Modern approaches to data assimilation in ocean modeling /
The field of oceanographic data assimilation is now well established. The main area of concern of oceanographic data assimilation is the necessity for systematic model improvement and ocean state estimation. In this respect, the book presents the newest, innovative applications combining the most so...
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| Format: | eBook |
| Language: | English |
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Amsterdam ; New York :
Elsevier,
[1996]
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| Series: | Elsevier oceanography series ;
61. |
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Cover; Contents; Preface; List of Contributors; Part 1: Introduction; Chapter 1. The Oceanographic Data Assimilation Problem: Overview, Motivation and Purposes; Part 2: Models and Data; Chapter 2. Recent Developments in Prognostic Ocean Modeling; Chapter 3. Oceanographic Data for Parameter Estimation; Chapter 4. A Case Study of the Effects of Errors in Satellite Altimetry on Data Assimilation; Chapter 5. Ocean Acoustic Tomography: Integral Data and Ocean Models; Part 3: Global Applications.
- Chapter 6. Combining Data and a Global Primitive Equation Ocean General Circulation Model using the Adjoint MethodChapter 7. Data Assimilation Methods for Ocean Tides; Chapter 8. Global Ocean Data Assimilation System; Part 4: Tropical Ocean Applications; Chapter 9. Tropical Data Assimilation: Theoretical Aspects; Chapter 10. Data Assimilation in Support of Tropical Ocean Circulation Studies; Chapter 11. Ocean Data Assimilation as a Component of a Climate Forecast System; Part 5: Regional Applications.
- Chapter 12. A Methodology for the Construction of a Hierarchy of Kalman Filters for Nonlinear Primitive Equation ModelsChapter 13. Data Assimilation in a North Pacific Ocean Monitoring and Prediction System; Chapter 14. Towards an Operational Nowcast/Forecast System for the U.S. East Coast; Chapter 15. Real-time Regional Forecasting; Part 6: Interdisciplinary Applications; Chapter 16. An Interdisciplinary Ocean Prediction System: Assimilation Strategies and Structured Data Models; Index.