In case someone is looking for historical weather data for ML training and prediction, I created an open-source weather API which continuously archives weather data.
Using past and forecast data from multiple numerical weather models can be combined using ML to achieve better forecast skill than any individual model. Because each model is physically bound, the resulting ML model should be stable.
Using past and forecast data from multiple numerical weather models can be combined using ML to achieve better forecast skill than any individual model. Because each model is physically bound, the resulting ML model should be stable.
See: https://open-meteo.com