Inverse Problems in Atmospheric Constituent Transport
1st Edition
Published on 2. December 2004
978-0-511-05824-0 (ISBN)
Description
The critical role of trace gases in global atmospheric change makes an improved understanding of these gases imperative. Measurements of the distributions of these gases in space and time provide important information, but the interpretation of this information often involves ill-conditioned model inversions. A variety of techniques have therefore been developed to analyze these problems. Inverse Problems in Atmospheric Constituent Transport is the first book to give comprehensive coverage of work on this topic. The trace gas inversion problem is presented in general terms and the various different approaches are unified by treating the inversion problem as one of statistical estimation. Later chapters demonstrate the application of these methods to studies of carbon dioxide, methane, halocarbons and other gases implicated in global climate change. This book is aimed at graduate students and researchers embarking upon studies of global atmospheric change, biogeochemical cycles and Earth systems science.
More details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Publishing group
Cambridge University Press
Target group
Professional and scholarly
Illustrations
12 Tables, unspecified; 54 Line drawings, unspecified
File size
3,13 MB
ISBN-13
978-0-511-05824-0 (9780511058240)
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Schweitzer Classification
Other editions
Additional editions
Book
08/2005
Cambridge University Press
€109.50
Shipment within 15-20 days
Book
06/2002
Cambridge University Press
€225.80
Shipment within 15-20 days
Person
Ian Enting is a senior principal research scientist at CSIRO Atmospheric Research, Aspendale, Victoria, Australia where he heads the greenhouse gas modelling team.
Content
Part I. Principles: 1. Introduction; 2. Atmospheric transport and transport models; 3. Estimation; 4. Time series estimation; 5. Observations of atmospheric composition; 6. The sources and sinks; 7. Problem formulation; 8. Ill-conditioning; 9. Analysis of model error; 10. Green's functions and synthesis inversion; 11. Time-stepping inversions; 12. Non-linear inversion techniques; 13. Experimental design; Part II. Recent Applications: 14. Global carbon dioxide; 15. Global methane; 16. Halocarbons and other global-scale studies; 17. Regional inversions; 18. Constraining atmospheric transport; 19. Conclusions; References; Appendix A. Notation; Appendix B. Numerical data; Appendix C. Abbreviations and acronyms; Appendix D. Glossary; Appendix E. Data source acknowledgements; Problems.
