[KSCI] Korea Science Citation Index Service

Data Assimilation for Oceanographic Application: A Brief Overview

Park, Seon-K. (Department of Environmental Science and Engineering, Ewha Womans University)

Publication Information

Journal of the korean society of oceanography / v.38, no.2, 2003 , pp. 52-59 More about this Journal

Abstract

In this paper, a brief overview on data assimilation is provided in the context of oceanographic application. The ocean data assimilation needs to ingest various types of data such as satellites and floats, thus essentially requires dynamically-consistent assimilation methods. For such purpose, sequential and variational approaches are discussed and compared. The major advantage of the Kalman filter (KF) is that it can forecast error covariances at each time step. However, for models with very large dimension of state vector, the KF Is exceedingly expensive and computationally less efficient than four-dimensional variational assimilation (4D-Var). For operational application, simplified 4D-Var schemes as well as ensemble KF may be considered.

Keywords

data assimilation; oceanography; variational methods; 4D-Var; Kalman filter;

Citations & Related Records

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