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| Estimation of the optimal interpolation parameters in a quasi-geostrophic model of the Northeast Atlantic using ensemble methods Etienne, H.; Dombrowsky, E. (2003). Estimation of the optimal interpolation parameters in a quasi-geostrophic model of the Northeast Atlantic using ensemble methods. J. Mar. Syst. 40-41: 317-339. https://dx.doi.org/10.1016/S0924-7963(03)00023-X
In: Journal of Marine Systems. Elsevier: Tokyo; Oxford; New York; Amsterdam. ISSN 0924-7963; e-ISSN 1879-1573
Ook verschenen in: Grégoire, M.; Brasseur, P.; Lermusiaux, P.F.J. (Ed.) (2003). The use of data assimilation in coupled hydrodynamic, ecological and bio-geo-chemical models of the ocean. Selected papers from the 33rd International Liege Colloquium on Ocean Dynamics, held in Liege, Belgium on May 7-11th, 2001. Journal of Marine Systems, 40-41. Elsevier: Amsterdam. 1-406 pp., meer
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| Abstract |
Tests on six different initial ensembles of 140 members, integrated over 35 days, have been performed to correctly determine characteristics of the initial condition statistics. We can clearly show the strong correlation between local dynamics and spatial repartition of the error growth, which concentrates on the most energetic regions. Some interannual variability patterns can also be found. This leads to the computation of a new ensemble, with statistics consistent with what is observed in the previous experiments. Time propagation of the initial condition error variance, the C matrix and its parameters are estimated. It shows a northward decrease of the error correlation radii and a westward propagation of the errors. There is an interannual and spatial variation of C, on the contrary to what is stated in the SOPRANE ROOI scheme. Moreover, the increase error variance in time is also correlated with the dynamics. |
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