Jurnal Meteorologi Klimatologi dan Geofisika
Journal of Meteorology Climatology and Geophysics (Journal of MKG) is a scientific journal as a means of communication to report the results of research in the field of meteorology, climatology, air quality, geophysics, environment, disaster, and related instrumentation. This scientific journal is published every four months of the year.
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<![CDATA[RESPON KEJADIAN MESOSCALE CONVECTIVE SYSTEM DENGAN GABUNGAN MODEL ATMOSFER-OSEANOGRAFI-HIDRODINAMIKA TERHADAP POTENSI GELOMBANG BADAI DAN INUNDASI DI AREA PESISIR KEPULAUAN TANIMBAR ]]>
<![CDATA[Pratama, Khafid Rizki]]>;
<![CDATA[Siadari, Ejha Larasati]]>;
<![CDATA[Pratama, Bayu Edo]]>
<![CDATA[ Jurnal Meteorologi Klimatologi dan Geofisika Vol 6 No 2 (2019): Jurnal Meteorologi Klimatologi dan Geofisika ]]>
Publisher : <![CDATA[Unit Penelitian dan Pengabdian Masyarakat Sekolah Tinggi Meteorologi Klimatologi dan Geofisika ]]>
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DOI: 10.36754/jmkg.v6i2.124
<![CDATA[Interaksi laut dan atmosfer memegang peranan penting dalam pembentukan aktivitas konvektif di wilayah Kepulauan Tanimbar, interaksi kedua sistem tersebut dapat menimbulkan fenomena pola konvektif skala meso dan menyebabkan pengaruh yang signifikan terhadap pembentukan hujan dan angin kencang di wilayah tersebut. Sistem pergerakan dan peningkatan kecepatan angin akan berdampak pada naiknya gelombang air laut ke pesisir sehingga membentuk gelombang badai dan banjir pesisir (rob). Penelitian ini mengkaji bagaimana pengaruh Mesoscale Convective System (MCS) terhadap kejadian gelombang badai dan potensi banjir pesisir (rob) di Kepulauan Tanimbar selama tahun 2017 ? 2018 dengan menggunakan gabungan model Coupled Ocean-Atmosphere Mesoscale Prediction System (COAWST) dan Advanced Circulation Model (ADCIRC) dengan tujuan untuk pengembangan sistem peringatan dini wilayah pelabuhan dan pesisir. Konsep model COAWST-ADCIRC dikopling secara langsung dengan OASIS3-MCT untuk parameter SST, spektrum gelombang laut dangkal dan sirkulasi angin. Respon kecepatan angin menunjukkan peningkatan sebesar 3.0 m/s ? 4.5 m/s dan energi gelombang laut meningkat hingga 0.4 ? 0.6 meter serta level kenaikan air laut meningkat 0.3 meter. Verifikasi lanjutan dilakukan dengan data observasi pasang surut pola konstituens semi-diurnal dan citra satelit altimetri Jason 3, serta investigasi terhadap uji kualitas hasil model menggunakan pendekatan EnKF untuk mengetahui akurasi prediksi pola gelombang laut dangkal dan daerah terdampak inundasi.]]>
<![CDATA[KAJIAN AWAL SIMULASI BANJIR DI BENGAWAN SOLO BERBASIS DATA GSMaP DAN MODEL CUACA NUMERIK: (Studi Kasus Banjir Bengawan Solo 05 – 07 Maret 2019) ]]>
<![CDATA[Aries Kristianto]]>;
<![CDATA[Putri, Deffi Munadiyat]]>
<![CDATA[ Jurnal Meteorologi Klimatologi dan Geofisika Vol 6 No 3 (2019): Jurnal Meteorologi Klimatologi dan Geofisika ]]>
Publisher : <![CDATA[Unit Penelitian dan Pengabdian Masyarakat Sekolah Tinggi Meteorologi Klimatologi dan Geofisika ]]>
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DOI: 10.36754/jmkg.v6i3.127
<![CDATA[ABSTRACT Flood prediction and warning systems are important processes that can provide notification to relevant authorities and the general public. Floods hit a number of areas such as Madiun, Ngawi, Ponorogo and Bojonegoro and causes various losses in early March 2019. The purpose of this study is to simulate discharges during floods from 05 until 07 March 2019. IFAS as a rainfall-runoff modelling analysis using GSMaP as default data for simulation. This study uses numerical weather prediction which are, ERA-Interim and FNL data as rainfall input data. The numerical weather data model is downscaled before the simulation process is carried out. The simulation is reviewed at two discharge observation offices which are Ketonggo and Ahmad Yani. Simulation results show that the increasing in water discharge occurs when rain falls both at the observation point and in the upstream area. The time needed to reach the discharge peak in the downstream area towards the peak of the upstream rain is 6 hours. Verification of GSMaP simulation discharges and numerical weather models on observational discharge data shows that the numerical weather model is able to represent the observation discharge, especially after the raising limb process is complete. Keywords: IFAS, GSMaP, Hydrograph, FNL, ERA-Interim]]>
<![CDATA[ESTIMASI KONSENTRASI NO2 PERMUKAAN DARI TOTAL COLUMN NO2 SATELIT AURA-OMI DI CISARUA PERIODE 2017-2018 ]]>
<![CDATA[Dewi Tamara Qothrunada]]>;
<![CDATA[Virgianto, Rista Hernandi]]>;
<![CDATA[Nugroho Dion Koestantio]]>;
<![CDATA[Siti Najma Nindya Utami]]>;
<![CDATA[Dhiyaul Qalbi Syofyan]]>;
<![CDATA[Hendri Satria WD]]>
<![CDATA[ Jurnal Meteorologi Klimatologi dan Geofisika Vol 6 No 3 (2019): Jurnal Meteorologi Klimatologi dan Geofisika ]]>
Publisher : <![CDATA[Unit Penelitian dan Pengabdian Masyarakat Sekolah Tinggi Meteorologi Klimatologi dan Geofisika ]]>
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DOI: 10.36754/jmkg.v6i3.136
<![CDATA[ABSTRACT AURA / OMI satellite data with a spatial resolution of 0.25 ÌŠ x 0.25 ÌŠ can be used to determine the concentration of pollutants in areas that have not been observed, one of them is NO2. NO2 total column concentrations derived from AURA / OMI satellite represent the density of pollutants vertically from the surface to the height of the troposphere, so it is necessary to calculate and estimate NO2 concentrations on the surface. The purpose of this study was to validate the surface NO2 concentrations estimation with the surface observation data at the Atmospheric Monitoring Post in Cisarua from January 2017 to December 2018. Estimation of surface NO2 concentration using AURA / OMI satellite was calculated by including vertical column density from CAMs model. The validation method used are correlation with significance test and error analysis using Root Mean Square Error (RMSE). Based on the calculation, the highest correlation coefficient obtained is 0.31 in March-April-May with significant test in the annual period and the March-April-May period. Error analysis results showed the lowest error value is in September-October-November while the highest value is in December-January-February. Keywords: NO2, AURA / OMI, CAMs, total column, estimation]]>
<![CDATA[PEMANFAATAN MODEL WRF-CHEM DALAM ANALISIS SEBARAN ABU VULKANIK GUNUNG MERAPI (ERUPSI TANGGAL 23 MARET 2020) ]]>
<![CDATA[Yudistira, Ricko]]>;
<![CDATA[Indah Sary]]>;
<![CDATA[Agung Hari Saputra]]>
<![CDATA[ Jurnal Meteorologi Klimatologi dan Geofisika Vol 6 No 3 (2019): Jurnal Meteorologi Klimatologi dan Geofisika ]]>
Publisher : <![CDATA[Unit Penelitian dan Pengabdian Masyarakat Sekolah Tinggi Meteorologi Klimatologi dan Geofisika ]]>
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DOI: 10.36754/jmkg.v6i3.137
<![CDATA[Volcanic ash is the result of fusion on mountain released into the atmosphere. Volcanic ash has dangerous impact for several sectors as health, agriculture, until flight safety. Therefore, it is important to forecast the direction of volcanic ash distribution to reduce disadvantage caused by volcanic ash. One of the way to forecast volcanic ash is to use the WRF-Chem model. The WRF-Chem model is a numerical weather forecast model with chemistry parameter elements so that it can predict the direction of volcanic ash distribution. On March 27, 2020, Mount Merapi had an eruption which caused volcanic ash to reach a height of about 5000 meters from the crater of the mountain. The results of the WRF-Chem model show the distribution direction of each size and concentration of volcanic ash from the 700mb to 300mb levels. The model results show that the volcanic ash distribution of each levels moves to the Southwest in accordance with the advisory data released by VAAC Darwin. However, the results of the model have a time delay in the distribution of volcanic ash]]>
<![CDATA[ANALISIS DAMPAK DITERAPKANNYA KEBIJAKAN WORKING FROM HOME SAAT PANDEMI COVID-19 TERHADAP KONDISI KUALITAS UDARA DI JAKARTA ]]>
<![CDATA[Umara Firman Rizi D]]>;
<![CDATA[Suradi]]>;
<![CDATA[Sunaryo]]>;
<![CDATA[Andriyani Agus]]>;
<![CDATA[Mizani Ahmad]]>;
<![CDATA[Sheila Dewi Ayu Kusumaningtyas]]>;
<![CDATA[Hanifah Nurhayati]]>;
<![CDATA[Aulia Nisa’ul Khoir]]>;
<![CDATA[Cici Sucianingsih]]>;
<![CDATA[Nur Faris Prih W]]>
<![CDATA[ Jurnal Meteorologi Klimatologi dan Geofisika Vol 6 No 3 (2019): Jurnal Meteorologi Klimatologi dan Geofisika ]]>
Publisher : <![CDATA[Unit Penelitian dan Pengabdian Masyarakat Sekolah Tinggi Meteorologi Klimatologi dan Geofisika ]]>
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DOI: 10.36754/jmkg.v6i3.141
<![CDATA[The purpose of this study is to examine the effect of the implementation of policies on reducing human activity regarding the covid-19 outbreak to the concentration of air pollution in March 2020 in the Jakarta area using a comparison of the time series of PM10 and PM2.5 hourly calculations calculated to be the daily average in March by applying the Pearson correlation equation and scatter diagram to obtain a pattern of relationships in the form of positive, negative or non-linear and the degree of weak, strong or perfect relationship between variables. The main contributions of this research are as follows: Evaluation of the significance of the decrease in the concentration value of the average PM10 and PM2.5 in March 2020 with a correlation to March variables in the previous year based on the acquisition of qualitative results in the form of a graph of the trend of decreasing PM10 and PM2.5 in March 2020 compared to March of the previous year and quantitative in the form of a negative correlation with the Pearson moment and scatter diagram showing a decrease in March 2020 compared to March of the previous year so that the policy of reducing human activity in a response to the Covid-19 pandemic has an impact on a better air quality condition in Jakarta.]]>
<![CDATA[PEMANFAATAN INFORMASI BAHAYA PETIR SEBAGAI FUNGSI PROTEKSI SUMBER DAYA NASIONAL ]]>
<![CDATA[Sandi, Andi Windra]]>;
<![CDATA[Admiral Musa Julius]]>;
<![CDATA[I Dewa Ketut Kerta Widana]]>;
<![CDATA[Maryanti]]>;
<![CDATA[Andi Ahmad Aminullah]]>
<![CDATA[ Jurnal Meteorologi Klimatologi dan Geofisika Vol 6 No 3 (2019): Jurnal Meteorologi Klimatologi dan Geofisika ]]>
Publisher : <![CDATA[Unit Penelitian dan Pengabdian Masyarakat Sekolah Tinggi Meteorologi Klimatologi dan Geofisika ]]>
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DOI: 10.36754/jmkg.v6i3.142
<![CDATA[Indonesia is a tropical country and an archipelago that has two seasons namely dry and rainy. In the rainy season often a lightning phenomenon that can endanger national resources. This condition needs to be minimized by the presence of lightning hazard information. This study aims to determine the lightning hazard information display. Service lightning BMKG information in this article shows that at certain times the lightning spread very evenly in the region of South Sumatra and Java. Service lightning hazard information is very useful to support the protection functions of national resources.]]>
<![CDATA[PENGARUH ASIMILASI DATA GPS RADIO OCCULTATION REFRACTIVITY DENGAN WRF 3DVAR DALAM PREDIKSI KEJADIAN HUJAN LEBAT DI WILAYAH SAMARINDA ]]>
<![CDATA[Faizal Wempy]]>;
<![CDATA[Fadlan, Ahmad]]>
<![CDATA[ Jurnal Meteorologi Klimatologi dan Geofisika Vol 6 No 3 (2019): Jurnal Meteorologi Klimatologi dan Geofisika ]]>
Publisher : <![CDATA[Unit Penelitian dan Pengabdian Masyarakat Sekolah Tinggi Meteorologi Klimatologi dan Geofisika ]]>
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DOI: 10.36754/jmkg.v6i3.143
<![CDATA[There were two cases of heavy rainfall that occurred at Samarinda on 27 and 28 November 2016 with the accumulation of rainfall recorded at Temindung-Samarinda Meteorological Station were 73,7 mm/day and 72,6 mm/day. One of the ways to improve the prediction accuracy level given by performing the data assimilation to improve the initial conditions of the model. This research used Final Analysis (FNL) data, Global Forecast System (GFS) data, synoptic observation data, and Global Positioning System Radio Occultation (GPS-RO) Refractivity, where the GPS data will be assimilated into the WRF-ARW through WRF 3DVAR technique. Besides that, this research is also applying the spin-up model procedure with warm start mode which is accompanied by a rapid update cycle forecast in order to know the performance of WRF-ARW in predicting heavy rainfall phenomenon. The result of this research shows that applying the data assimilation procedure of the GPS-RO Refractivity which goes into WRF-ARW model can increase the predictions accurate level of heavy rainfall phenomenon which is occurred at that time. As for the high and low of the prediction, the result is affected by the length of time span prediction of the rain phenomenon. The length of time span prediction of the rain phenomenon, the better the rain prediction result generated by using WRF-ARW model.]]>
<![CDATA[ANALISIS ANOMALI POLA CURAH HUJAN BULANAN TAHUN 2019 TERHADAP NORMAL CURAH HUJAN (30 TAHUN) DI KOTA MANADO DAN SEKITARNYA ]]>
<![CDATA[Molle, Ben Arther]]>;
<![CDATA[Larasati, Anggi Ferina]]>
<![CDATA[ Jurnal Meteorologi Klimatologi dan Geofisika Vol 7 No 1 (2020): Jurnal Meteorologi Klimatologi dan Geofisika ]]>
Publisher : <![CDATA[Unit Penelitian dan Pengabdian Masyarakat Sekolah Tinggi Meteorologi Klimatologi dan Geofisika ]]>
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DOI: 10.36754/jmkg.v7i1.181
<![CDATA[Tahun 2019, Kota Manado dan sekitarnya mengalami pola iklim yang berbeda yaitu perbedaan pola curah hujan (CH) bulanan tahun 2019 terhadap normalnya yang secara langsung mempengaruhi aktifitas kehidupan masyarakat. Penelitian ini bertujuan untuk (1) mengetahui perbedaan pola CH bulanan tahun 2019 terhadap normalnya selama 30 tahun dan (2) menganalisis penyebab anomali pola CH bulanan tahun 2019 terhadap normalnya selama 30 tahun di Kota Manado dan sekitarnya. Penelitian ini menggunakan data observasi CH harian yang terekam di Stasiun Meteorologi Sam Ratulangi Manado tahun 2019 dengan data normal CH selama 30 tahun (tahun 1987-2016). Analisis dilakukan dengan membandingkan grafik rata-rata CH bulanan tahun 2019 terhadap normalnya kemudian menganalisis penyebab anomali pola CH tiap bulan. Hasil penelitian menunjukan bahwa pola CH tahun 2019 sangat berbeda jika dibandingkan dengan normalnya yang memiliki pola CH tipe monsunal. Faktor-faktor yang mempengaruhi anomali CH di Kota Manado dan sekitarnya pada tahun 2019 yaitu dikarenakan oleh El Nino lemah, pengaruh Madden Jullian Oscillation, fluktuasi angin monsun Asia dan Australia, siklon tropis, dan IOD bernilai positif kuat. Anomali pola curah hujan paling ekstrim yaitu terjadi pada bulan April dengan sifat hujan atas normal mencapai 483.3 mm dan bulan Agustus dengan sifat hujan bawah normal mencapai < 0.1 mm]]>
<![CDATA[AKTIVITAS SUNSPOT MATAHARI DAN PENGARUHNYA TERHADAP CURAH HUJAN (STUDI KASUS DI PONTIANAK) ]]>
<![CDATA[Laily Fajarwati]]>;
<![CDATA[Sigit Nugroho]]>
<![CDATA[ Jurnal Meteorologi Klimatologi dan Geofisika Vol 7 No 2 (2020): Jurnal Meteorologi Klimatologi dan Geofisika ]]>
Publisher : <![CDATA[Unit Penelitian dan Pengabdian Masyarakat Sekolah Tinggi Meteorologi Klimatologi dan Geofisika ]]>
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DOI: 10.36754/jmkg.v7i2.191
<![CDATA[The climate on earth is strongly influenced by the energy of the sun that reaches earth. The amount of solar radiation which received by the earth is changing based on the rotation of the earth. The sunspot, one of the solar activities, is observed by Balai Pengamatan Antariksa dan Atmosfer Pasuruan. Sunspot is caused by the magnetic activity that inhibited the convection and created the colder temperatures of regions. Sunspots looks like a black spot in the disk of the sun. In addition to solar activity, the Earth's atmosphere is also influenced by the presence of Galactic Cosmic Ray, which is the particles that comes from the outer space and its energy can reach the earth. The number of sunspots (SSN) and Galactic Cosmic Ray (GCR) are two research objects that are related to one another. This research discusses the correlation between SSN and rainfall. The linear regression method which used to test the correlation between the sunspot activity and the rainfall in cycle 24 shows the number of r as 0,037551.]]>
<![CDATA[PREDIKSI CURAH HUJAN BULANAN DI DELI SERDANG MENGGUNAKAN PERSAMAAN REGRESI DENGAN PREDIKTOR DATA SUHU DAN KELEMBAPAN UDARA ]]>
<![CDATA[Saragih, Immanuel Jhonson Arizona]]>;
<![CDATA[Inlim Rumahorbo]]>;
<![CDATA[Ricko Yudistira]]>;
<![CDATA[Dedi Sucahyono]]>
<![CDATA[ Jurnal Meteorologi Klimatologi dan Geofisika Vol 7 No 2 (2020): Jurnal Meteorologi Klimatologi dan Geofisika ]]>
Publisher : <![CDATA[Unit Penelitian dan Pengabdian Masyarakat Sekolah Tinggi Meteorologi Klimatologi dan Geofisika ]]>
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DOI: 10.36754/jmkg.v7i2.192
<![CDATA[A simulation of monthly rainfall prediction (RR) using a regression equation with a predictor of air temperature (T) and humidity (RH) has been tried at Deli Serdang Climatology Station, North Sumatra. The RR, T and RH data for 30 years (1989-2018) were obtained from the Deli Serdang Climatology Station. This prediction simulation for total monthly rainfall uses simple linear regression and multiple linear regression. Evaluation is done by comparing and calculating the Pearson correlation value and the deviation of the predicted total monthly rainfall against the actual total rainfall. The results of data processing showed that the simulation of the total monthly rainfall forecast for 2019 in the Deli Serdang area obtained a correlation value of r = 0,72 and an average of RMSE = 77,42 mm / month using air temperature predictors, obtained correlation values r = 0,73 and RMSE = 77,13 mm / month using the air humidity predictor, and the correlation value r = 0,70 with RMSE = 80,53 mm / month using a predictor of air temperature and air humidity as well.]]>
