Correcting circulation biases in a lower-resolution global general circulation model with data assimilation

Bias correction; Data assimilation; Global ocean model; Stochastic forcing; NEMO-LIM2; Ensemble transform Kalman filter; Ensemble smoother; Circulation bias; Parameter estimation

Abstract :

[en] In this study, we aim at developing a new method of bias correction using data assimilation. This method is based on the stochastic forcing of a model to correct bias by directly adding an additional source term into the model equations. This method is presented and tested first with a twin experiment on a fully controlled Lorenz ’96 model. It is then applied to the lower-resolution global circulation NEMO-LIM2 model, with both a twin experiment and a real case experiment. Sea surface height observations are used to create a forcing to correct the poorly located and estimated currents. Validation is then performed throughout the use of other variables such as sea surface temperature and salinity. Results show that the method is able to consistently correct part of the model bias. The bias correction term is presented and is consistent with the limitations of the global circulation model causing bias on the oceanic currents.

Research center :

GeoHydrodynamics and Environment Research

Disciplines :

Earth sciences & physical geography

Author, co-author :

Canter, Martin ; Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)

Barth, Alexander ; 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 :

Correcting circulation biases in a lower-resolution global general circulation model with data assimilation

Publication date :

07 December 2016

Journal title :

Ocean Dynamics

ISSN :

1616-7341

eISSN :

1616-7228

Publisher :

Springer Science & Business Media B.V., Heidelberg, Germany

Special issue title :

Topical Collection on the 47th International Liège Colloquium on Ocean Dynamics, Liège, Belgium, 4-8 May 2015

Peer reviewed :

Peer Reviewed verified by ORBi

Tags :

CÉCI : Consortium des Équipements de Calcul Intensif

Additional URL :

http://link.springer.com/article/10.1007%2Fs10236-016-1022-3

European Projects :

FP7 - 283580 - SANGOMA - Stochastic Assimilation for the Next Generation Ocean Model Applications

Name of the research project :

SANGOMA

Funders :

BELSPO - SPP Politique scientifique - Service Public Fédéral de Programmation Politique scientifique
UE - Union Européenne [BE]
CÉCI - Consortium des Équipements de Calcul Intensif [BE]
CE - Commission Européenne [BE]

Available on ORBi :

since 08 December 2016

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