Dynamical Downscaling of Seasonal Forecasts Using WRF: Assessing Precipitation and Wind Speed Predictability over the Indonesian Maritime Continent
This study evaluates the performance of WRF-dynamically downscaled CFSv2 seasonal forecasts over the Indonesian Maritime Continent, revealing that while the model effectively captures monsoonal patterns and precipitation anomalies with systematic wet biases, wind speed predictability is limited to approximately 14–21 days and increases with lead time, whereas precipitation errors exhibit high day-to-day variability.