Aries Kristianto; Meldisa Putri Maulidyah
Jurnal Meteorologi dan Geofisika Vol. 23 No. 3 (2022): Special Issue
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v23i3.813

Abstract

In Pulau Muda Village, hail occurred on September 23rd, 2019 when the entire Riau area was covered by smoke due to forest and land fires phenomenon. The hail was not accompanied by extreme rain and did not cause material harm. However, a study of atmospheric conditions before, during, and after hail occurred is needed to reference for the early warning of future events. The identification of hail cloud stage used the C-Band Radar Reflecticity, Himawari-8 Satellite, and Rain Gauge data. Model data processed by GrADS are used to support the analysis of meteorological parameter. The surface condition are the opposite to the previous study that the surface air temperature increases 2oC and RH decreased 10% from h-1 caused by dry air of the smoke phenomenon. The hail occurred from one single cell CB cloud that developed within 30 minutes reaching the mature stage with its maximum reflectivity core was 65 dBZ and cloud top temperature decreased to -75oC at 06.00 UTC. The convective activity with maximum updraft -1.9 Pa.s-1developed the cloud as the CAPE index increased from 150 to 700 J.kg-1 from 05.00 to 06.00 UTC. The decrease of specific ice water content with maximum downdraft 0,2 Pa.s-1 from 06.00 - 07.00 UTC evidenced that the cloud ice layer produced the hail at the mature to dissipation stage of the cloud. Further study is needed by providing chemistry model data in order to understand more about hail in tropics especially in this unique situation that is among the smoke phenomenon.
DURASI PENYINARAN MATAHARI DAN DIURNAL TEMPERATURE RANGE SERTA KAITANNYA DENGAN PERUBAHAN IKLIM DI PONTIANAK, INDONESIA Nelvi, Afni; Nata, Refky Adi
Jurnal Meteorologi dan Geofisika Vol. 24 No. 2 (2023)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v24i2.817

Abstract

Sunshine Duration (SD) has an important role in climate change or the weather on the earth. Climate change can be indicated by changing SD values ​​(dimming/brightening) in recent decades. SD and diurnal temperature range (DTR) analysis needs to be done to find out how significant the impact of climate change. The daily dataset from 1981-2019 of SD, DTR, Tmean, Tmax, Tmin, and rainfall in Pontianak, West Kalimantan, is analyzed with Continuous Wavelet Transform (CWT) and wavelet coherence (WTC). Results of CWT using the Morlet wavelet SD have a dominant period of 8-16 months. DTR has a dominant period of 8-16 months and 32-64 months. The increase in SD indicates that Pontianak is in a brightening period caused by changes in the characteristics of clouds and aerosols. It causes an increase in the amount of solar energy reaching the earth's surface. Climate change has been detected by the decrease in DTR. A negative correlation was found between DTR and SD (r = -0.80). DTR is a very good indicator of climate change because of its sensitivity to radiative energy balance. Changes in SD have a significant impact on Tmean, Tmax, and Tmin. The increase of Tmin, faster than Tmax, causes a decrease in DTR. Tmin is predicted to be higher. Tmean and Tmax have dominant periods of 8-16 months, while Tmin has dominant periods of 12-20 months and 32-64 months. The increase in temperature detected during this period is associated with peatland forest fires in Kalimantan. This condition occurs due to the effect of the brightening period and increasing concentrations of greenhouse gases in the atmosphere. Rainfall is detected in the period of 4-8 months and 8-16 months. The drought associated with the El Nino event resulted in a large amount of rainfall deviation from normal.
ANALYSIS AND DETERMINATION OF TOURISM CLIMATE INDEX (TCI) IN EAST NUSA TENGGARA Hidayat, Nizar Manarul
Jurnal Meteorologi dan Geofisika Vol. 23 No. 3 (2022): Special Issue
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v23i3.821

Abstract

The development of tourism is quite rapid in several parts of Indonesia. No exception in East Nusa Tenggara which offers a beautiful part of the beach. Most tourists will use this information in the form of the climate comfort index to determine the right travel time. The Climate Comfort Index can be searched using the Tourism Climate Index (TCI) method including weather parameters such as maximum air temperature and minimum air humidity (Daytime Comfort Index), average air temperature and average air humidity (Daily Comfort Index), rainfall, length of sunshine and average wind speed). Monthly data for the years 1991 - 2015 were provided from eight BMKG meteorological stations. The results showed that the Rote and Maumere regions were in the 'Very Good' category in the summer (June and July). Meanwhile, Sabu and Rote had the most comfortable seven months. In general, during the summer (June - August) the TCI value (≥ 70) has increased so as to provide comfort for beach tourism destinations. The best time for traveling is best visited during the peak of the dry season (June to August) while in the rainy season (November - February) is the worst time to travel.
ANALISIS DATA GRAVITASI UNTUK IDENTIFIKASI SESAR LOKAL PENYEBAB GEMPABUMI DI WILAYAH BARAT DAYA SUMBA INDONESIA Relly Margiono; Adinda Novitri; Anggi Pevriadi; Hilmi Zakariya
Jurnal Meteorologi dan Geofisika Vol. 22 No. 2 (2021)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v22i2.824

Abstract

Pulau Sumba terletak pada Zona Transisi Busur Sunda-Banda dan memisahkan Cekungan Savu dengan Cekungan Lombok. Pulau ini memiliki tatanan tektonik yang komplek dan termasuk wilayah yang rawan terhadap bencana gempabumi. Berdasarkan monitoring kegempaan oleh Badan Meteorologi Klimatologi dan Geofisika (BMKG), telah terjadi gempabumi sebanyak 380 kali sejak 5 Agustus 2020 hingga 12 Agustus 2020. Gempabumi tersebut merupakan jenis gempabumi dangkal akibat deformasi kerak benua di dasar laut. Berdasarkan kejadian gempa tersebut, penelitian ini mencoba untuk mengidentifikasi struktur bawah permukaan pada lokasi hiposenter gempa dengan menggunakan data gravitasi dari Satelit Topex dan juga untuk menentukan nilai anomali bouger di wilayah tersebut. Metode yang digunakan adalah Second Vertical Derivative (SVD) dan First Horizontal Derivative (FHD) untuk mengetahui batas karakteristik geologi dan batas bidang kontak struktur. Berdasarkan hasil analisis FHD dan SVD, didapatkan struktur sesar yang memanjang dari Barat Laut ke Tenggara dengan mekanisme sesar turun. Selain itu, didapatkan nilai anomali bouguer pada rentang -29,6 mGal hingga 184,5 mGal.
Analisa sistem komunikasi data berbasis Internet of Things (IoT) menggunakan metode PIECES pada Sistem Pengamatan Cuaca Otomatis di Badan Meteorologi Klimatologi dan Geofisika (BMKG) Ariffudin Ariffudin; Purnawarman Musa
Jurnal Meteorologi dan Geofisika Vol. 23 No. 2 (2022)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v23i2.831

Abstract

Stasiun Pengamatan Cuaca pada Badan Meteorologi Klimatologi dan Geofisika (BMKG) telah merapatkan jaringan stasiun pengamatan cuaca guna menghasilkan akurasi data yang lebih baik. BMKG memiliki kurang lebih 1000 dan jumlah ini masih jauh dari ideal untuk kerapatan jaringan pengamatan cuaca se-Indonesia. Stasiun pengamatan cuaca yang terbagi dalam 3 (tiga) type yaitu Automatic Rain Gauge (ARG), Automatic Weather Station (AWS) dan Agroclimate Automatic Weather Station (AAWS). Pemuktahiran sistem pengiriman data dari stasiun pengamat cuaca terhadap protokol pengiriman File Transfer Protocol (FTP) melalui modem General Packet Radio Service (GPRS) setiap 10 menit, dengan upgrade teknologi Internet of Things (IoT) perlu peninjauan terhadap kinerja operasional sistem komunikasi data. Karakteristik data yang kecil sangat cocok pada teknologi Internet of Things dengan menggunakan protokol Message Queuing Telemetry  Transport (MQTT) guna monitoring data-data cuaca secara real-time. Berdasarkan hasil kajian dan penelitian dengan pengujian yang dilakukan terhadap metode komunikasi protokol FTP dengan protokol IoT MQTT pada stasiun AWS menggunakan analisa dengan metode PIECES (Performance, Information, Economic, Control, Efisiency dan Service) menunjukkan protokol MQTT yang berbasis IoT sebagai konsep komunikasi data yang tepat dimasa depan mengantikan protokol FTP. 
ANNUAL AND SEMI-ANNUAL VARIATIONS OF THE GPS-DERIVED PRECIPITABLE WATER VAPOR OVER SUMATRA ISLAND Dudy D. Wijaya; Nabila S.E. Putri; Yan A. Rahmawan; Sidik T. Wibowo; Akhmad Y. Basuki; Muhammad S. Fathulhuda; Vera Sadarviana
Jurnal Meteorologi dan Geofisika Vol. 22 No. 2 (2021)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v22i2.835

Abstract

We have utilized the Global Positioning System (GPS) data at 57 stations distributed over Sumatra Island to investigate spatio-temporal variations of the atmospheric precipitable water vapor (PWV). We focused on the annual and semi-annual cycles of the PWV. Our results show that Sumatra Island is divided into two distinct areas of annual and semi-annual cycles, where the boundary line between the areas is approximately at 2oS. While the annual cycle dominates the area over the southern side of 2oS, the semi-annual cycle is dominant over the northern side. Our results have further shown that the maximum phase of annual cycle occurs between January-March with considerably large amplitudes (10-15 mm). On the other side, the maximum phase of the semi-annual cycle in general occurs around November and May, whose amplitude is approximately between 1-5 mm. Our results are consistent with other results using rainfall data.
Pemodelan Bahaya Tsunami dan Evaluasi Strategi Evakuasi di Tanjung Benoa Bali untuk mendukung upaya Safe-Tourism Bali Kembali Nuraini Rahma Hanifa; Nurul Sri Rahatiningtyas; Iman Fatchurochman; Endra Gunawan; Dwi Hartanto; Ida Bagus Oka Agastya; I Nyoman Putera Indrawan; Giovanni Cynthia Pradipta; Tomy Gunawan; Yogha Mahardikha Putra
Jurnal Meteorologi dan Geofisika Vol. 23 No. 1 (2022)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v23i1.837

Abstract

Salah satu upaya untuk mendorong Bali Kembali dalam era normal baru pasca pandemi Covid-19 yaitu menekan disrupsi dari bencana, diantaranya ancaman gempa dan tsunami. Penelitian ini bertujuan untuk memutakhirkan pemodelan bahaya tsunami, mengevaluasi tempat dan jalur evakuasi, menggali sejauh mana masyarakat dan wisatawan memahami informasi peringatan tsunami dari BMKG dan BNPB, dan perintah evakuasi dari BPBD. Melalui penelitian ini diharapkan dapat memberikan manfaat bagi sektor kesehatan, pariwisata, ekonomi dan sosial budaya secara langsung kepada masyarakat di Provinsi Bali. Penelitian ini meliputi delapan tahap yaitu, 1) identifikasi sumber dan bahaya gempa pemicu tsunami; 2) identifikasi parameter sumber gempa; 3) pemodelan tsunami; 4) survei lapangan; 5) analisis data eksposur; 6) network analysis closest facility, 7) gap analysis, dan 8) analisis pemahaman masyarakat terhadap tsunami dan evakuasi mandiri. Hasil dari penelitian ini menunjukkan bahwa seluruh area Tanjung Benoa memiliki potensi terdampak tsunami. Estimasi tinggi tsunami di sisi Timur berkisar 10-14 m , estimasi tinggi tsunami di sisi Barat berkisar 3-6 m dan estimasi waktu tiba tsunami berkisar 20-25 menit. Hasil penelitian ini mengindikasikan bahwa perlu mempertimbangkan untuk amendemen Peraturan Gubernur, terkait estimasi waktu kedatangan tsunami, yang tertulis 30 menit.  Saat ini terdapat 8 hotel terdistribusi di sepanjang pantai sisi timur sebagai tempat evakuasi. Namun hanya dapat  menampung setengah penduduk, di luar jumlah wisatawan. Sehingga perlu penambahan tempat evakuasi di wilayah Tanjung Benoa, dengan tinggi minimal 20 meter. Mengingat peraturan batas tinggi bangunan di wilayah Bali, maka direkomendasikan adanya pengecualian untuk kasus ini, dan bisa dipertimbangkan adanya Pura di bagian atas dari tempat evakuasi.

Page 13 of 18 | Total Record : 174

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