Inverse problems in atmospheric constituent transport
Author(s)
Bibliographic Information
Inverse problems in atmospheric constituent transport
(Cambridge atmospheric and space science series)
Cambridge University Press, 2005, c2002
- : pbk
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and index
Description and Table of Contents
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.
Table of Contents
- 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.
by "Nielsen BookData"