Introduction

introduction to Mohid, history, some applications, data assimilation importance of data assimilation, improvement on DA for Mohid, our approach

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Applications and section.

Mohid Model 

Model description

Data Assimilation Scheme in MOHID

MOHID the Singular Evolutive Extended Kalman Filter (SEEK), developed by Pham et al. (1998a), and the Singular Evolutive Interpolated Kalman Filter (SEIK), developed by Pham et al. (1998b) these schemes are chosen for this first data assimilation implementation since they have reported applicability in non linear models, have small computational cost and algorithm complexity and are easily scalable to other more advanced schemes articularly adequate for data assimilation in non linear models . Previews   \cite{canas2009}