Study of Atmospheric Stability Indices Forecast for Identifying Convective Activity in the Bandung Basin Based on the WRF-ARW Model and Threshold Exceedance

Identifikasi Aktivitas Konveksi Menggunakan Model WRF-ARW dan Indeks Stabilitas Atmosfer di Cekungan Bandung

Authors

  • Abdul Hamid Al Habib BMKG
  • Reinhart C. H. Hutauruk Bandung Institute of Technology (ITB)
  • Nurjanna Joko Trilaksono Bandung Institute of Technology (ITB)
  • Haryas Subyantara Wicaksana Meteorology, Climatology, and Geophysical Agency (BMKG)
  • Arini Amalia Choir Bandung Institute of Technology (ITB)

DOI:

https://doi.org/10.31172/jmg.v26i1.1126

Keywords:

Convective Activity, WRF-ARW, Atmospheric Stability Indices

Abstract

The Bandung Basin, characterized by complex topography, experiences some of the highest occurrences of heavy rainfall and hail in Indonesia. This study focuses on forecasting convective activity associated with a thunderstorm and heavy rainfall event that triggered flooding in the Pagarsih area, West Java, on 4 October 2022. The spatiotemporal forecast characteristics of convection are assessed using atmospheric stability indices (CAPE, K Index, Total Totals Index, and Lifted Index), together with low-level convergence and updraft fields from the WRF-ARW model, to identify the development of convective cells influenced by the Bandung Basin’s topography. The results reveal a distinct spatiotemporal evolution of convection across mountainous and valley regions. In the early phase, convection first emerged over mountainous areas, driven by a gradual increase in atmospheric instability and low-level convergence, before developing over the valley. The forecasted stability indices show a rising trend 2–5 hours before the onset of thunderstorms and heavy rainfall in the Pagarsih area. At the mature stage, mountain convection was mainly initiated by solar radiation heating, while valley convection was predominantly triggered by mechanical forcing, characterized by a sudden surge in low-level convergence, instability indices, and updraft, leading to more explosive convective development. During dissipation, convection weakened in both regions; however, mountainous areas exhibited stronger convective recovery, indicating higher sensitivity to surface reheating.

Downloads

Download data is not yet available.

References

Al Habib, A. H., Bangalino, E., & Ryan, M. (2020). Rancang bangun model artificial neural network untuk prediksi probabilistik kejadian thunderstorm di wilayah Manado. Prosiding Seminar Nasional Sains Atmosfer.

Alford, P. (1992). Tropical area prediction system (TLAPS) guide. Bureau of Meteorology Training Centre (BMTC).

Badan Meteorologi, Klimatologi, dan Geofisika. (n.d.). Portal Informasi Kejadian Cuaca Ekstrem (PIKACU). Retrieved July 26, 2025, from https://pikacu.bmkg.go.id/

Cheng, W.-Y., Kim, D., & Holzworth, R. H. (2021). CAPE threshold for lightning over the tropical ocean. Journal of Geophysical Research: Atmospheres, 126.

DeRubertis, D. (2006). Recent trends in four common stability indices derived from U.S. radiosonde observations. Journal of Climate, 19, 309–323.

Detikcom. (n.d.). Ini 23 wilayah di Bandung yang langganan banjir “cileuncang”. Retrieved July 26, 2025, from https://news.detik.com/berita-jawa-barat/d-3070467/ini-23-wilayah-di-bandung-yang-langganan-banjir-i-cileuncang-i

Emanuel, K. A., Neelin, J. D., & Bretherton, C. S. (1994). On large-scale circulations in convecting atmospheres. Quarterly Journal of the Royal Meteorological Society, 120(519), 1111–1143.

Engerer, N. A., Stensrud, D. J., & Coniglio, M. C. (2008). Surface characteristics of observed cold pools. Monthly Weather Review, 136(12), 4839–4849.

Ferdaus, J., et al. (2021). Prediction of thunderstorms based on atmospheric instability indices over Bangladesh using WRF-ARW model. Jalawayu, 1(2).

Firdaus, I. M., Trilaksono, N. J., & Yamazaki, T. (2024). Mechanism of initiation and regeneration of convective cell in Bandung Basin, Indonesia. Geoscience Letters, 11, 44.

Galway, J. G. (1956). The lifted index as a predictor of latent instability. Bulletin of the American Meteorological Society, 37, 528–529.

George, J. J. (1960). Weather forecasting for aeronautics. Academic Press.

Gustari, I., et al. (2012). Akurasi prediksi curah hujan harian operasional di Jabodetabek: Perbandingan model WRF. Jurnal Meteorologi dan Geofisika, 13(2).

Haklander, A. J., & van Delden, A. (2003). Thunderstorm predictors and their forecast skill for the Netherlands. Atmospheric Research, 67–68, 273–299.

Kompas. (n.d.). 16 titik di Kota Bandung rawan banjir. Retrieved July 26, 2025, from https://regional.kompas.com/read/2018/03/09/13531391/16-titik-di-kota-bandung-rawan-banjir

Kirshbaum, D. J., et al. (2018). Moist orographic convection: Physical mechanisms and links to surface-exchange processes. Atmosphere, 9(3), 80.

Lestari, J. T., & Wandala, A. (2018). A study comparison of two system model performance in estimated lifted index over Indonesia. Journal of Physics: Conference Series, 1025, 012113.

Markova, B., & Mitzeva, R. (2012). Instability indices as an indicator of thunderstorms in eastern Bulgaria—Preliminary results. Bulgarian Geophysical Journal, 38(1–3), 12–20.

Meteorological, Climatological, and Geophysical Agency (BMKG) – Aviation Meteorology Center. (n.d.). METAR/SPECI & trend forecast. Retrieved July 26, 2025, from https://web-aviation.bmkg.go.id/web/metar_speci.php

Miller, R. C. (1972). Notes on analysis and severe-storm forecasting procedures of the Air Force Global Weather Central (AWS Tech. Rep. 200 Rev.). U.S. Air Force.

Oigawa, M., Matsuda, T., Tsuda, T., & Noersomadi. (2017). Coordinated observation and numerical study on a diurnal cycle of tropical convection over a complex topography in West Java, Indonesia. Journal of the Meteorological Society of Japan, 95, 261–281.

Qian, J. H. (2008). Why precipitation is mostly concentrated over islands in the Maritime Continent. Journal of the Atmospheric Sciences, 65, 1428–1441.

Robinson, F. (2025). Investigating the effects of orography and ambient wind on convective initiation over complex terrain. Journal of the Atmospheric Sciences.

Saleh, N., Gharaylou, M., Farahani, M. M., & Alizadeh, O. (2023). Performance of lightning potential index, lightning threat index, and the product of CAPE and precipitation in the WRF model. Earth and Space Science, 10.

Smith, V. H., et al. (2015). The role of orography in the regeneration of convection: A case study from the convective and orographically-induced precipitation study. Meteorologische Zeitschrift, 24(1), 83–97.

SuaraJabar. (n.d.). Hujan deras guyur sore ini, banjir terjang Jalan Pagarsih dan Cimahi, arus lalu lintas macet. Retrieved July 26, 2025, from https://jabar.suara.com

Takenaka, H., et al. (2020). Geolocation correction for geostationary satellite observations by phase-only correlation method using visible channel. Remote Sensing, 12(15), 2472.

Williams, E. R., et al. (1999). The behavior of total lightning activity in severe Florida thunderstorms. Atmospheric Research, 51(3), 245–265.

Zakir, A. (2010). Modul diklat meteorologi publik. Pusat Pendidikan dan Pelatihan BMKG.

Downloads

Published

2026-01-03

How to Cite

Al Habib, A. H., Hutauruk, R. C. H., Trilaksono, N. J., Wicaksana, H. S., & Choir, A. A. (2026). Study of Atmospheric Stability Indices Forecast for Identifying Convective Activity in the Bandung Basin Based on the WRF-ARW Model and Threshold Exceedance: Identifikasi Aktivitas Konveksi Menggunakan Model WRF-ARW dan Indeks Stabilitas Atmosfer di Cekungan Bandung. Jurnal Meteorologi Dan Geofisika, 26(1), 81–88. https://doi.org/10.31172/jmg.v26i1.1126

Issue

Section

Article