Seon Ki Park, Milija Zupanski

Principles of Data Assimilation (eBook, PDF)

• Format: PDF

Produktbeschreibung

A unique combination of both theoretical and practical aspects of data assimilation with examples and exercises for students.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 29. September 2022
• Englisch
• ISBN-13: 9781108934848
• Artikelnr.: 70913009

Autorenporträt

Seon Ki Park is Professor of Meteorology at Ewha Womans University, Seoul, Korea. His research focuses on storm-scale to meso-scale analysis, parameter estimation, and data assimilation to improve numerical weather and climate prediction. He co-edited a series of four volumes titled Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (2009, 2013, 2017, 2021).

Inhaltsangabe

Part I. General Background: 1. Data assimilation: general background
2. Probability and Bayesian approach
3. Filters and smoothers
Part I.: Practical Tools: 4. Tangent linear and adjoint model
5. Automatic differentiation
6. Numerical minimization process
Part III. Methods and Issues: 7. Variational data assimilation
8. Ensemble and hybrid data assimilation
9. Coupled data assimilation
10. Dynamics and data assimilation
Part IV. Applications: 11. Sensitivity analysis and adaptive observation
12. Satellite data assimilation
Index.