30 November 2017 Variational methods for predicting climate-environmental processes with assimilation of observational data
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Proceedings Volume 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 104665Q (2017) https://doi.org/10.1117/12.2287115
Event: XXIII International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2017, Irkutsk, Russian Federation
Abstract
Prospective issues of the organization of modeling technology for studying climatic and environmental processes and solving practical problems are discussed. We study the problems of predictability analysis and uncertainty estimates. To this goal, the combination of process models and observational data is carried out within the framework of the variational principle with weak constraints. This makes it possible to obtain the direct non-iterative algorithms for estimating the state and uncertainty functions.
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Vladimir V. Penenko, "Variational methods for predicting climate-environmental processes with assimilation of observational data", Proc. SPIE 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 104665Q (30 November 2017); doi: 10.1117/12.2287115; https://doi.org/10.1117/12.2287115
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