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This is a Quantitative Study study.

Identification of Cumulonimbus Clouds as a Trigger for Extreme Weather at Soekarno-Hatta International Airport on July 24, 2023 Based on Weather Radar, LIDAR, and PWV Estimates of the ECMWF-ERA5 Numerical Model

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Analysis using weather radar and LIDAR identifies extreme weather events in aviation, suggesting enhanced detection systems.

Cumulonimbus clouds significantly impact aviation safety, leading to nine go-arounds and four diverts at the airport.
Analysis showed precipitable water vapor values increased significantly before the extreme weather event, up to 47.60 kg/m².
Weather radar detected strong convection with high reflectivity (>60 dBZ) and horizontal shear exceeding 10 m/s/km.
Integrating multi-sensor data improves early detection of CB clouds, enhancing mitigation systems for weather risks in aviation.

Saadah et al. (2025) studied this question.

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