Replacing the manual tuning process and the offline fitting of parameterization schemes to data from few locations, the ESM we envision will autotune itself and quantify its uncertainties based on statistics of all available data.
This manual model tuningprocess uses only a fraction of the available data, and it does so inefficiently, leading to inconsistent tuning and compensating errors among tuned model components.