This assessment demonstrates improved meteorological parameter accuracy from IPW data assimilation in forecasts, suggesting enhanced predictive performance.
Key Points
Assimilating IPW data significantly reduced RMSE for wind forecasts, enhancing overall model accuracy.
Forecasts showed consistent improvements in temperature and geopotential height across all forecast days.
Data assimilation was applied four times daily, focusing on rainfall events during June and July 2024.
The study used a high-resolution WRF model with a 3 km grid spacing to assess weather predictions.