Skillful Seasonal Prediction Of Afro-asian Summer Monsoon Precipitation With A Merged Machine Learning And Large Ensemble Approach

Machine learning has shown potential for improving seasonal climate prediction, but challenges such as high computational resource requirements and limited labels still exist. To address these challenges, a new machine learning seasonal prediction model (Y-model) has been developed, which effectively forecasts AfroASMP one year in advance. The model uses a preprocessing method for predictors and independent hindcast to find effective predictors.