ARGO data assimilation into the ocean dynamics model with high spatial resolution using Ensemble Optimal Interpolation (EnOI)
- Авторлар: Kaurkin M.N.1,2,3, Ibrayev R.A.1,2,3,4, Belyaev K.P.2,5
- 
							Мекемелер: 
							- Institute of Numerical Mathematics
- P.P. Shirshov Institute of Oceanology
- Hydrometcentre of Russia
- Moscow Institute of Physics and Technology (State University)
- Dorodnicyn Computing Center
 
- Шығарылым: Том 56, № 6 (2016)
- Беттер: 774-781
- Бөлім: Marine Physics
- URL: https://journals.rcsi.science/0001-4370/article/view/149294
- DOI: https://doi.org/10.1134/S0001437016060059
- ID: 149294
Дәйексөз келтіру
Аннотация
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.
Авторлар туралы
M. Kaurkin
Institute of Numerical Mathematics; P.P. Shirshov Institute of Oceanology; Hydrometcentre of Russia
							Хат алмасуға жауапты Автор.
							Email: kaurkinmn@gmail.com
				                					                																			                												                	Ресей, 							Moscow; Moscow; Moscow						
R. 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
				                					                																			                												                	Ресей, 							Moscow; Moscow; Moscow; Dolgoprudny, Moscow Region						
K. Belyaev
P.P. Shirshov Institute of Oceanology; Dorodnicyn Computing Center
														Email: kaurkinmn@gmail.com
				                					                																			                												                	Ресей, 							Moscow; Moscow						
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