Machine Learning Model Advances Operational Global Aerosol Forecasting

Summary

A paper published in Nature introduces AI-GAMFS (AI-based Global Aerosol Machine-learning Forecasting System), a machine learning system designed to advance operational global aerosol forecasting. The system was evaluated against MERRA-2 reanalysis data and observational baselines across 54 aerosol and meteorological variables, testing multiple relay forecast configurations (3-hour, 6-hour, 9-hour, and 12-hour intervals) to identify optimal predictive performance. The research, authored by a la