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 157 Documents
 12   13   14   15   16 
Simulasi Numerik Gelombang Tinggi di Sulawesi Utara Saat Terjadi Siklon Tropis Kimi Menggunakan Model Gelombang SWAN Andariwan, Yogi Muhammad; Ningsih, Nining Sari; Kartadikaria, Aditya Rakhmat
Jurnal Meteorologi dan Geofisika Vol. 25 No. 2 (2024)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v25i2.1104

Abstract

This study investigates wind and wind wave conditions in North Sulawesi waters based on their climatological characteristics and a case study of when high waves occurred during Tropical Cyclone (TC) Kimi. Climatological characteristics are calculated by using ERA5 data and the case study is conducted by simulation using Simulating Waves Nearshore (SWAN) wave model. Model verification was performed by comparing the significant wave height (SWH) from SWAN with observation data from wave buoys in Albatross Bay, Townsville, and Emu Park. The statistical results provide biases of -0.11 m, 0.22 m, and 0.16 m, respectively. The Root Mean Square Error (RMSE) values are 0.14 m, 0.28 m, and 0.23 m, and the correlation coefficients are 0.54, 0.8, and 0.95. During the December- February (DJF) period, wind speed peaks in February (3.0-6.5 m/s), and the SWH reaches 0.5-0.8 m. On 17th of January 2021, Manado's coastline experienced high waves, coinciding with the active phase of TC Kimi near northeastern Australia from 15th to 19th of January 2021. As TC Kimi developed, wind speeds in North Sulawesi increased to 7.0–12 m/s, triggering waves reaching 1.0–1.8 meters with an anomaly of 1–1.5 meters. This wave activity experienced a time lag of +19 hours in response to the wind speeds generated by TC Kimi.
EVALUASI METODE KOREKSI BIAS UNTUK PREDIKSI CURAH HUJAN BULANAN ECMWF SEAS5 DI INDONESIA Hutauruk, Rheinhart C H; Rahmanto, Edi; Al Habib, Abdul Hamid; Yoku, Priskila Wilhelmina; Giriharta, I Wayan Gita; Trilaksono, Nurjanna Joko; Hadi, Tri Wahyu
Jurnal Meteorologi dan Geofisika Vol. 25 No. 2 (2024)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v25i2.1124

Abstract

The seasonal rainfall forecast from ECMWF SEAS5 often suffers from biases that reduce its accuracy, limiting its use in applications like water resource management and agricultural planning. This study evaluates the effectiveness of bias correction methods in enhancing the skill of ECMWF SEAS5 seasonal precipitation forecasts in Indonesia. Observational data from 148 BMKG rain gauges and SEAS5 raw output from 2011 to 2020 are used. Three bias correction methods—linear scaling (LS), empirical distribution quantile mapping (EQM), and gamma distribution quantile mapping (GQM)—are applied to the raw model. Model performance is assessed using scatter plots, root mean square error (RMSE), correlation, and Taylor diagrams. The results show LS consistently outperforms EQM and GQM, reducing RMSE from 128 to 102 and improving correlation from 0.57 to 0.65. Additionally, Brier Score (BS) and Relative Operating Characteristic (ROC) analysis highlight significant improvements in probabilistic predictions, especially in areas with high rainfall variability. These findings indicate LS as a particularly effective approach for bias correction, enhancing accuracy and reliability. This study underscores the potential of applying bias correction methods like LS to improve ECMWF SEAS5 forecasts, supporting better decision-making for climate change adaptation and mitigation in Indonesia.
ANALISIS KECEPATAN GELOMBANG GESER (Vs) MENGGUNAKAN MULTICHANNEL ANALYSIS OF SURFACE WAVE (MASW) DI KECAMATAN JAMBI LUAR KOTA Musyarofah, Leni Nurli; Resta, Ichy Lucya; MZ, Nasri
Jurnal Meteorologi dan Geofisika Vol. 25 No. 1 (2024)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v25i1.872

Abstract

Jambi Luar Kota is one of the sub-districts with an increasing population density and development level. It can be seen in the last 10 years (2010-2020), 39 populations/km2 with a total population of 62,687 people. The increase in population density impacts infrastructure development, which also increases. The site class maps need to be considered for infrastructure development by considering the development rules in accordance with SNI 1726:2019. This study used the Multichannel Analysis of Surface Wave (MASW) method, which measures variations in surface wave velocity with 21 lines. The average value of the shear wave velocity at a depth of 30 m MASW measurements ranged from 153.24 m/s - 420.86 m/s, consisting of SC site class, SD site class, and SE site class.  SC site class with a Vs30 value of 358.88 m/s-420.86 m/s was found on the east side of the middle part of the Jambi Luar Kota Sub-district. Meanwhile, the SD site classes are evenly distributed in the Jambi luar Kota Sub-district.  The SE site class is located on the north and east sides of the Jambi Luar Kota Sub-district with a Vs30 value of 153.24 m/s, which in this case is supported by geotechnical data in the form of water content (w) (43.03%), plasticity index (PI) (23.26) and a shear strength test of 17,652 kPa.  The area with a low Vs30 value (<175 m/s) is an area that has the potential to get relatively more significant shocks when ground movement occurs.
Perbandingan Prediksi Asimilasi data Radiasi Satelit Pada Kejadian Siklon Tropis Seroja Menggunakan WRFDA CRTM dan RTTOV Kurniati, Ranti; Sagita, Novvria; Hanggoro, Wido
Jurnal Meteorologi dan Geofisika Vol. 25 No. 1 (2024)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v25i1.932

Abstract

Tropical cyclone prediction is essential for the process of mitigating the resulting disasters. Several numerical weather models have been developed but still produce errors in tropical cyclone predictions. Data assimilation is one method that can improve the initial condition values of numerical weather prediction models so that they can approach actual atmospheric conditions to reduce tropical cyclone prediction errors. Due to the limited meteorological parameter data used for data assimilation at the location of tropical cyclone events, most of which occur in ocean areas, satellite data is needed. Radiation data is initial data from satellite data, which is then transformed into meteorological parameter data using the radiative transfer model (RTM). The Weather Research and Forecasting (WRF) model data assimilation system (WRFDA) is an open-based numerical weather and data assimilation model that has 2 RTM options, namely the Radiative Transfer Model for TIROS Operational Vertical Sounder (RTTOV) and the Community Radiative Transfer Model (CRTM). This research uses two different RTMs to compare the prediction results of Tropical Cyclone Seroja, including minimum pressure, maximum wind speed, and trajectory. The research results show that predictions of minimum pressure, maximum wind speed, and trajectory of tropical cyclone Seroja by a numerical weather model assimilated with satellite radiation data are better than without assimilation. Furthermore, the assimilation of radiation data with RTTOV has the best accuracy in predicting the maximum wind speed and minimum pressure of tropical cyclone Seroja. Meanwhile, the assimilation of radiation data with CRTM can produce a minimum error in the trajectory of tropical cyclone Seroja. Future research requires adding satellite radiation data from various sensors and satellites.
PROYEKSI KEKRITISAN AIR TAHUN 2021-2035 BERDASARKAN SKENARIO CMIP6 (COUPLED MODEL INTERCOMPARISON PROJECT PHASE 6) DI DAERAH ISTIMEWA YOGYAKARTA Naim, Asshaffa; Zerlinda, Aurelia; Oktaviani, Malinda Budi; Abidin, Pramuditya Vanesya Putri Febrian; Nurjani, Emilya; Sekaranom, Andung Bayu; Setyaningrum, Etik; Prabowo, Andriyas Aryo
Jurnal Meteorologi dan Geofisika Vol. 25 No. 1 (2024)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v25i1.1063

Abstract

Climate change can lead to an imbalance between water demand and supply, resulting in problems such as water scarcity. To avoid this, a projection of the level of water scarcity is needed. Water scarcity is calculated as the percentage of water demand to water supply. This research aims to determine the level of need, availability, and scarcity of meteorological water. This research uses meteorological water supply obtained through Thornthwaite- Mather water balance calculation from CMIP6 rainfall and temperature projection modeling data in SSP2 and SSP5 scenarios. CMIP6 data was corrected using distribution mapping and average ratios methods to improve the distribution and data values. Water demand indicators are reviewed from three sectors, namely domestic water demands, agricultural water demands, and livestock water demands. The water supply calculation results in Daerah Istimewa Yogyakarta (DIY) show a pattern that fluctuates from year to year during the 2021-2035. Meanwhile, water demand continues to increase along with population growth. The level of water scarcity shows that, overall, DIY is classified as not critical to slightly critical in the SSP2 scenario and not critical to critical in the SSP5 scenario. The difference in the level of scarcity is influenced by socio-economic development and climate change mitigation efforts assumed in each scenario. By knowing the projected level of water scarcity, policymakers are expected to pursue appropriate climate change mitigation measures to actualize the best SSP scenario.
Respon Parameter Upwelling Sebelum, Saat, dan Setelah Terjadi Siklon Tropis: Studi Kasus Siklon Tropis Marcus Akbar, M. Apdillah; Sosaidi, Dedi Sucahyono; Napitupulu, Gandhi; Tahir, Andi Akbar R.
Jurnal Meteorologi dan Geofisika Vol. 25 No. 1 (2024)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v25i1.1071

Abstract

Tropical cyclones (TC) can cause damage when they are on the land surface, but on the other hand TC contribute to ocean productivity through upwelling or downwelling when they pass through the ocean. Information of the location and timing of upwelling and downwelling is important for fishing - activities estimation. High chlorophyll-a concentrations and low sea surface temperatures are proxies for upwelling events in the ocean. This study aims to investigate the effects of the TC Marcus on the chlorophyll-a distribution in the Timor Sea using a combination of remotely sensed data from Aqua MODIS chlorophyll-a and ocean-atmosphere reanalysis outputs. The results showed that wind speed, sea surface temperature, salinity, and ocean currents were increased during the TC Marcus event. Spatial analysis reveals that the concentration of chlorophyll-a is high in the waters of the Timor Sea, at coordinates around 12°–13° S and 125°–129° E. High chlorophyll-a concentrations occurred before and after TC Marcus event, according to temporal analysis. The distribution of chlorophyll-a concentrations decreased on March 17–24, 2018, during the occurrence of the TC Marcus in the Timor Sea.
DAMPAK COLD SURGE (CS) TERHADAP NET SURFACE HEAT FLUX (NSHF) DI LAUT NATUNA Agdialta, Rezfiko; Ningsih, Nining Sari; Trilaksono, Nurjanna Joko
Jurnal Meteorologi dan Geofisika Vol. 25 No. 1 (2024)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v25i1.1103

Abstract

Cold Surge (CS) events are often associated with rainfall occurrences in the Jakarta area. However, there is still limited literature on how CS affects other parameters in Indonesia. This study aims to contribute to this literature, particularly regarding the crucial role of CS in the interaction between the ocean and the atmosphere. This research uses the composite difference method to compare changes in Wind Speed (WS), Latent Heat Flux (LHF), Sensible Heat Flux (SHF), Shortwave Radiation (SWR), Longwave Radiation (LWR), and Net Surface Heat Flux (NSHF) during CS phases versus neutral conditions no CS (nCS). The composite difference results indicate an increase in wind speed in the study area, Natuna Sea, with values of 1.17 m/s, 1.45 m/s, and 1.69 m/s for December, January, and February, respectively. This finding explains that the increase in wind speed significantly influences LHF in the negative direction, meaning more LHF is transferred from the ocean to the atmosphere during the CS phase. LHF also predominantly affects NSHF in the study area during the CS period, indicating that more NSHF is leaving the ocean and entering the atmosphere compared to the amount entering the ocean from the atmosphere during the CS phase.

Page 16 of 16 | Total Record : 157

 12   13   14   15   16 

Filter by Year

2015 2024


Reset
Filter By Issues
All Issue 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