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Forward Sensitivity Approach to Dynamic Data Assimilation
Joint Authors
Lewis, J. M.
Lakshmivarahan, S.
Source
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-05-05
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The least squares fit of observations with known error covariance to a strong-constraint dynamical model has been developed through use of the time evolution of sensitivity functions—the derivatives of model output with respect to the elements of control (initial conditions, boundary conditions, and physical/empirical parameters).
Model error is assumed to stem from incorrect specification of the control elements.
The optimal corrections to control are found through solution to an inverse problem.
Duality between this method and the standard 4D-Var assimilation using adjoint equations has been proved.
The paper ends with an illustrative example based on a simplified version of turbulent heat transfer at the sea/air interface.
American Psychological Association (APA)
Lakshmivarahan, S.& Lewis, J. M.. 2010. Forward Sensitivity Approach to Dynamic Data Assimilation. Advances in Meteorology،Vol. 2010, no. 2010, pp.1-12.
https://search.emarefa.net/detail/BIM-467145
Modern Language Association (MLA)
Lakshmivarahan, S.& Lewis, J. M.. Forward Sensitivity Approach to Dynamic Data Assimilation. Advances in Meteorology No. 2010 (2010), pp.1-12.
https://search.emarefa.net/detail/BIM-467145
American Medical Association (AMA)
Lakshmivarahan, S.& Lewis, J. M.. Forward Sensitivity Approach to Dynamic Data Assimilation. Advances in Meteorology. 2010. Vol. 2010, no. 2010, pp.1-12.
https://search.emarefa.net/detail/BIM-467145
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-467145