See https://en.wikipedia.org/wiki/Numerical_weather_prediction https://en.wikipedia.org/wiki/Numerical_weather_prediction > Present understanding is that this

See https://en.wikipedia.org/wiki/Numerical_weather_prediction https://en.wikipedia.org/wiki/Numerical_weather_prediction > Present understanding is that this chaotic behavior limits accurate forecasts to about 14 days even with accurate input data and a flawless model. In addition, the partial differential equations used in the model need to be supplemented with parameterizations for solar radiation, moist processes (clouds and precipitation), heat exchange, soil, vegetation, surface water, and the effects of terrain. I think there is a hope that DL models wont have this problem.