Inverse Methods in Physical Oceanography
Part of Cambridge Monographs on Mechanics
- Author: Andrew F. Bennett, College of Oceanic and Atmospheric Sciences, Oregon State University
- Date Published: March 2008
- availability: Available
- format: Paperback
- isbn: 9780521055284
Paperback
Other available formats:
Hardback, eBook
Looking for an inspection copy?
This title is not currently available on inspection
-
Observations of ocean circulation have increased as a result of international field programmes and of remote sensing systems on artificial earth satellites. Oceanographers are increasingly turning to inverse methods for combining these observations with numerical models of ocean circulation. Professor Bennett's work explores the potential for inverse theory, emphasizing possibilities rather than expedient or rudimentary applications. In addition to interpolating the data and adding realism to the model solutions, the methods can yield estimates for unobserved flow variables, forcing fields, and model parameters. Inverse formulations can resolve ill-posed modelling problems, lead to design criteria for oceanic observing systems, and enable the testing of models as scientific hypothesis. Exercises of varying difficulty rehearse technical skills and supplement the central theoretical development. Thus this book will be invaluable for environmental scientists and engineers, advanced undergraduates in applied mathematics, and graduate students in physical oceanography.
Read more- Rigorous mathematical treatment of the subject
- Well-respected author
- Covers important topics in both oceanography and meteorology
Reviews & endorsements
'… can be warmly recommended to every reader and library.' Mitteilungen German Geophysical Society
Customer reviews
Not yet reviewed
Be the first to review
Review was not posted due to profanity
×Product details
- Date Published: March 2008
- format: Paperback
- isbn: 9780521055284
- length: 368 pages
- dimensions: 228 x 151 x 20 mm
- weight: 0.553kg
- contains: 102 b/w illus. 9 tables
- availability: Available
Table of Contents
Preface
1. Finite-dimensional inverse theory
2. The smoothing of observations
3. Data assimilation
4. The spatial structure of the Kalman filter
5. Generalized inverses of dynamical models
6. Antenna analysis
7. Nonlinear quasi-geostrophic models
8. Open-ocean modeling: quasi-geostrophy
9. Primitive-equation models
10. Outstanding problems
Bibliography
Subject index.-
General Resources
Find resources associated with this title
Type Name Unlocked * Format Size Showing of
This title is supported by one or more locked resources. Access to locked resources is granted exclusively by Cambridge University Press to lecturers whose faculty status has been verified. To gain access to locked resources, lecturers should sign in to or register for a Cambridge user account.
Please use locked resources responsibly and exercise your professional discretion when choosing how you share these materials with your students. Other lecturers may wish to use locked resources for assessment purposes and their usefulness is undermined when the source files (for example, solution manuals or test banks) are shared online or via social networks.
Supplementary resources are subject to copyright. Lecturers are permitted to view, print or download these resources for use in their teaching, but may not change them or use them for commercial gain.
If you are having problems accessing these resources please contact lecturers@cambridge.org.
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org
Register Sign in» Proceed
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.
Continue ×Are you sure you want to delete your account?
This cannot be undone.
Thank you for your feedback which will help us improve our service.
If you requested a response, we will make sure to get back to you shortly.
×