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All Journal Jurnal Dinamis Jurnal Penelitian Fisika dan Aplikasinya (JPFA) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Fisika Unand Emerging Science Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Hilirisasi IPTEKS (JHI) Jurnal Ilmu Fisika INTEGRITAS : Jurnal Pengabdian BERNAS: Jurnal Pengabdian Kepada Masyarakat Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Makara Journal of Science Indonesian Journal of Community Empowerment and Service
Mutya Vonnisa
Jurusan Fisika Universitas Andalas
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Journal : Emerging Science Journal

 1 
Retrieval of Vertical Structure of Raindrop Size Distribution from Equatorial Atmosphere Radar and Boundary Layer Radar Mutya Vonnisa; Toyoshi Shimomai; Hiroyuki Hashiguchi; Marzuki Marzuki
Emerging Science Journal Vol 6, No 3 (2022): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-03-02

Abstract

This work develops an algorithm to retrieve the vertical structure of the raindrop size distribution (DSD) of rain from simultaneous observations of 47 MHz Equatorial Atmosphere Radar (EAR) and 1.3 GHz Boundary Layer Radar (BLR) at Koto Tabang, West Sumatra, Indonesia (0.20°S, 100.32°E, 865 m above sea level). EAR is sensitive to the detection of turbulence, and BLR is susceptible to identifying precipitation echo. The EAR Doppler spectrum broadening effects due to turbulence and finite radar beam width were reduced using the convolution process. The Gaussian function was used to model the turbulence Doppler spectrum. A non-linear least-squares fitting method was applied to retrieve DSD parameters. Subsequently, the equations to estimate DSD using this dual-frequency algorithm assume the gamma DSD model to retrieve the distribution from the Doppler spectrum of precipitation echo. The precipitation events on April 23, 2004 on the Coupling Processes in the Equatorial Atmosphere (CPEA-I) project have been analyzed. Results show that the precipitation spectrum obtained using the dual-frequency method is higher, more precise, and well-fitted than the single-frequency method, meaning the dual-frequency method has great potential to be used in observing the microphysical process and remote sensing application analysis of DSD in Indonesia, particularly at Koto Tabang. The analyses show various microphysical processes that occur in the rain, such as coalescence, evaporation, break-up, and condensation. Furthermore, for the purpose of easier remote sensing application analysis of profile DSD characteristics, we use a DSD ΔΖMP parameter. ΔΖMP is a rain rate insensitive DSD parameter representing mean drop size. The trend of ΔZMP is not totally uniform with regards to rain rate and reflectivity factors, with ΔZMP higher in the first half of the event and becoming lower toward the end. This suggests that we have to use different Z-R relations within the event. Doi: 10.28991/ESJ-2022-06-03-02 Full Text: PDF
Extreme Rainfall Trends and Hydrometeorological Disasters in Tropical Regions: Implications for Climate Resilience Yanfatriani, Elsa; Marzuki, Marzuki; Vonnisa, Mutya; Razi, Pakhrur; Hapsoro, Cahyo A.; Ramadhan, Ravidho; Yusnaini, Helmi
Emerging Science Journal Vol 8, No 5 (2024): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-05-012

Abstract

Hydrometeorological disasters due to extreme weather events represent a significant threat to the security of life in Jambi Province. In order to develop effective strategies for mitigating this threat, it is essential to gain a comprehensive understanding of the underlying dynamics that give rise to such disasters. Despite the high frequency of these events, more research is needed on the complex relationship between trends in extreme indices and the frequency of hydrometeorological disasters in this region. This study addresses this gap by utilizing rainfall data from 2008 to 2020 from the Integrated Multi-satellite Retrievals for GPM (IMERG) and hydrometeorological disaster data from the National Disaster Management Agency (BNPB). A range of extreme rainfall indices, including PRCPTOT, R85P, R95P, R99P, CWD, CDD, R1mm, R10mm, R20mm, R50mm, RX1Day, RX5Day, and SDII, were subjected to careful analysis concerning hydrometeorological disasters, including floods, landslides, tornadoes, droughts, and forest fires. Notable results indicate a significant increasing trend (p < 0.05) for the CWD index, while decreasing trends are observed for R85P, R95P, R99P, R50mm, RX1Day, RX5Day, and SDII. PRCPTOT and R20mm show decreasing trends, and CDD shows an increasing trend, although it is not statistically significant (p > 0.05). Subsequently, there was a significant increase in landslides and tornadoes, while forest fires and floods showed an insignificant increase (p > 0.05). Drought exhibited a significant decreasing trend in Jambi. Correlation analysis revealed the complex relationship between extreme weather indices and hydrometeorological disasters. The positive correlations observed between most extreme rainfall indices and floods and landslides, except for CDD, indicate that extreme rainfall is the primary cause of these disasters in Jambi. The correlation is particularly pronounced in areas with mountainous topography, where landslides are more prevalent. The positive correlations observed between CDD and droughts and forest fires suggest that periods of reduced rainfall and increased drought contribute to these disasters. This correlation is more robust in districts with extensive peatlands. The results provide valuable insights into the vulnerability of Jambi Province to hydrometeorological disasters and highlight the importance of understanding regional variations in extreme weather events. These findings improve our understanding of the interactions between climate indices and disasters and provide the basis for informed risk reduction and adaptation strategies in changing climatic conditions. Doi: 10.28991/ESJ-2024-08-05-012 Full Text: PDF
Co-Authors Adrial, Rico Afdal Afdal Afdal Afdal Afdhal Muttaqin Ahmad Fauzi Pohan Ahmad Rizqy Shubri Ahmad Zul Amal Zaini Alimin Mahyudin Ardian Putra Ariani, Silvi Arif Budiman Arif Budiman Astuti Astuti - Astuti Astuti Astuti Astuti Astuti Astuti Aulya Rahayu Aulya Rahayu, Aulya Ayu Putri Ningsih Ayu Putri Ningsih Dahyunir Dahlan Damayanti, Elok Dea Kurnia Harysandi Dedi Mardiansyah Dian Fitriyani Dian Fitriyani Dian Milvita Dwi Pujiastuti Dwi Pujiastuti Dwi Puryanti Eldiani Arifya Elfira Saufina Elistia Liza Namigo, Elistia Elvaswer Elvaswer Fadilla Monica Fani Anjelina Feriska Handayani Irka, Feriska Handayani Geby Sri Ayu Oktavia Hanifah Azzaura Musyayyadah Hapsoro, Cahyo A. Harmadi Harmadi Harmadi Harmadi Helmi Yusnaini Helmi Yusnaini Hiroyuki Hashiguchi Hiroyuki Hashiguchi Hiroyuki Hashiguchi Hiroyuki Hashiguchi Hiroyuki Hashiguchi Hiroyuki Hashiguchi, Hiroyuki Husnul Ckhotimah Imam Taufik Imam Taufiq Imam Taufiq Indrayani, Wira Iqbal Ramadhan Iqbal Ramadhan L. Luini Lisna Meylani M. Ali Shafii Marzuki Marzuki Marzuki Marzuki Marzuki Marzuki Marzuki, Meqorry Yusfi Meri Yoseva Mohammad Ali Shafii Mora Mora Muhammad Arif Muhammad Arif Muhammad Kahfi Muhammad Kahfi Muldarisnur, Mulda Muzirwan Muzirwan Naela Amalia Zulfa Naela Amalia Zulfa Nini Firmawati Nor Azlan Mohd Aris Novia Dwi Agusri Nurdiana Nurdiana Nurul Annisa Nurul Hasanah Pakhrur Razi Rahmat Rasyid Rahmat Rasyid Ramacos Fardela Ramadani Safitri Ramadhan, Ravidho Ravidho Ramadhan Ravidho Ramadhan Ravidho Ramadhan Rini Oktaviani Saufina, Elfira Shania Ellens Novita Shimomai, Toyoshi Sholihun, Sholihun Silvi Ariani Solly Aryza Sri Handani Sri Oktamuliani Sucy Lestari Wirma Sugeng Nugroho Suryanto, Wiwit Syarifatul Ulfah Toyoshi Shimomai Toyoshi Shimomai Toyoshi Shimomai Toyoshi Shimomai Trengginas Eka Putra Sutantyo Usna, Sri Rahayu Alfitri Veithzal Rivai Zainal Wira Indrayani Yanfatriani, Elsa Yoci Darwita Putri Yusnaini, Helmi Zulfi Zulfi Zulfi Zulkifli Lubis