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Record Nr. |
UNINA9910254131903321 |
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Autore |
Ismail-Zadeh Alik |
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Titolo |
Data-Driven Numerical Modelling in Geodynamics: Methods and Applications / / by Alik Ismail-Zadeh, Alexander Korotkii, Igor Tsepelev |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (113 p.) |
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Collana |
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SpringerBriefs in Earth Sciences, , 2191-5369 |
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Disciplina |
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Soggetti |
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Geophysics |
Fossil fuels |
Natural disasters |
Numerical analysis |
Geophysics/Geodesy |
Fossil Fuels (incl. Carbon Capture) |
Natural Hazards |
Numerical Analysis |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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Preface -- Introduction -- Backward advection method and application to salt tectonics -- Variational method and its application to mantle plume evolution -- Application of the VAR method to volcanic lava dynamics -- Quasi-reversibility method and its applications -- Application of the QRV method to reconstruction of plate subduction -- Comparison of data assimilation methods for mantle convection models. |
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Sommario/riassunto |
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This book describes the methods and numerical approaches for data assimilation in geodynamical models and presents several applications of the described methodology in relevant case studies. The book starts with a brief overview of the basic principles in data-driven geodynamic modelling, inverse problems, and data assimilation methods, which is then followed by methodological chapters on backward advection, variational (or adjoint), and quasi-reversibility methods. The chapters are accompanied by case studies presenting the applicability of the |
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