Data Assimilation for the Geosciences: From Theory to Application

Author:   Steven J. Fletcher (Research Scientist III, Cooperative Institute for Research in the Atmosphere (CIRA), Colorado State University – Fort Collins, Colorado, USA)
Publisher:   Elsevier - Health Sciences Division
Edition:   2nd edition
ISBN:  

9780323917209


Pages:   1128
Publication Date:   18 November 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Data Assimilation for the Geosciences: From Theory to Application


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Author:   Steven J. Fletcher (Research Scientist III, Cooperative Institute for Research in the Atmosphere (CIRA), Colorado State University – Fort Collins, Colorado, USA)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Elsevier - Health Sciences Division
Edition:   2nd edition
Weight:   2.200kg
ISBN:  

9780323917209


ISBN 10:   0323917208
Pages:   1128
Publication Date:   18 November 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction 2. Overview of Linear Algebra 3. Univariate Distribution Theory 4. Multivariate Distribution Theory 5. Introduction to Calculus of Variation 6. Introduction to Control Theory 7. Optimal Control Theory 8. Numerical Solutions to Initial Value Problems 9. Numerical Solutions to Boundary Value Problems 10. Introduction to Semi-Lagrangian Advection Methods 11. Introduction to Finite Element Modeling 12. Numerical Modeling on the Sphere 13. Tangent Linear Modeling and Adjoints 14. Observations 15. Non-variational Sequential Data Assimilation Methods 16. Variational Data Assimilation 17. Subcomponents of Variational Data Assimilation 18. Observation Space Variational Data Assimilation Methods 19. Kalman Filter and Smoother 20. Ensemble-Based Data Assimilation 21. Non-Gaussian Variational Data Assimilation 22. Markov Chain Monte Carlo and Particle Filter Methods 23. Machine Learning Artificial Intelligence with Data Assimilation 24. Applications of Data Assimilation in the Geosciences 25. Solutions to Select Exercise

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Steven J. Fletcher is a Research Scientist III at the Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University, where he is the lead scientist on the development of non-Gaussian based data assimilation theory for variational, PSAS, and hybrid systems. He has worked extensively with the Naval Research Laboratory in Monterey in development of their data assimilation system, as well as working with the National Atmospheric and Oceanic Administration (NOAA)’s Environmental Prediction Centers (EMC) data assimilation system. Dr. Fletcher is extensively involved with the American Geophysical Union (AGU)’s Fall meeting planning committee, having served on the committee since 2013 as the representative of the Nonlinear Geophysics section. He has also been the lead organizer and science program committee member for the Joint Center for Satellite Data Assimilation Summer Colloquium on Satellite Data Assimilation since 2016. Dr. Fletcher is the author of Data Assimilation for the Geosciences: From Theory to Application (Elsevier, 2017). In 2017 Dr. Fletcher became a fellow of the Royal Meteorological Society.

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