Inference of stochastic parameterizations for model error treatment using nested ensemble Kalman filters

Guillermo Scheffler, Juan Ruiz, Manuel Pulido

Stochastic parameterizations are increasingly being used to represent the uncertainty associated with model errors in ensemble forecasting and data assimilation. One of the challen…