ARGO Data Assimilation into the Ocean Dynamics Model with High Spatial Resolution Using Ensemble Optimal Interpolation (EnOI)
M. N. Kaurkina, b, c , R. A. Ibrayeva, b, c, d , and K. P. Belyaevb, e
Translated by A. Carpenter
aInstitute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia
bP.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia
cHydrometcentre of Russia, Moscow, Russia
dMoscow Institute of Physics and Technology (State University), Dolgoprudny, Moscow Region, Russia
eDorodnicyn Computing Center, Russian Academy of Sciences, Moscow, Russia
Correspondence to: e-mail: kaurkinmn@gmail.com
Received 27 June, 2016
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.
DOI: 10.1134/S0001437016060059