[en] Current ocean models have relatively large errors and biases in the Southern
Ocean. The aim of this study is to provide a reanalysis from 1985 to 2006 assimilating
sea surface temperature, sea ice concentration and sea ice drift. In the following it is also
shown how surface winds in the Southern Ocean can be improved using sea ice drift es-
timated from infrared radiometers. Such satellite observations are available since the late
seventies and have the potential to improve the wind forcing before more direct measure-
ments of winds over the ocean are available using scatterometry in the late nineties. The
model results are compared to the assimilated data and to independent measurements (the
World Ocean Database 2009 and the mean dynamic topography based on observations).
The overall improvement of the assimilation is quantified, in particular the impact of the
assimilation on the representation of the polar front is discussed. Finally a method to iden-
tify model errors in the Antarctic sea ice area is proposed based on Model Output Statistics
techniques using a series of potential predictors. This approach provides new directions for
model improvements.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Barth, Alexander ; Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Canter, Martin ; Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Van Schaeybroeck, Bert
Vannitsem, Stéphane
Massonnet, François
Zunz, Violette
Mathiot, Pierre
Alvera Azcarate, Aïda ; Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Beckers, Jean-Marie ; Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Language :
English
Title :
Assimilation of sea surface temperature, sea ice concentration and sea ice drift in a model of the Southern Ocean
Publication date :
2015
Event name :
The 47th International Liege Colloquium
Event date :
4-8 May 2015
European Projects :
FP7 - 283580 - SANGOMA - Stochastic Assimilation for the Next Generation Ocean Model Applications
Funders :
UE - Union Européenne F.R.S.-FNRS - Fonds de la Recherche Scientifique CE - Commission Européenne