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Data Assimilation

Tools for Modelling the Ocean in a Global Change Perspective

  • Conference proceedings
  • © 1994

Overview

Editors:
  1. Pierre P. Brasseur

    1. GeoHydrodynamics and Environmental Research, Institute of Physics B5, University of Liège, Liège, Belgium

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  2. Jacques C. J. Nihoul

    1. GeoHydrodynamics and Environmental Research, Institute of Physics B5, University of Liège, Liège, Belgium

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Nato ASI Subseries I: (ASII, volume 19)

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Table of contents (9 papers)

  1. Front Matter

    Pages I-VII
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  2. Dynamics and Data Assimilation in Oceanography

    • K. Haines
    Pages 1-32

  3. Assimilation of Sea Surface Temperature Data in a Numerical Ocean Circulation Model. A Study of the Water Mass Formation

    • E. V. Stanev
    Pages 33-57

  4. A Sensitivity Analysis of Variational Data Assimilation

    • Jens Schröter
    Pages 59-83

  5. Optimal Interpolation in a model of the Azores Current in 1986–88

    • P. De Mey
    Pages 85-105

  6. Mathematical Visualisation of the Northern Bering Sea’s Summer Ecohydrodynamics

    • Jacques C. J. Nihoul, P. Adam, P. Brasseur
    Pages 107-134

  7. The Northern Levantine Sea Circulation Based on Combined Analyses of CTD And ADCP Data

    • Emin Özsoy, Hasan Güngör
    Pages 135-165

  8. Extended Kalman Filtering for Vortex Systems: An Example of Observing-System Design

    • Michael Ghil, Kayo Ide
    Pages 167-193

  9. Perspectives on Advanced Data Assimilation in Strongly Nonlinear Systems

    • Robert N. Miller
    Pages 195-215

  10. Using Adjoint Models for Stability and Predictability Analysis

    • Andrew M. Moore, Brian F. Farrell
    Pages 217-239

  11. Back Matter

    Pages 241-256
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Keywords

About this book

Data assimilation is considered a key component of numerical ocean model development and new data acquisition strategies. The basic concept of data assimilation is to combine real observations via estimation theory with dynamic models. Related methodologies exist in meteorology, geophysics and engineering. Of growing importance in physical oceanography, data assimilation can also be exploited in biological and chemical oceanography. Such techniques are now recognized as essential to understand the role of the ocean in a global change perspective.
The book focuses on data processing algorithms for assimilation, current methods for the assimilation of biogeochemical data, strategy of model development, and the design of observational data for assimilation.

Editors and Affiliations

  • GeoHydrodynamics and Environmental Research, Institute of Physics B5, University of Liège, Liège, Belgium

    Pierre P. Brasseur, Jacques C. J. Nihoul

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