ML models predict optical turbulence from ERA5 data with better summer accuracy and solar radiation as the top feature, but performance varies by season and location.
Otclim: Generating a nea r-surface climatology of optical turbulence strength (cn2) using gradient bo osting
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Learning from Translation: Seasonal Errors and Feature Importance of the ERA5 Turbulence Predictions
ML models predict optical turbulence from ERA5 data with better summer accuracy and solar radiation as the top feature, but performance varies by season and location.