Reference : Multigrid state vector for data assimilation in a two-way nested model of the Ligurian Sea
Scientific journals : Article
Life sciences : Aquatic sciences & oceanology
Physical, chemical, mathematical & earth Sciences : Multidisciplinary, general & others
http://hdl.handle.net/2268/4260
Multigrid state vector for data assimilation in a two-way nested model of the Ligurian Sea
English
Barth, Alexander mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > Océanographie physique >]
Alvera Azcarate, Aïda mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Beckers, Jean-Marie mailto [Université de Liège - ULg > Département d'astrophys.]
Rixen, Michel [> > > >]
Vandenbulcke, Luc [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > Département d'astrophys., géophysique et océanographie (AGO) >]
Mar-2007
Journal of Marine Systems
Elsevier Science
65
1-4
Marine Environmental Monitoring and Prediction
41-59
Yes (verified by ORBi)
International
0924-7963
Amsterdam
The Netherlands
[en] data assimilation ; two-way nested model ; reduced-rank Kalman filter ; Ligurian Sea
[en] A system of two nested models composed by a coarse resolution model of the Mediterranean Sea, an intermediate resolution model of the Provencal Basin and a high resolution model of the Ligurian Sea is coupled with a Kalman-filter based assimilation method. The state vector for the data assimilation is composed by the temperature, salinity and elevation of the three models. The forecast error is estimated by an ensemble run of 200 members by perturbing initial condition and atmospheric forcings. The 50 dominant empirical orthogonal functions (EOF) are taken as the error covariance of the model forecast. This error covariance is assumed to be constant in time. Sea surface temperature (SST) and sea surface height (SSH) are assimilated in this system. (c) 2006 Elsevier B.V. All rights reserved.
Centre Interfacultaire de Recherches en Océanologie - MARE - GHER
http://hdl.handle.net/2268/4260
10.1016/j.jmarsys.2005.07.006

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