Email this article ARGO data assimilation into the ocean dynamics model with high spatial resolution using Ensemble Optimal Interpolation (EnOI)
- Authors: Kaurkin M.N.1,2,3, Ibrayev R.A.1,2,3,4, Belyaev K.P.2,5
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Affiliations:
- Institute of Numerical Mathematics
- P.P. Shirshov Institute of Oceanology
- Hydrometcentre of Russia
- Moscow Institute of Physics and Technology (State University)
- Dorodnicyn Computing Center
- Issue: Vol 56, No 6 (2016)
- Pages: 774-781
- Section: Marine Physics
- URL: https://journal-vniispk.ru/0001-4370/article/view/149294
- DOI: https://doi.org/10.1134/S0001437016060059
- ID: 149294
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Abstract
The article proposes parallel implementation of the Ensemble Optimal Interpolation (EnOI) data assimilation (DA) method in eddy-resolving World Ocean circulation model. The results of DA experiments in North Atlantic with ARGO drifters are compared with the multivariate optimal interpolation (MVOI) DA scheme. The sensitivity of the model error, i.e., the difference between the model and observations depending on the number of ensemble elements, is also assessed and presented. The effectiveness of this method over the MVOI scheme is confirmed. The model outputs with and without assimilation are also compared with independent sea surface temperature data from ARMOR 3d.
About the authors
M. N. Kaurkin
Institute of Numerical Mathematics; P.P. Shirshov Institute of Oceanology; Hydrometcentre of Russia
Author for correspondence.
Email: kaurkinmn@gmail.com
Russian Federation, Moscow; Moscow; Moscow
R. A. Ibrayev
Institute of Numerical Mathematics; P.P. Shirshov Institute of Oceanology; Hydrometcentre of Russia; Moscow Institute of Physics and Technology (State University)
Email: kaurkinmn@gmail.com
Russian Federation, Moscow; Moscow; Moscow; Dolgoprudny, Moscow Region
K. P. Belyaev
P.P. Shirshov Institute of Oceanology; Dorodnicyn Computing Center
Email: kaurkinmn@gmail.com
Russian Federation, Moscow; Moscow
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