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All Journal GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi
Yahya Darmawan
Badan Meteorologi Klimatologi dan Geofisika
Earth & Planetary Sciences Education Environmental Science Social Sciences Other

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Interpretasi Fase Awan dengan Metode CCO Dan RGB pada Data Satelit Himawari-9 di DKI Jakarta (Studi Kasus: 1 Januari 2023) Attiya Shakila Giananti; Yahya Darmawan; Aditya Mulya
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 5 No. 1 (2024): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v5i1.8022

Abstract

Indonesia is the largest archipelagic country in the world so it receives large amounts of energy from solar radiation which makes it the most active convective region in the world. In December and January, DKI Jakarta tends to experience the rainy season. On January 1 2023, BMKG gave an early warning that it would rain in Jakarta. Reporting from several news reports, in the new year 2023, Jakarta was hit by heavy rain. Cloud phase analysis is needed to determine the potential for rain. This research identifies cloud phases using Himawari-9 satellite image data which is then processed using the Cloud Convective Overlays (CCO) method and the Red Green Blue (RGB) method. The CCO method can identify the distribution of cumulonimbus clouds and the RGB method can determine the flow of air masses, the type of air mass (Airmass), identify cloud phase, and the presence of high clouds containing ice (Day Convective Storm, Day Natural Color, and Cloud Phase Distinction ). The data used are bands 3 (0.6 µm), 5 (1.6 µm), 7 (3.7 µm), 8 (6.2 µm), 10 (7.3 µm), 12 (9.6 µm), 13 (10 .4 µm), and 15 (12.4 µm) at 7.00, 8.00, 9.00, 10.00, 11.00, 12.00, 13.00, and 14.00 WIB (GMT+7). The data was processed and visualized using Grid Analysis and Display System (GrADS) and GMSLPD SATAID software.
Analisis Kondisi Atmosfer pada Kejadian Hujan ES di Kota Palembang 04 November 2023 Abdul Aziz Al Badri; Yahya Darmawan
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 5 No. 1 (2024): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v5i1.8469

Abstract

Seasonal transitions in Indonesia are typically accompanied by extreme weather phenomena, such as hail that occurred in the city of Palembang on November 4, 2023. The analysis of atmospheric conditions is intended to understand the dynamics of the atmosphere during the occurrence of the hailstorm phenomenon. The data used in this study include satellite imagery from Himawari-9 channels 8, 11, 13, 15, GSM data, ECMWF modelling data, and SST anomaly data. The research results indicate that anomalies in sea surface temperature and vertical convergence profiles, as well as relative humidity (RH), strengthen the potential for convective activity leading to extreme weather conditions. Based on Himawari-9 satellite imagery, the time series graph shows the lowest peak cloud temperature at around -80°C, with the Atmospheric Stability Index based on the GSM method indicating a labile atmospheric condition. Furthermore, using the RGB 24 Hour Microphysics and CCO methods, Cumulonimbus clouds were observed to begin growing at 07:20 UTC, entering the mature stage at 09:20 UTC, and starting to decay at 10:20 UTC.
Co-Authors Abdul Aziz Al Badri Aditya Mulya Attiya Shakila Giananti