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All Journal SAINSMAT Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Jurnal Fisika dan Terapannya SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian
Mashuri, Imawan
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Education Mathematics Physics Other

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Topography Effects on Rainfall Characteristics in Bandung City and Cilacap Regency for the 2016-2020 Period Afghani, Fadhli Aslama; Mashuri, Imawan; Khirtin, Ramadoni; Cahyo, Muhammad Adi
Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Vol. 20 No. 2 (2023): Sainmatika : Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/sainmatika.v20i2.11898

Abstract

Topography and rainfall correlate with each other. Therefore, this study aims to determine the effect of topography on rainfall characteristicss in the Cilacap and Bandung areas. The research method used is a descriptive statistical analysis of average monthly, seasonal, and annual rainfall. In addition, time series and regression tests were carried out using the SPSS application. The data used is the daily rainfall data period of 2016–2020. The results of the descriptive analysis show that the variability of monthly rainfall in Bandung is higher than in Cilacap, with a value range that is 113.6–643.82 mm/month for Bandung and 92.1-355.56 mm/month for Cilacap. Global climate dynamics for instance apparent sun motion, Monsoon, ITCZ, ENSO, and IOD, as well as local weather systems like valley winds, also affect seasonal and annual rainfall variability in Bandung and Cilacap. The rainfall time series test produces values that are not stationary concerning the variance but stationary concerning the average. A simple linear regression test shows the effect of a topography of 55.2% on rainfall. The purpose of simple linear regression is to understand and model the relationship between two variables: the independent variable (topography) and the dependent variable (rainfall characteristics).
Long-Term Changes In Rainfall Under Climate Change In East Nusa Tenggara Province 1971-2020 Wibowo, Ofana Tri; Afghani, Fadhli Aslama; Mashuri, Imawan; Asifin, Hasyid Agha Zuhairul
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat132569172024

Abstract

The current climate change is when the Earth's temperature increases due to increased greenhouse gas concentrations. The increase in greenhouse gasses has the potential to change the global climate system, one of which can impact changes in rainfall patterns. As a result, changes occur in various aspects of the planet, especially the atmosphere's composition, which can affect life on Earth. This study aims to analyze the characteristics of rainfall changes in East Nusa Tenggara Province during the 1971-2020 period. The data used is ERA5 reanalysis data in the form of daily rainfall with a spatial resolution of 0.25° X 0.25° for 50 years in East Nusa Tenggara Province for the period 1971-2020. The results of the analysis show that rainfall in East Nusa Tenggara Province has decreased from 1971-2020, with monthly and seasonal averages per period. The highest average monthly rainfall occurred in period 1 (1971-2000), with an average value of 137,491 mm, while the lowest value occurred in period 3 (1991-2020), with an average value of 125,242 mm. The highest average seasonal rainfall occurred in period 1 (1971-2000) of the DJF season, with an average of 757.19 mm, while the lowest value occurred in period 3 (1991-2020) of the SON season, with an average of 143.69 mm.
Long-Term Changes In Rainfall Under Climate Change In East Nusa Tenggara Province 1971-2020 Wibowo, Ofana Tri; Afghani, Fadhli Aslama; Mashuri, Imawan; Asifin, Hasyid Agha Zuhairul
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat132569172024

Abstract

The current climate change is when the Earth's temperature increases due to increased greenhouse gas concentrations. The increase in greenhouse gasses has the potential to change the global climate system, one of which can impact changes in rainfall patterns. As a result, changes occur in various aspects of the planet, especially the atmosphere's composition, which can affect life on Earth. This study aims to analyze the characteristics of rainfall changes in East Nusa Tenggara Province during the 1971-2020 period. The data used is ERA5 reanalysis data in the form of daily rainfall with a spatial resolution of 0.25° X 0.25° for 50 years in East Nusa Tenggara Province for the period 1971-2020. The results of the analysis show that rainfall in East Nusa Tenggara Province has decreased from 1971-2020, with monthly and seasonal averages per period. The highest average monthly rainfall occurred in period 1 (1971-2000), with an average value of 137,491 mm, while the lowest value occurred in period 3 (1991-2020), with an average value of 125,242 mm. The highest average seasonal rainfall occurred in period 1 (1971-2000) of the DJF season, with an average of 757.19 mm, while the lowest value occurred in period 3 (1991-2020) of the SON season, with an average of 143.69 mm.
Temporal Analysis of Rainfall Characteristics in Response to Climate Change in the Special Region of Yogyakarta Province Mashuri, Imawan; Fadhli Aslama Afghani; Ofana Tri Wibowo
JFT : Jurnal Fisika dan Terapannya Vol 11 No 2 (2024): DESEMBER
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v11i2.43707

Abstract

Climate change has resulted in uneven rainfall variations. The temporal analysis of rainfall in the Special Region of Yogyakarta Province was conducted through the calculation of monthly averages, seasonal averages, and annual trends using the Climate Data Operator (CDO) and Microsoft Excel application over 60 years from 1961 to 2020, utilizing ERA5 data. The time frame is divided into two periods: 1961-1990 and 1991-2020, aiming to observe rainfall characteristics such as changes, patterns, and trends that occurred during these intervals. The highest monthly average rainfall occurs in January for both periods, registering 378 mm for 1961-1990 and 370 mm for 1990-2020. In contrast, the lowest monthly average occurs in August, with values of 51 mm for 1961-1990 and 38 mm for 1991-2020. The highest seasonal average rainfall occurs during the DJF period, with values of 945 mm for 1961-1990 and 1022 mm for 1991-2020. However, the lowest seasonal average occurs during the JJA period, with values of 228 mm for 1961-1990 and 191 mm for 1991-2020. The rainfall trend shows an increase for the first period (1961-1990), whereas decreases in the second period (1991-2020), including wet seasons, dry seasons, and annual. The result can be associated with climate change, where there are occurrences of extremely wet and extremely dry seasons. Overall, the Special Region of Yogyakarta province experienced continuous yearly rainfall from 1961 to 2020.
The Analysis of Hail Based on Atmospheric Conditions and Himawari-9 Satellite: Case Study of Surabaya City, March 20, 2023 Mashuri, Imawan; Amri, Sayful; Aslama Afghani, Fadhli; Muhammad Aslam, Fadhil
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol. 22 No. 1 (2025): Volume 22 No 1, June 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v22i1.21942

Abstract

Hail is a rare extreme weather phenomenon in Indonesia. On March 20, 2023, hail occurred in Surabaya City. The research was conducted to analyze the hail based on atmospheric conditions and the Himawari-9 satellite. Analysis of the global scale showed anomalies in sea surface temperature in the Southeast Indian Ocean. Regionally, a monsoon shear line and significant low-level moisture transport from the South Java Sea caused convergence in the Surabaya. Locally, there was a significant increase in relative humidity by 10%, and a surface temperature decrease of 3.2°C resulted in wetter surface weather. The occurrence of hail was also supported by upper air conditions, with four indices (CAPE, LI, TT, and SWEAT) falling within the moderate category. In contrast, CIN was categorized as low, while KI increased from moderate to high. A moderate CAPE index in the mid-level updraft of moist air resulted in the maximum hail size. Clouds reached the freezing level in the mid-level atmosphere at 5048 meters and 4776 meters. The RGB Day Microphysics technique using Himawari-9 satellite imagery identified overshooting tops and a drastic decrease in top cloud temperature reaching -82.5°C, indicating the presence of a strong updraft and the formation of convective clouds that surpassed the freezing level.
Co-Authors Afghani, Fadhli Aslama Amri, Sayful Asifin, Hasyid Agha Zuhairul Aslama Afghani, Fadhli Cahyo, Muhammad Adi Fadhli Aslama Afghani Khirtin, Ramadoni Muhammad Aslam, Fadhil Ofana Tri Wibowo Wibowo, Ofana Tri