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Identifikasi Variabilitas Suhu Permukaan Laut dan Klorofil-a Lombok Strait pada Triple-Dip La Niña 2020-2022 : Identification of Sea Surface Temperature and Chlorophyll-a Variability in the Lombok Strait During the Triple-Dip La Niña Event (2020–2022) Arzhida, Bima; Novitarini, Putu Widya; Nugraheni, Imma Redha; Carundyatama, Daniar Ihza
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 16 No. 3 (2024): Jurnal Ilmu dan Teknologi Kelautan Tropis
Publisher : Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitkt.v16i3.57981

Abstract

Fenomena La Niña sering menimbulkan perubahan signifikan pada suhu permukaan laut dan dinamika ekosistem laut dalam konteks perubahan iklim global. Studi ini fokus pada pengaruh Triple-Dip La Niña 2020-2022 di Selat Lombok yang berpotensi mempengaruhi keseimbangan biologis maritim. Penelitian ini bertujuan untuk mengidentifikasi dan memahami variabilitas suhu permukaan laut dan konsentrasi klorofil-a selama periode Triple-Dip La Niña. Penelitian menggunakan data Sea Surface Temperature (SST) dan chlorophyll (chlor_a) dari satelit Aqua-MODIS dan juga data arah dan kecepatan angin dalam bentuk Windrose di Mataram, Nusa Tenggara Barat selama periode 2020 hingga 2022 dengan periode 3 bulanan untuk meninjau variabilitas suhu permukaan laut dan klorofil-a yang terjadi. Pendekatan statistik, termasuk kalkulasi koefisien korelasi, diaplikasikan untuk menentukan hubungan antarvariabel. Ditemukan bahwa suhu tertinggi terjadi pada tahun 2020, sementara konsentrasi klorofil-a tertinggi tercatat pada tahun yang sama, khususnya di wilayah pesisir dengan suhu permukaan laut yang relatif lebih rendah dari sekitarnya. Hasil penelitian menunjukkan adanya pengaruh lemah antara klorofil-a dan SST pada wilayah Selat Lombok.
Identification of the causes of convective clouds in extreme rainfall events with hail based on dual-polar radar imagery Rafi, Rayhan; Kuncoro, Dwi; Arzhida, Bima; Jannah Indriyani, Noor; Warjono, Warjono
Jurnal Penelitian Saintek Vol 30, No 2 (2025)
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jps.v30i2.89950

Abstract

This study aims to analyze the atmospheric dynamics behind the formation of convective clouds that produce hail through a multi-instrumental approach. The methods used include streamline map analysis, synoptic data from the Yogyakarta Climatology Station, Himawari-9 HCAI satellite imagery, and dual-polar radar data from the Ahmad Yani Meteorological Station. The results reveal local wind convergence and significant air pressure drop, triggering rapid and intensive formation of Cumulonimbus clouds. Radar products, such as CMAX and HAILSZ, indicate high reflectivity and the presence of large hail particles within the clouds. Hail size is estimated to range from 10–20 mm with a probability of more than 80%. Rain validation shows the highest accumulation of 74 mm/day in Minggir District, Sleman. This study emphasizes the importance of integrating satellite, radar, and surface observation data for detecting extreme weather in tropical regions.
Simulation of sea breeze events during the 2024 dry season along the Cilacap coastline, Indonesia, using the WRF model with satellite data assimilation Arzhida, Bima; Haryanto, Yosafat Doni; Avrionesti; Sabrina , Purwanti Lelly
Journal of Marine Resources and Coastal Management Vol. 7 No. 2 (2026)
Publisher : UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29080/mrcm.v7i2.2617

Abstract

Sea breeze is a coastal meteorological circulation driven by the thermal contrast between land and adjacent water. This study identified and simulated selected sea-breeze events over the Cilacap coastal region during the dry season (May–August 2024). A modified objective filtering procedure was applied using wind speed, wind direction, a positive land–coastal surface air temperature difference, flow persistence, and precipitation. Two events were selected, occurring on 14 May and 24 August 2024. These events were simulated using the Weather Research and Forecasting–Advanced Research WRF model with three-dimensional variational assimilation of Himawari-9 infrared radiance data. The horizontal fields showed that onshore flow began to develop at approximately 11:00 LT and became most continuous around 13:00 LT. On 14 May, the circulation weakened by approximately 17:00 LT, whereas on 24 August it remained identifiable until approximately 19:00 LT. Statistical evaluation against automatic weather station (AWS) observations yielded wind-speed correlation coefficients of 0.534 and 0.923, with root mean square error (RMSE) values of 1.196 and 0.851 m/s for 14 May and 24 August, respectively. Wind-rose comparisons showed generally consistent onshore directional patterns, although differences remained in directional frequency and wind-speed classes. Because no unassimilated WRF control experiment was conducted, the verification assesses only the agreement between the WRF Data Assimilation (WRFDA) simulation and AWS observations and does not quantify the added value of Himawari-9 data assimilation.