Abstract: The purpose of the present study is to use a new method of empirical model error correction, developed by Danforth et al. in 2007, based on estimating the systematic component of the nonperiodic errors linearly dependent ...

Abstract: The purpose of the present study is to explore the feasibility of estimating and correcting systematic model errors using a simple and efficient procedure, inspired by papers by Leith as well as DelSole and Hou, that could ...

Abstract: This study addresses the issue of model errors with the ensemble Kalman filter. Observations generated from the NCEP?NCAR reanalysis fields are assimilated into a low-resolution AGCM. Without an effort to account for model ...