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
2 INM-RAS - Institute of Numerical Mathematics [Moscou]
3 Hydrometeorological Research Center of the Russian Federation [Moscow]

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.

Mots clés: long-range weather forecasting; Variational data assimilation; boundary conditions; ocean model

Domaines: Physique Atmosphérique et Océanique [physics.ao-ph]; Optimisation et contrôle [math.OC]

Christine Kazantsev, Eugene Kazantsev, Mikhail Tolstykh. Variational Data Assimilation for Optimizing Boundary Conditions in Ocean Models. Meteorologiya i Gidrologiya / Russian Meteorology and Hydrology, 2015, 40 (6), pp.383-391. ⟨10.3103/S1068373915060047⟩. ⟨hal-01251353⟩