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- W2771784105 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." @default.
- W2771784105 created "2017-12-22" @default.
- W2771784105 creator A5006122704 @default.
- W2771784105 date "2017-11-30" @default.
- W2771784105 modified "2023-09-26" @default.
- W2771784105 title "Variational methods for predicting climate-environmental processes with assimilation of observational data" @default.
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- W2771784105 doi "https://doi.org/10.1117/12.2287115" @default.
- W2771784105 hasPublicationYear "2017" @default.
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