Analysis of Atmospheric Vertical Structure During Hail in Tangerang: A Comparative Study of ECMWF Model Data and Radiosonde Observations
Abstract
Hail is an extreme weather event in tropical regions with local characteristics, short duration, and difficult to predict precisely. The hail event in Tangerang on October 31, 2025, is an important anomaly to study in order to understand the atmospheric structure that triggers massive instability in urban areas. This study aims to identify the vertical conditions of the atmosphere through a comparative study between global numerical model data from the European Centre for Medium-Range Weather Forecasts (ECMWF) and in-situ Radiosonde observation data. The methodology used is a case study approach by integrating remote sensing data from the Himawari-9 Satellite and C-Band Weather Radar to validate the structure of storm cells. Thermodynamic parameters such as Convective Available Potential Energy (CAPE) and freezing level profiles are extracted using Python programming to evaluate the model's ability to represent atmospheric lability conditions. The results of this study are expected to provide a reference for weather forecasters regarding the effectiveness of using global model data as an alternative to limited observational data in the early detection of extreme convective phenomena in Indonesia.
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Ali, A., & Hidayati, S. (2015). Peringatan dini potensi hujan es menggunakan metode severe hail index berdasarkan pengamatan radar cuaca doppler. Prosiding Seminar Nasional Fisika (E-Journal) SNF2015, 4, SNF2015-IX-25–SNF2015-IX-30.
Ali, A., & Sa'adah, U. (2022). Implementasi metode deteksi hujan es berbasis data radar cuaca menggunakan algoritma severe hail index (SHI). Jurnal Fisika Unand, 11(3), 380–386. https://doi.org/10.25077/jfu.11.3.380-386.2022
Anggoro, M. D., & Pramujo, B. (2017). Kajian waktu hidup dan pergerakan awan konvektif berbasis citra radar dan model ECMWF. Jurnal Meteorologi Klimatologi dan Geofisika, 4(3), 24–31.
Ardiansyah, D. (2022). Labilitas atmosfer terkait kejadian hujan es (Studi kasus hujan es di Sindang Dataran Bengkulu Tanggal 25 Juni 2021). Buletin Meteorologi, Klimatologi, dan Geofisika, 2(2), 34–48.
Bedka, K., Brunner, J., Dworak, R., Feltz, W., Otkin, J., & Greenwald, T. (2010). Objective satellite-based detection of overshooting tops using infrared window channel brightness temperature gradients. Journal of Applied Meteorology and Climatology, 49(2), 181–202. https://doi.org/10.1175/2009JAMC2286.1
Bessho, K., Date, K., Hayashi, M., Ikeda, A., Imai, T., Inoue, H., Kumagai, Y., Miyakawa, T., Murata, H., Ohno, T., Okuyama, A., Ozawa, R., Sakai, K., Shimoda, H., Shimoji, K., Tanaka, H., Yoshida, R., & Yoshino, R. (2016). An introduction to Himawari-8/9 Japan’s new-generation geostationary meteorological satellites. Journal of the Meteorological Society of Japan. Ser. II, 94, 151–183. https://doi.org/10.2151/jmsj.2016-009
Carminati, F., Migliorini, S., Ingleby, B., Bell, W., Lawrence, H., Newman, S., Hocking, J., & Smith, A. (2019). Using reference radiosondes to characterise NWP model uncertainty for improved satellite calibration and validation. Atmospheric Measurement Techniques, 12, 83–106. https://doi.org/10.5194/amt-12-83-2019
Fadholi, A. (2013). Analisa kondisi atmosfer pada kejadian cuaca ekstrem hujan es (Hail). Simetri: Jurnal Ilmu Fisika Indonesia, 2(1), 74–80.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., … Thépaut, J. N. (2020). The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, 146(730), 1999–2049. https://doi.org/10.1002/qj.3803
Hidayat, A. M., Efendi, U., & Rahmadini, H. N. (2017). Identifikasi kejadian hujan es berbasis analisis faktor cuaca, citra satelit dan model numerik dengan aplikasi GrADS (Studi kasus: kejadian hujan es tanggal 19 dan 23 April 2017 di Bandung). Seminar Nasional Penginderaan Jauh ke-4 Tahun 2017, 429–440.
Ingleby, B., Isaksen, L., Dahoui, M., Garcia-Mendez, A., & Gaffard, C. (2016). Improved radiosonde bias corrections in the ECMWF system. Quarterly Journal of the Royal Meteorological Society, 142(696), 1664–1675. https://doi.org/10.1002/qj.2779
Knight, C. A., & Knight, N. C. (2001). Hailstorms. In C. A. Doswell III (Ed.), Severe convective storms (pp. 223–254). American Meteorological Society.
Leonardo Germany GmbH. (2018). Rainbow® 5: The complete sensor analysis solution [Computer software]. Leonardo. https://www.leonardocompany.com
May, R. M., Arms, S. C., Marsh, P., Bruning, E., Leeman, J. R., Goebbert, K., Thielen, J. E., & Bruick, Z. S. (2022). MetPy: A Python package for meteorological data. Unidata. https://doi.org/10.5065/D6WW7G29
Mulsandi, A., Sopaheluwakan, A., Faqih, A., Hidayat, R., & Koesmaryono, Y. (2021). Evaluasi performa indeks monsun AUSMI dan WNPMI di wilayah Indonesia. Jurnal Sains & Teknologi Modifikasi Cuaca, 22(2), 75–84. https://doi.org/10.29122/jstmc.v22i2.4649
National Weather Service. (n.d.). Severe weather topics: CAPE. NWS Forecast Office Lincoln, IL. Retrieved December 22, 2025, from https://www.weather.gov/ilx/swop-severetopics-cape
Nugroho, A. D., & Fadlan, A. (2018). Analisis kejadian hujan es berdasarkan kondisi atmosfer dan citra satelit Himawari-8 (Studi kasus: Magelang, 24 Januari 2018). Prosiding Seminar Nasional Meteorologi Klimatologi dan Geofisika, 203–210.
Taszarek, M., Allen, J. T., Marchio, M., & Brooks, H. E. (2021). Global climatology and trends in convective environments from ERA5 and rawinsonde data. npj Climate and Atmospheric Science, 4(1), 1–11. https://doi.org/10.1038/s41612-021-00190-x
Tristiawati, P. (2025, Oktober 31). Hujan es terjadi sekitar 3 menit, pengunjung Mal Serpong sempat menghindar. Liputan6.com. https://www.liputan6.com/news/read/6200251/hujan-es-terjadi-sekitar-3-menit-pengunjung-mal-serpong-sempat-menghindar
University of Wyoming. (2025). Atmospheric soundings. University of Wyoming College of Engineering. http://weather.uwyo.edu/upperair/sounding.html
DOI: http://dx.doi.org/10.20527/jstk.v20i1.24961
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Faculty of Mathematics and Natural Sciences
Universitas Lambung Mangkurat
Jl. A. Yani KM. 36 Banjarbaru 70714, Indonesia
Email: [email protected]
ISSN: 1411-1616 E-ISSN: 2549-8215
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