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Article information
2002 , Volume 7, Special issue, p.141-146
Tsvetova E.A., Penenko V.V.
Fast data assimilation for atmospheric and oceanic studies
Some aspects of the increase in efficiency of the joint use of models and measured data for reconstruction of the of multy-dimensional fields of the state function are discussed. In particular, the procedure is proposed to construct the fast data assimilation algorithms based on variational principle and splitting techniques. Such algorithms are more economically attractive then those of adjoint functions and Kalman filtering. As soon as the data come, they are assimilated by the algorithms. Besides, the algorithms admit to input the expeditious changes in the goal functionals taking into account the set of current measurements. In this case, just slight modification of the basic model algorithm is needed.
Classificator Msc2000:- *76M30 Variational methods
- 86A10 Meteorology and atmospheric physics
Keywords: Lagrange multiplier, goal functional, atmospheric circulation
Author(s):
Tsvetova Elena Aleksandrovna
PhD.
Position: Senior Research Scientist
Address: 630090, Russia, Novosibirsk
Phone Office: (383) 330 71 52
E-mail: E.Tsvetova@ommgp.sscc.ru
Penenko Vladimir Viktorovich
Dr. , Professor
Position: Head of Laboratory
Office: Institute of Computational Mathematics and Mathematical Geophysics of the Siberian Branch of RAS
Address: 630090, Russia, Novosibirsk, prospect Akademika Lavrentjeva, 6
Phone Office: (383) 330 61 52
E-mail: penenko@sscc.ru
Bibliography link:
Tsvetova E.A., Penenko V.V. Fast data assimilation for atmospheric and oceanic studies // Computational technologies. 2002. V. 7. Special issue. P. 141-146
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