Besides initialcondition error, weather and climate prediction models are also sensitive to errors associated with the model itself. In particular, the uncertainty due to the parameterizations of sub-grid-scale physical processes is known to play a
crucial role in prediction quality (e.g., [5]). Prediction errors caused by the uncertainty in physical parameterizations
is commonly referred to as model errors. Being that said, weather predictability errors are normally subject to two
kinds of errors, initial condition errors and model errors.