cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Rezky Yunita
Contact Email
rezky.yunita@bmkg.go.id
Phone
+6282125693687
Journal Mail Official
jurnal.mg@gmail.com
Editorial Address
Jl. Angkasa 1 No. 2 Kemayoran, Jakarta Pusat 10720
Location
Kota adm. jakarta pusat,
Dki jakarta
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
 10   11   12   13   14 
DISTRIBUSI FREKUENSI GEMPA DAN DIMENSI FRAKTAL PADA SEISMIK GAP DI INDONESIA Rahmat Setyo Yuliatmoko; Yusuf Hadi Perdana; Agustya Adi Martha
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.v22i2.771

Abstract

Seismic gap didefinisikan sebagai wilayah potensi gempa tinggi yang seharusnya telah melepaskan energi sebagai gempa besar, namun berdasarkan data katalog pelepasan energi tersebut belum terjadi. Identifikasi zona seismic gap dapat digunakan dalam meningkatkan kewaspadaan, penentuan prioritas monitoring kegempaan, warning tsunami, pertimbangan pembangunan infrastruktur, dan tata kota wilayah sehingga perlunya pemahaman yang akurat tentang karakteristik gempabumi di Indonesia. Dalam penelitian ini, baik a Value maupun b Value dari hubungan distribusi frekuensi-magnitudo dan fractal dimension (Dc) diteliti secara bersamaan dari 12 zona seismic gap di Indonesia. Dengan menggunakan data gempabumi, perhitungan b-value dan Dc-value telah menyiratkan adanya variasi seismotectonic stress. Hubungan antara Dc-b dan Dc-(a/b) diteliti untuk mengkategorikan tingkatan bahaya gempabumi dari zona sumber seismik, dimana kalibrasi kurva menggambarkan korelasi negatif antara Dc dan b-value (Dc=0.1146b-1.9029) dan korelasi negatif antara Dc dan rasio a/b (Dc=0.0443(a/b)-6.825) dengan koefisien korelasi yang berbeda antara R2=0.0011 dan R2=0.0027 untuk kedua regresi. Berdasarkan hubungan Dc-b lebih terpercaya dan lebih efektif, diinterpretasikan secara tektonik bahwa zona West Papua dan Fault Sumatera Selatan menunjukkan akumulasi stress yang rendah sedangkan zona Backthrust Bali dan Halmahera sebagai wilayah dengan stress tertinggi, yang berpotensi terjadinya gempa besar. Oleh karena itu, disarankan untuk di kaji lebih detail untuk memahami karakteristiknya sebagai upaya mitigasi bencana gempabumi.
PENCITRAAN STRUKTUR KECEPATAN GELOMBANG RAYLEIGH DI PULAU SULAWESI DAN NUSA TENGGARA TIMUR MENGGUNAKAN AMBIENT NOISE TOMOGRAPHY Muhamad Fadhilah; Abdul Haris; Bayu Pranata; Agustya Adi Martha; Nova Heryandoko; Supriyanto Rohadi
Jurnal Meteorologi dan Geofisika Vol. 22 No. 1 (2021)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v22i1.778

Abstract

Pulau Sulawesi dan Nusa Tenggara Timur (NTT) merupakan wilayah yang memiliki tatanan tektonik kompleks, sehingga penting untuk menggambarkan kondisi bawah permukaan wilayah tersebut. Metode Ambient Noise Tomography (ANT) digunakan untuk memahami struktur tektonik tersebut dengan mencitrakan struktur kerak atas di bawah area penelitian ini. Pada penelitian ini, kami menggunakan data waveform komponen vertikal dari Januari 2020 hingga Mei 2021 dari 89 seismograf INATEWS- BMKG di Pulau Sulawesi dan NTT. Secara umum, tahap pertama dimulai dari pemrosesan data berfokus pada persiapan data tunggal dan korelasi silang untuk memperkiraan fungsi Green antara pasangan stasiun. Estimasi waktu tempuh kelompok gelombang Rayleigh untuk periode 2 s dan 12 s diperoleh dari waktu tunda hasil korelasi silang. Peta yang diperoleh menunjukkan variasi kecepatan gelombang Rayleigh di daerah penelitian berkisar antara 1,8 – 2,5 km/s. Teknik analisis frekuensi-waktu (Frequency-Time Analysis) digunakan untuk mendapatkan kurva dispersi untuk mengukur kecepatan kelompok antar stasiun. Kecepatan grup digunakan sebagai input dalam inversi tomografi. Proses tomografi dilakukan dengan menggunakan FMST v1.1 dimana pemodelan forward dan inverse dilakukan secara iteratif. Hasil pemodelan untuk periode 2 s menunjukkan bahwa Sulawesi Barat dan Sulawesi Utara memiliki anomali kecepatan yang lebih rendah (1,8 km/s) dibandingkan wilayah lain (2,0 – 2,3 km/s). Pada periode 12 s anomali kecepatan rendah berada di wilayah Sulawesi Utara. Anomali kecepatan rendah ini berkorespondensi dengan gunung berapi dan dataran Inter-Volcano yang berumur Kuarter di Sulawesi. Sementara untuk wilayah NTT nilai kecepatan gelombang Rayleigh berkisar antara 1,8 – 2,4 km/s.
PENGARUH FENOMENA SUNSPOT TERHADAP VARIASI SUHU UDARA DAN KELEMBAPAN RELATIF DI KOTA MEDAN Yosafat Donni Haryanto; Nelly Florida Riama; Dendi Rona Purnama
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.v23i2.781

Abstract

Pengaruh aktivitas Matahari terhadap cuaca dan iklim telah menjadi topik penelitian setelah siklus 11 tahunan sunspot ditemukan. Penelitian ini bertujuan untuk mengetahui pengaruh sunspot terhadap variasi suhu udara dan kelembapan relatif (RH) di Kota Medan. Dalam penelitian ini digunakan data rata-rata harian suhu udara dan RH selama 30 tahun dari tahun 1985 – 2014 di Stasiun Meteorologi Kualanamu yang diperoleh dari BMKG. Sementara itu, data bilangan sunspot (sunspot number) harian tahun 1985 – 2014 diperoleh dari Solar Influences Data Analysis Center (SIDC) - The Royal Observatory of Belgium (RWC). Metode yang digunakan dalam penelitian ini adalah metode statistik. Hasil penelitian menunjukkan bahwa koefisien determinasi R² antara sunspot number dengan parameter suhu udara dan RH secara berturut-turut adalah 0,9 dan 2,2. Sementara itu, koefisien korelasi antara sunspot number dengan parameter suhu udara dan RH secara berturut-turut adalah -0,058 dan 0,038. Semua variabel menunjukkan p-value <0,05 yang berarti signifikan secara statistik. Sehingga, peningkatan bilangan sunspot berpengaruh secara signifikan terhadap penurunan suhu udara dan peningkatan RH di Kota Medan.
IDENTIFIKASI LAPISAN BAWAH PERMUKAAN DAERAH PROSPEK PANAS BUMI SONGA-WAYAUA BERDASARKAN METODE MAGNETOTELURIK Rikaldo Pratama; Ichy Lucya Resta; Faizar Farid; Wiwid Joni
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.v22i2.786

Abstract

Manifestasi panas bumi yang terdapat di daerah Songa, Halmahera Selatan, Maluku Utara, berupa sumber mata air panas, fumarol dengan hembusan asap, kolam-kolam lumpur tanah panas dan alterasi. Reservoir daerah prospek panas bumi Songa-Wayaua diduga berada pada kedalaman >400 m. Distribusi nilai resistivitas rendah <30 Ωm mengindikasikan terdapatnya clay cap sebagai lapisan impermeabel. Distribusi resistivitas sedang 50-100 Ωm diindikasikan terdapatnya reservoir sebagai tempat terakumulasinya fluida, sedangkan resistivitas tinggi >1000 Ωm dicirikan terdapatnya heat source sebagai sumber panas. Daerah panas bumi Songa-Wayaua telah dilakukan pengukuran metode survei pendahuluan yaitu metode geolistrik, metode gaya berat, dan metode magnetik, sedangkan metode magnetotelurik masih belum ada. Metode Magnetotelurik (MT) merupakan metoda eksplorasi geofisika yang memanfaatkan medan elektromagnetik alami bumi. Pengolahan data yang didapatkan dari perekaman data MT berupa Time series. Untuk dapat diubah menjadi kurva resistivitas MT, data tersebut harus melalui beberapa tahap pemrosesan yang meliputi fourier transform, dan seleksi cross power serta masking dan smoothing data sehingga didapatkan model bawah permukaan. Dari 7 titik pengukuran diperoleh sebaran nilai resistivitas berkisar antara 1 – 4500 Ωm dimana batuan penudung dengan nilai resistivitas <30 Ωm dan ketebalan 500 m. Reservoir dengan nilai resisitivitas 50-600 Ωm dan ketebalan 1000 m, sedangkan heat source berada pada kedalaman 1500 m dengan nilai resistivitas 1000-4500 Ωm. Terdapat dua sesar sebagai pengontrol munculnya mata air panas, yaitu Sesar Pele-pele dan Sesar Lapan.
The Utilization of Weather Research Forecasting (WRF) Model of 3DVar (Three Dimensional Variational) and Himawari-8 Satellite Imagery to the Heavy Rain in Palangkaraya (Case Study : April 27, 2018) Nadine Ayasha; Leny Octaviana Bota
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.v23i3.790

Abstract

On April 27, 2018 heavy rain was occurred in Palangkaraya. Based on surface data observations at Tjilik Riwut Meteorological Station, the peak of rain occurred between 18-21 UTC, which 54 mm within 3 hours. As a result, the flood inundated on the following day. This research purposed to discover the cause of heavy rain used the WRF model of 3DVar technique that assimilated with AMSU-A satellite which used the tropical physic suite parameterization scheme and Himawari-8 Satellite (IR-1 data), processed by Python Programming. Based on the results, the WRF of the 3DVar model is not representative enough in total rainfall results. However, several weather disturbances show the potency for severe weather occurrence from WRF 3DVar modeling. These are indicated by the shear line and eddy circulation at 18 and 21 UTC, and the time series of air pressure decreases with a 0.5 Mb tendency between 15 to 18 UTC. Moreover, the cloud top temperature graph from Himawari-8 Satellite data shows a drastic reduction in temperature to -61.4323 at 18.20 UTC, which supports the heavy rain process. The weather analysis above show that WRF 3DVar is not representative enough for total rainfall result, but appropriate for other weather aspects (shear line, eddy, and air pressure). Therefore, the heavy rain is caused by shear line and eddy condition, air pressure and low temperature of the cloud top.
THE IMPACT OF COVID-19 OUTBREAK ON AIR POLLUTION LEVELS USING ARIMA INTERVENTION MODELLING: A CASE STUDY OF JAKARTA, INDONESIA Dyah Makutaning Dewi; Ariful Romadhon; Istu Indah Setyaningsih; Ika Yuni Wulansari
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.v23i3.791

Abstract

Jakarta is a region with a high number of COVID-19 cases in Indonesia. This study investigates the impact of the COVID-19 pandemic and the resulting large scale social restriction on air pollution levels in Jakarta, Indonesia, by studying particulate matter (PM10) levels. This study employs ARIMA intervention using daily COVID-19 case data from January 1, 2020 to September 30, 2020 (the period before and after the first case of COVID-19 in Indonesia on March 2, 2020). The analysis shows COVID-19 started to impact PM10 in Jakarta on the 11th day after confirming the first case in Indonesia, which is indicated by an unordinary increase in PM10 level. However, on the 12th day after intervention, the PM10 level decreases. This occurred at the beginning of the period when large-scale social restrictions are imposed. However, one month after intervention, PM10 increases again and continues to increase until the end of the study. This is allegedly because people are accustomed to being ignorant and bored with the pandemic situation. Social restrictions and movements are no longer effective, which results in the rise of PM10 levels again. Hence, it can be concluded that COVID-19 impacts air quality in Jakarta even though the impact is minimal and in the short term.
Identification of the Puting Beliung Event by Utilizing the Interpretations of Radar Products and Himawari-8 Weather Satellite (Case Study Puting Beliung Incident, November 22, 2018 in Jakarta) Iga Rusmala; R. Zikri; R. N. Rahman; M. I. R. Ansori; I. R. Nugraheni; A. Ali
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.v23i3.799

Abstract

Indonesia was shocked again by a Puting beliung or tornado-like incident on November 22, 2018, in the Jakarta area. This incident caused many losses. In this regard, a study was conducted to observe the reflectivity products to identifiy the hook echo or bow echo patterns, and the velocity products for mesocyclone patterns as the characteristic of the Puting Beliung used radar product. The study required the Cengkareng C-Band raw data radar that was processed to produce CMAX, VCUT, and CAPPI (V) at 0.5 km, 1.0 km, and 1.5 km elevations overlay by HWIND. The CMAX and VCUT radar products are used to identify the cloud structure that caused Puting Beliung, by observed the highest reflectivity of the Puting Beliung-producing clouds. Then the CAPPI product overlay by HWIND is used to identify the movement of the wind which is suspected to be the beginning of the formation of a Puting Beliung at that location which is characterized by the presence of a mesocyclone pattern in the form of wind components and radial velocity. It was suspected that there was a wind rotating in the Central Jakarta area which indicated a Puting Beliung in the area. The analysis of this radar interpretation was then validated using satellite imagery to detect the cumulonimbus clouds forming the Puting Beliung. From this research, it is known that the Puting Beliung occurred around 08.12 UTC. The growth of cyclone-producing clouds occurred rapidly with a reflectivity value between 35 - 45 dBZ and wind speed up to 35 knots. Analysis of satellite imagery showed a significant decrease in cloud peak temperature so that the formation of convective clouds in the form of Cumulonimbus clouds indicates the phenomenon of the Puting Beliung. However, in this case study the Puting Beliung phenomenon is indicated as seen from the mesocyclone pattern of the rotating radial velocity component, and not from the hook echo or bow echo pattern.
ANALYSIS OF SURFACE CONCENTRATION OF BLACK CARBON IN RIAU PROVINCE DURING THE 2019 FOREST FIRES USING MERRA-2 REANALYSIS DATA Wilin Julian Sari; Dita Fatria Andarini; Fildzah 'Adany; Waluyo Eko Cahyono
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.v23i1.800

Abstract

Indonesia experienced forest fires almost every year, especially in the area of Riau Province, where as a result, pollutants such carbon dioxide and black carbon present in the air over Riau. Due to its size and its light absorption ability, black carbon is known to have bad impacts on the climate. This study aims to analyse the effect of forest fires that happened in Riau   province, Indonesia in September 2019 towards the production of black carbon, as well as to estimate backward air movement trajectory in order to confirm the air mass sources of the black carbon. The data of black carbon concentration used in this study is an hourly temporal data of MERRA-2 with a spatial resolution of 0.5° × 0.625°, while the trajectory calculation uses the HYSPLIT trajectory model. Linear regression of this study has an r value of 0.78 which shows that there is a positive correlation between black carbon concentration and number of hotspots. The range of BC concentrations were 2–11 × 10-9 kg.m-3 with higher concentration occurred during 9–23 September 2019 where it was affected by the south-easterly wind from Jambi and South Sumatera.
GEODETIC SLIP RATE ESTIMATES FOR THE KUMERING AND SEMANGKO SEGMENTS OF THE SUMATERA FAULT Irwan Meilano; Susilo Susilo; Endra Gunawan; Budi Parjanto
Jurnal Meteorologi dan Geofisika Vol. 22 No. 1 (2021)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v22i1.802

Abstract

The Sumatran fault is a right lateral active inland fault in southern Sumatra, Indonesia. Although historical earthquake records have shown that magnitude 7 class earthquakes have occurred during the last century, the slip rates along the Sumatran fault have not been studied in detail. This is the first research using a new dense GPS array, in which stations are orthogonal to the fault, to analyze the fault slip rates along the Kumering and Semangko segments in southern Sumatra. In this study, we process GPS data from 14 campaign and continuous GPS points. The results show velocities of 14 mm/yr and 15 mm/yr for these two fault segments, respectively. Our estimated geodetic slip rate suggests that the Sumatran fault has a relatively homogeneous slip rate from southern to northern Sumatra.
IMPORTANCE OF UPDATING FOR MONTHLY RAINFALL PREDICTION BASED ON ECMWFs4 Achmad Maulana Rafi; M. Ryan; A. Kurniawan; E. F. Wua
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.v23i3.803

Abstract

There is uniqueness in climate services in East Java. Rainfall information is delivered as N-1 analysis for ongoing months N+1, N+2, and N+3 for monthly prediction. This study aims to investigate whether updating monthly predictions improves prediction accuracy. The verification method for this study is based on the percentage accuracy of the rain class category according to SNI 8196: 2015. The data used for this study is ECMWF's monthly rainfall prediction that has three lags system (1, 2, and 3). Rasters of monthly rainfall interpolation from the main rainfall observation (197 locations) in East Java from April 2015 to May 2020 (62 months) are used for the verification process. The temporal and spatial analysis then conducted using R (+ package raster). Studies based on the local governmental zone are also used. In general, the result shows that almost all months need updating, except April-September-October. Verification of ECMWFs4 shows a better verification result (0,56) in the past five years (2016-2020) for March. The regions that need monthly updating are Bawean island, the coast of Gresik, Pasuruan, and Banyuwangi

Page 12 of 18 | Total Record : 174

 10   11   12   13   14 

Filter by Year

2015 2025


Reset
Filter By Issues
All Issue Vol. 26 No. 2 (2025) Vol. 26 No. 1 (2025) Vol. 25 No. 2 (2024) Vol. 25 No. 1 (2024) Vol. 24 No. 2 (2023) Vol. 24 No. 1 (2023) Vol. 23 No. 3 (2022): Special Issue Vol. 23 No. 2 (2022) Vol. 23 No. 1 (2022) Vol. 22 No. 2 (2021) Vol. 22 No. 1 (2021) Vol. 21 No. 2 (2020) Vol. 21 No. 1 (2020) Vol. 20 No. 2 (2019) Vol. 20 No. 1 (2019) Vol. 19 No. 2 (2018) Vol. 19 No. 1 (2018) Vol. 18 No. 3 (2017) Vol. 18 No. 2 (2017) Vol. 18 No. 1 (2017) Vol. 17 No. 3 (2016) Vol. 17 No. 2 (2016) Vol. 17 No. 1 (2016) Vol. 16 No. 3 (2015) Vol. 16 No. 2 (2015) More Issue