Extreme rainfall, often accompanied by high-impact weather, frequently occurs in Padang City, causing floods, damaging livelihoods, and posing threats to lives and the environment. Therefore, analyzing intense rainfall patterns, such as convective cloud development, cloud distribution patterns, as well as the timing and duration of rainfall, is essential for improving disaster mitigation efforts and supporting research in this region. This study utilized volumetric data from a Gematronic weather radar to produce radar products capable of identifying extreme rainfall leading to floods. The analysis revealed that between July 13 and 14, 2023, rainfall occurred from midday until early morning, with convective clouds showing reflectivity values of 55–60 dBZ, indicating light to extreme rainfall, with peak intensity occurring at night. Validation with rainfall station data recorded rainfall values on July 14, 2023, ranging from 145 to 434 mm/day. Understanding these extreme rainfall patterns and durations is crucial for better disaster risk planning and mitigation strategies.

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Identification of Extreme Rainfall in Padang Based on Weather Radar Imagery: Case Study Flood July 2023

  • Hanifsyah Rozi,
  • Pakhrur Razi,
  • Aulia Rinadi

摘要

Extreme rainfall, often accompanied by high-impact weather, frequently occurs in Padang City, causing floods, damaging livelihoods, and posing threats to lives and the environment. Therefore, analyzing intense rainfall patterns, such as convective cloud development, cloud distribution patterns, as well as the timing and duration of rainfall, is essential for improving disaster mitigation efforts and supporting research in this region. This study utilized volumetric data from a Gematronic weather radar to produce radar products capable of identifying extreme rainfall leading to floods. The analysis revealed that between July 13 and 14, 2023, rainfall occurred from midday until early morning, with convective clouds showing reflectivity values of 55–60 dBZ, indicating light to extreme rainfall, with peak intensity occurring at night. Validation with rainfall station data recorded rainfall values on July 14, 2023, ranging from 145 to 434 mm/day. Understanding these extreme rainfall patterns and durations is crucial for better disaster risk planning and mitigation strategies.