Publicaties | Kaarten

nieuwe zoekopdracht

[ meld een fout in dit record ]mandje (0): toevoegen | toon Print deze pagina
Correcting circulation biases in a lower-resolution global general circulation model with data assimilation
Canter, M.; Barth, A.; Beckers, J.-M. (2017). Correcting circulation biases in a lower-resolution global general circulation model with data assimilation. Ocean Dynamics 67(2): 281-298. https://dx.doi.org/10.1007/s10236-016-1022-3
In: Ocean Dynamics. Springer-Verlag: Berlin; Heidelberg; New York. ISSN 1616-7341; e-ISSN 1616-7228, meer
Peer reviewed article  
Beschikbaar in  Auteurs 
Trefwoord
    Marien/Kust
Author keywords
    Bias correction; Data assimilation; Global ocean model; Stochasticforcing; NEMOLIM2; Ensemble transform Kalman filter; ETKF; Ensemblesmoother; Circulation bias; Parameter estimation
Auteurs  Top 
  • Canter, M.
  • Barth, A.
  • Beckers, J.-M.
Abstract
    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.
Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid Top | Auteurs 
IMIS is ontwikkeld en wordt gehost door het VLIZ.