Based on over twenty years of teaching courses in data assimilation, this textbook is for advanced students and early career researchers in meteorology, oceanography, hydrology, environmental science, and atmospheric science. It offers a new perspective on data assimilation based on a unique combination of practical and theoretical aspects.
Based on over twenty years of teaching courses in data assimilation, this textbook is for advanced students and early career researchers in meteorology, oceanography, hydrology, environmental science, and atmospheric science. It offers a new perspective on data assimilation based on a unique combination of practical and theoretical aspects.
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.
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.
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