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Variational data assimilation in a reduced gravity model of the northwestern Indian Ocean: Experiment with Kelvin waves

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Title Variational data assimilation in a reduced gravity model of the northwestern Indian Ocean: Experiment with Kelvin waves
 
Creator Basu, Sujit
Kumar, Raj
Gairola, R.M.
Pandey, P.C.
 
Description 263-270
Variational method of assimilating data in a reduced gravity model of the northwestern Indian Ocean is discussed. A cost function representing the misfit between the model and the data is minimised with the model equations acting as constraints. The initial conditions of the model are used as control parameters and the best fit initial conditions are determined as a result of minimisation carried out using a variable-storage quasi-Newton method. Experiment has been done with simulated data generated from a control sun of the model describing propagation of Kelvin waves. Assimilation of upper layer thickness data alone has been found to be sufficient for a good recovery of the initial state. The method has been found to have good predictive potential and is particularly suitable for assimilating data from satellite altimeters.
 
Date 2016-10-27T05:49:42Z
2016-10-27T05:49:42Z
1997-09
 
Type Article
 
Identifier 0975-1033 (Online); 0379-5136 (Print)
http://nopr.niscair.res.in/handle/123456789/36297
 
Language en_US
 
Rights CC Attribution-Noncommercial-No Derivative Works 2.5 India
 
Publisher NISCAIR-CSIR, India
 
Source IJMS Vol.26(3) [September 1997]