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    DATA ASSIMILATION FUNDAMENTALS

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    This open-access textbook's significant contribution is the unified derivation of data-assimilation techniques from a common fundamental and optimal starting point, namely Bayes' theorem. Unique for this book is the "top-down" derivation of the assimilation methods. It starts from Bayes theorem and gradually introduces the assumptions and approximations needed to arrive at today's popular data-assimilation methods. This strategy is the opposite of most textbooks and reviews on data assimilation that typically take a bottom-up approach to derive a particular assimilation method. E.g., the derivation of the Kalman Filter from control theory and the derivation of the ensemble Kalman Filter as a low-rank approximation of the standard Kalman Filter. The bottom-up approach derives the assimilation methods from different mathematical principles, making it difficult to compare them. Thus, it is unclear which assumptions are made to derive an assimilation method and sometimes even which problem it aspires to solve. The book's top-down approach allows categorizing data-assimilation methods based on the approximations used. This approach enables the user to choose the most suitable method for a particular problem or application. Have you ever wondered about the difference between the ensemble 4DVar and the "ensemble randomized likelihood" (EnRML) methods? Do you know the differences between the ensemble smoother and the ensemble-Kalman smoother? Would you like to understand how a particle flow is related to a particle filter? In this book, we will provide clear answers to several such questions. The book provides the basis for an advanced course in data assimilation. It focuses on the unified derivation of the methods and illustrates their properties on multiple examples. It is suitable for graduate students, post-docs, scientists, and practitioners working in data assimilation.

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    ISBN9783030967116
    SubtítuloA UNIFIED FORMULATION OF THE STATE AND PARAMETER ESTIMATION PROBLEM
    Pré vendaNão
    Peso368g
    Autor para link
    Livro disponível - pronta entregaNão
    Dimensões9.25 x 6.1 x 1
    IdiomaInglês
    Tipo itemLIVRO IMPORTADO ADQ MERC INTERNO
    Número de páginas628
    Número da edição1ª EDIÇÃO - 2022
    Código Interno1105071
    Código de barras9783030967116
    AcabamentoPAPERBACK
    AutorEVENSEN, GEIR | VOSSEPOEL, FEMKE C. | LEEUWEN, PETER JAN VAN
    EditoraSPRINGER
    Sob encomendaSim

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