Variational Data Assimilation for Optimizing Boundary Conditions in Ocean Models

Christine Kazantsev 1 Eugene Kazantsev 1 Mikhail Tolstykh 2, 3
1 AIRSEA - Mathematics and computing applied to oceanic and atmospheric flows
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, UJF - Université Joseph Fourier - Grenoble 1, INPG - Institut National Polytechnique de Grenoble
Abstract : The review describes the development of ideas Gury Ivanovich Marchuk in the field of variational data assimilation for ocean models applied in particular in coupled models for long-range weather forecasts. Particular attention is paid to the optimization of boundary conditions on rigid boundaries. As idealized and realistic model configurations are considered. It is shown that the optimization allows us to determine the most sensitive model operators and bring the model solution closer to the assimilated data.
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Article dans une revue
Meteorologiya i Gidrologiya / Russian Meteorology and Hydrology, Springer Verlag, 2015, 40 (6), pp.383-391. 〈http://link.springer.com/article/10.3103/S1068373915060047〉. 〈10.3103/S1068373915060047〉
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Christine Kazantsev, Eugene Kazantsev, Mikhail Tolstykh. Variational Data Assimilation for Optimizing Boundary Conditions in Ocean Models. Meteorologiya i Gidrologiya / Russian Meteorology and Hydrology, Springer Verlag, 2015, 40 (6), pp.383-391. 〈http://link.springer.com/article/10.3103/S1068373915060047〉. 〈10.3103/S1068373915060047〉. 〈hal-01251353〉

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