Fig. 3: Comparison of global aerosol component forecast accuracy between operational AI-GAMFS and GEOS-FP.
From: Advancing operational global aerosol forecasting with machine learning
a,b, Scorecards of spatial R (a) and latitude-weighted RMSE (b) for 5-day, 3-hourly global forecasts of 12 aerosol variables from operational AI-GAMFS and GEOS-FP, evaluated against MERRA-2 reanalysis during July–August 2024. c, The 5-day forecast accuracy (measured by RMSE) of operational AI-GAMFS and GEOS-FP, evaluated against independent aerosol observations from July–August 2024: AOD and DUAOD were evaluated against global AERONET observations, and BCSMC, OCSMC and SUSMC were evaluated against the IMPROVE network observations in the USA. For comparison with the daily IMPROVE data, 3-hourly forecasts were averaged to daily means.
