Yosafat Donni Haryanto, Nelly Florida Riama, D. Purnama
The effect of solar activity on weather and climate has become a research topic after the 11-years sunspot cycle was discovered. This research is aimed to find the effect of sunspots on the variations of air temperature and relative humidity (RH) in Medan City. This research used the daily average of air temperature and RH data from 1985 – 2014 at Kualanamu Meteorological Station which was obtained from BMKG. Meanwhile, the daily sunspot number data within the same year period was obtained from the Solar Influences Data Analysis Center (SIDC) The Royal Observatory of Belgium (RWC). The method that was used in this study is a statistical method. The results of the study show that the coefficient of determination R² between the sunspot number and the parameters of air temperature and RH are 0.9 and 2.2, respectively. Meanwhile, the correlation coefficient between sunspot number and the parameters of air temperature and RH is -0.058 and 0.038, respectively. All variables showed p-value <0.05 which means statistically significant. Thus, the increase in the number of sunspots has significant effects on decreasing air temperature and increasing RH in Medan City.
{"title":"PENGARUH FENOMENA SUNSPOT TERHADAP VARIASI SUHU UDARA DAN KELEMBAPAN RELATIF DI KOTA MEDAN","authors":"Yosafat Donni Haryanto, Nelly Florida Riama, D. Purnama","doi":"10.31172/jmg.v23i2.781","DOIUrl":"https://doi.org/10.31172/jmg.v23i2.781","url":null,"abstract":"The effect of solar activity on weather and climate has become a research topic after the 11-years sunspot cycle was discovered. This research is aimed to find the effect of sunspots on the variations of air temperature and relative humidity (RH) in Medan City. This research used the daily average of air temperature and RH data from 1985 – 2014 at Kualanamu Meteorological Station which was obtained from BMKG. Meanwhile, the daily sunspot number data within the same year period was obtained from the Solar Influences Data Analysis Center (SIDC) The Royal Observatory of Belgium (RWC). The method that was used in this study is a statistical method. The results of the study show that the coefficient of determination R² between the sunspot number and the parameters of air temperature and RH are 0.9 and 2.2, respectively. Meanwhile, the correlation coefficient between sunspot number and the parameters of air temperature and RH is -0.058 and 0.038, respectively. All variables showed p-value <0.05 which means statistically significant. Thus, the increase in the number of sunspots has significant effects on decreasing air temperature and increasing RH in Medan City.","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91337820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analisa sistem komunikasi data berbasis Internet of Things (IoT) menggunakan metode PIECES pada Sistem Pengamatan Cuaca Otomatis di Badan Meteorologi Klimatologi dan Geofisika (BMKG)","authors":"Ariffudin Ariffudin, Purnawarman Musa","doi":"10.31172/jmg.v23i2.831","DOIUrl":"https://doi.org/10.31172/jmg.v23i2.831","url":null,"abstract":"","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":"86 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88045021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analisis spektral data curah hujan dan kejadian curah hujan ekstrim di wilayah Kota Jayapura","authors":"Noper Tulak, Yusuf Bungkang, Herlambang Huda","doi":"10.31172/jmg.v23i1.653","DOIUrl":"https://doi.org/10.31172/jmg.v23i1.653","url":null,"abstract":"","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82070113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimasi Suhu Udara Di Kabupaten Manokwari Melalui Pemanfaatan Citra Satelit Landsat 8","authors":"M. Mashudi, Arif Faisol","doi":"10.31172/jmg.v23i1.753","DOIUrl":"https://doi.org/10.31172/jmg.v23i1.753","url":null,"abstract":"","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":"11638 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88274938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RELOKASI GEMPABUMI MENGGUNAKAN METODE TELESEISMIK DOUBLE DIFFERENCE DI WILAYAH JAWA","authors":"T. A. P. Setiadi","doi":"10.31172/jmg.v23i1.842","DOIUrl":"https://doi.org/10.31172/jmg.v23i1.842","url":null,"abstract":"","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90616152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wilin Julian Sari, D. F. Andarini, F. 'Adany, Waluyo Eko Cahyono
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.
{"title":"ANALYSIS OF SURFACE CONCENTRATION OF BLACK CARBON IN RIAU PROVINCE DURING THE 2019 FOREST FIRES USING MERRA-2 REANALYSIS DATA","authors":"Wilin Julian Sari, D. F. Andarini, F. 'Adany, Waluyo Eko Cahyono","doi":"10.31172/jmg.v23i1.800","DOIUrl":"https://doi.org/10.31172/jmg.v23i1.800","url":null,"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.","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":"313 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74403627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pemodelan Bahaya Tsunami dan Evaluasi Strategi Evakuasi di Tanjung Benoa Bali untuk mendukung upaya Safe-Tourism Bali Kembali","authors":"Nuraini Rahma Hanifa, Endra Gunawan","doi":"10.31172/jmg.v23i1.837","DOIUrl":"https://doi.org/10.31172/jmg.v23i1.837","url":null,"abstract":"","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88818845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"PARAMETER TROPOSFER DAN TROPOPAUSE DI KOTOTABANG DAN HUBUNGANNYA DENGAN PROSES PENJALARAN GELOMBANG PANJANG","authors":"Ina Juaeni","doi":"10.31172/jmg.v23i1.657","DOIUrl":"https://doi.org/10.31172/jmg.v23i1.657","url":null,"abstract":"","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83194200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Digital Elevation Model (DEM) is the starting point in the analysis performed to explain the deformation pattern changes from the Earth's surface. The estimated value of deformation based on point-wise GPS and InSAR data with a better spatial resolution must be defined in a reference frame system that reflects the phenomenon of deformation of the real physical world, e.g., orthometric height for the vertical component. Therefore, this study aims to provide alternative DEM models based on a suitable combination between the Global Geopotential Model of Earth Geopotential Model 2008 (EGM2008) and global terrain models, providing position changes with respect to the orthometric height. The alternative DEM models are (i) the global elevation model of ETOPO1 (DEM1), (ii) the modified global elevation model of SRTM30_PLUS (DEM2), and (iii) the regional elevation model of DEMNAS (DEM3). These alternative models comply with each other for the land areas with mean difference values lower than 1 meter. While for the ocean areas, we found that DEM1 and DEM2 have apparent differences due to the different types of data used. However, a similar assessment could not be performed for DEM3 as it only covers the land areas. Additionally, we compared the orthometric height from these terrain models with leveling observations for the coinciding locations. DEM3 achieves the highest accuracy with the estimated standard deviation of 11.2745 meters and is followed by DEM2 and DEM1 with the respective standard deviation of 29.4498 and 37.6872 meters. We found that these models can be used as a starting position determination for horizontal and vertical deformation analysis.
数字高程模型(DEM)是解释地球表面变形模式变化分析的起点。基于点向GPS和InSAR数据的更好空间分辨率的变形估计值必须在反映真实物理世界的变形现象的参考系系统中定义,例如垂直分量的正交高度。因此,本研究旨在提供基于Global gepotential Model of Earth gepotential Model 2008 (EGM2008)和全球地形模型之间的合适组合的替代DEM模型,提供相对于正测高度的位置变化。可供选择的DEM模型有:(i) ETOPO1的全球高程模型(DEM1), (ii) SRTM30_PLUS的修正全球高程模型(DEM2), (iii) DEMNAS的区域高程模型(DEM3)。对于平均差值小于1 m的陆地区域,这些备选模型相互符合。而对于海洋区域,由于使用的数据类型不同,我们发现DEM1和DEM2有明显的差异。但是,DEM3无法进行类似的评估,因为它只涵盖陆地区域。此外,我们将这些地形模型的正交高度与重合地点的水准观测结果进行了比较。DEM3精度最高,估计标准差为11.2745 m,其次是DEM2和DEM1,标准差分别为29.4498和37.6872 m。我们发现这些模型可以作为水平和垂直变形分析的起始位置确定。
{"title":"DIGITAL ELEVATION MODEL ALTERNATIVES ASSESSMENT FOR DEFORMATION ANALYSIS PURPOSES USING GNSS AND INSAR","authors":"D. Sarsito, B. Bramanto","doi":"10.31172/jmg.v23i1.845","DOIUrl":"https://doi.org/10.31172/jmg.v23i1.845","url":null,"abstract":"Digital Elevation Model (DEM) is the starting point in the analysis performed to explain the deformation pattern changes from the Earth's surface. The estimated value of deformation based on point-wise GPS and InSAR data with a better spatial resolution must be defined in a reference frame system that reflects the phenomenon of deformation of the real physical world, e.g., orthometric height for the vertical component. Therefore, this study aims to provide alternative DEM models based on a suitable combination between the Global Geopotential Model of Earth Geopotential Model 2008 (EGM2008) and global terrain models, providing position changes with respect to the orthometric height. The alternative DEM models are (i) the global elevation model of ETOPO1 (DEM1), (ii) the modified global elevation model of SRTM30_PLUS (DEM2), and (iii) the regional elevation model of DEMNAS (DEM3). These alternative models comply with each other for the land areas with mean difference values lower than 1 meter. While for the ocean areas, we found that DEM1 and DEM2 have apparent differences due to the different types of data used. However, a similar assessment could not be performed for DEM3 as it only covers the land areas. Additionally, we compared the orthometric height from these terrain models with leveling observations for the coinciding locations. DEM3 achieves the highest accuracy with the estimated standard deviation of 11.2745 meters and is followed by DEM2 and DEM1 with the respective standard deviation of 29.4498 and 37.6872 meters. We found that these models can be used as a starting position determination for horizontal and vertical deformation analysis.","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":"54 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88508222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Lubis, M. Mawaddah, Afrizal B., Halauddin Halauddin, Zainal Abidin
Telah dilakukan kajian frekuensi kritis (foF2) lapisan F ionosfer untuk mencari apakah perubahan/anomali foF2 pada lapisan ini berhubungan dengan kejadian gempa bumi di segment Mentawai Sumatera Barat sehingga dapat digunakan sebagai prekusor gempa bumi dalam order harian. Untuk itu data ionogram pada waktu 2005-2015 yang merupakan hasil pengamatan ionosonda tipe Frequency Modulation Continous Wave (FMCW) di stasiun Kototabang, Kabupaten Agam, Sumatra barat, kemudian data aktivitas geomagnetik melalui indeks Disturbance Storm Time Index (DST) dan data aktivitas matahari (sunspot number) telah digunakan. Sementara itu sebanyak 37 kejadian data gempa bumi (Mw > 5,5) di wilayah Mentawai yang berasal dari USGS digunakan untuk mengkaji anomali foF2 terhadap kejadian gempa bumi selama 14 hari sebelum gempa bumi terjadi. Hasil pengamatan secara umum memperlihatkan terdapat anomali foF2 pada selang 14 hari sebelum terjadinya gempa bumi. Kemunculan foF2 tersebut dapat diduga sebagai indikasi sebagai aktivitas pre-seismic dalam kulit bumi pada 37 kejadian gempa bumi di wilayah Mentawai, meskipun kadang-kadang aktivitas geomagnet dan aktivitas matahari terlihat berpengaruh anomali foF2. Oleh karena itu diperlukan kajian lanjutan untuk menguji korelasi antara anomali foF2 dan kejadian gempa bumi secara statistik.
{"title":"STUDI FREKUENSI KRITIS (foF2) PADA LAPISAN IONOSFER YANG BERHUBUNGAN DENGAN KEJADIAN GEMPA BUMI DI SEGMEN MENTAWAI TAHUN 2010-2015","authors":"A. Lubis, M. Mawaddah, Afrizal B., Halauddin Halauddin, Zainal Abidin","doi":"10.31172/jmg.v22i2.717","DOIUrl":"https://doi.org/10.31172/jmg.v22i2.717","url":null,"abstract":"Telah dilakukan kajian frekuensi kritis (foF2) lapisan F ionosfer untuk mencari apakah perubahan/anomali foF2 pada lapisan ini berhubungan dengan kejadian gempa bumi di segment Mentawai Sumatera Barat sehingga dapat digunakan sebagai prekusor gempa bumi dalam order harian. Untuk itu data ionogram pada waktu 2005-2015 yang merupakan hasil pengamatan ionosonda tipe Frequency Modulation Continous Wave (FMCW) di stasiun Kototabang, Kabupaten Agam, Sumatra barat, kemudian data aktivitas geomagnetik melalui indeks Disturbance Storm Time Index (DST) dan data aktivitas matahari (sunspot number) telah digunakan. Sementara itu sebanyak 37 kejadian data gempa bumi (Mw > 5,5) di wilayah Mentawai yang berasal dari USGS digunakan untuk mengkaji anomali foF2 terhadap kejadian gempa bumi selama 14 hari sebelum gempa bumi terjadi. Hasil pengamatan secara umum memperlihatkan terdapat anomali foF2 pada selang 14 hari sebelum terjadinya gempa bumi. Kemunculan foF2 tersebut dapat diduga sebagai indikasi sebagai aktivitas pre-seismic dalam kulit bumi pada 37 kejadian gempa bumi di wilayah Mentawai, meskipun kadang-kadang aktivitas geomagnet dan aktivitas matahari terlihat berpengaruh anomali foF2. Oleh karena itu diperlukan kajian lanjutan untuk menguji korelasi antara anomali foF2 dan kejadian gempa bumi secara statistik.","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":"103 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80304717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}