A Primitive Equation Ocean General Circulation Model (PE OGCM) in a global configuration similar to that used in coupled ocean-atmosphere models is fitted to climatological data using the adjoint method. The ultimate objective is the use of data assimilation for the improvement of the ocean component of coupled models, and for the calculation of initial conditions for initializing coupled model integrations. We argue that ocean models that are used for coupled climate studies are an especially appropriate target for data assimilation using the adjoint method
Modern numerical weather prediction often employs an adjoint of the forecast model to optimally init...
A coarse version of the global ocean assimilation system (GOAS) is applied to estimate the mean cycl...
We consider a method for assimilating the observation data based on the theory of Kalman filtration ...
A general procedure of adjoint data assimilation for atmosphere-ocean coupled systems was developed...
A general procedure of adjoint data assimilation for atmosphere-ocean coupled systems was developed...
A barotropic quasi-geostrophic ocean model with open boundaries was used to model a system of mid-oc...
An experimental ENSO prediction system is presented, based on an ocean general circulation model (GC...
An efficient procedure is presented for analyzing oceanographic observations with the aid of a gener...
52-59Variational data assimilation approach using adjoint equations has been used in a reduced gravi...
A variational data assimilation system has been implemented for the tropical Pacific Ocean using an ...
An ensemble-based data assimilation framework for a coupled ocean–atmosphere model is applied to inv...
An ensemble-based data assimilation framework for a coupled ocean–atmosphere model is applied to inv...
An experimental ENSO prediction system is presented, based on an ocean general circulation model (GC...
An experimental ENSO prediction system is presented, based on an ocean general circulation model (GC...
In this paper, we explore the use of the adjoint method in the oceano-graphic context for assimilati...
Modern numerical weather prediction often employs an adjoint of the forecast model to optimally init...
A coarse version of the global ocean assimilation system (GOAS) is applied to estimate the mean cycl...
We consider a method for assimilating the observation data based on the theory of Kalman filtration ...
A general procedure of adjoint data assimilation for atmosphere-ocean coupled systems was developed...
A general procedure of adjoint data assimilation for atmosphere-ocean coupled systems was developed...
A barotropic quasi-geostrophic ocean model with open boundaries was used to model a system of mid-oc...
An experimental ENSO prediction system is presented, based on an ocean general circulation model (GC...
An efficient procedure is presented for analyzing oceanographic observations with the aid of a gener...
52-59Variational data assimilation approach using adjoint equations has been used in a reduced gravi...
A variational data assimilation system has been implemented for the tropical Pacific Ocean using an ...
An ensemble-based data assimilation framework for a coupled ocean–atmosphere model is applied to inv...
An ensemble-based data assimilation framework for a coupled ocean–atmosphere model is applied to inv...
An experimental ENSO prediction system is presented, based on an ocean general circulation model (GC...
An experimental ENSO prediction system is presented, based on an ocean general circulation model (GC...
In this paper, we explore the use of the adjoint method in the oceano-graphic context for assimilati...
Modern numerical weather prediction often employs an adjoint of the forecast model to optimally init...
A coarse version of the global ocean assimilation system (GOAS) is applied to estimate the mean cycl...
We consider a method for assimilating the observation data based on the theory of Kalman filtration ...