Reference : Correcting circulation biases in a lower-resolution global general circulation model ...
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
http://hdl.handle.net/2268/204135
Correcting circulation biases in a lower-resolution global general circulation model with data assimilation
English
Canter, Martin mailto [Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Barth, Alexander mailto [Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Beckers, Jean-Marie mailto [Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
7-Dec-2016
Ocean Dynamics
Springer Science & Business Media B.V.
Topical Collection on the 47th International Liège Colloquium on Ocean Dynamics, Liège, Belgium, 4-8 May 2015
Yes (verified by ORBi)
International
1616-7341
1616-7228
Heidelberg
Germany
[en] Bias correction ; Data assimilation ; Global ocean model ; Stochastic forcing ; NEMO-LIM2 ; Ensemble transform Kalman filter ; Ensemble smoother ; Circulation bias ; Parameter estimation
[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.
GeoHydrodynamics and Environment Research
Politique Scientifique Fédérale (Belgique) = Belgian Federal Science Policy ; Union Européenne = European Union - UE = EU ; CECI
SANGOMA
Researchers ; Students
http://hdl.handle.net/2268/204135
10.1007/s10236-016-1022-3
http://link.springer.com/article/10.1007%2Fs10236-016-1022-3
FP7 ; 283580 - SANGOMA - Stochastic Assimilation for the Next Generation Ocean Model Applications

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