Record Details

Variational data assimilation in ocean model: A simulation experiment

NOPR - NISCAIR Online Periodicals Repository

View Archive Info
 
 
Field Value
 
Title Variational data assimilation in ocean model: A simulation experiment
 
Creator Kumar, Raj
Basu, Sujit
Pandey, PC
 
Description 52-59
Variational data assimilation approach using adjoint equations has been used in a reduced gravity model of the Northwestern Indian Ocean. The method minimises a cost function defining the misfit between the model and the data with the model equations acting as constraints. Several numerical experiments have been performed with simulated data generated from a control run of the model with analysed wind forcing data. In the case of perfect data, assimilation procedure is able to recover Sea Surface Elevation and current. The algorithm is found to have good potential and will be very much applicable for assimilation of spaceborne altimeter data.
 
Date 2016-10-18T09:12:03Z
2016-10-18T09:12:03Z
1998-03
 
Type Article
 
Identifier 0975-1033 (Online); 0379-5136 (Print)
http://nopr.niscair.res.in/handle/123456789/35735
 
Language en_US
 
Rights CC Attribution-Noncommercial-No Derivative Works 2.5 India
 
Publisher NISCAIR-CSIR, India
 
Source IJMS Vol.27(1) [March 1998]