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This research aims to improve the simulation of extreme weather events in the Wanzhou region using the WRF model and machine learning techniques.

Simulation of Extreme Weather Events in the Wanzhou Region of the Three Gorges Reservoir Area Using the WRF Model Coupled With Machine Learning Techniques

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Evaluates extreme weather simulations, improving predictions in the Wanzhou region, suggesting enhanced disaster resilience.

This research aims to improve the simulation of extreme weather events in the Wanzhou region using the WRF model and machine learning techniques.
Evaluated multiple physical parameterisation schemes in the WRF model.
Applied extreme gradient boosting, random forest, and long short-term memory models for optimization.
Assessed temporal and spatial consistency indices and error statistics.
Scheme A5 achieved the best performance for extreme precipitation simulations.
Scheme B5 performed best for high-temperature events.
Coupling optimal WRF configurations with the RF model increased consistency indices significantly for both extreme precipitation and high temperatures.

Zhou et al. (2026) studied this question.

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