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Inverse Problems in Atmospheric Constituent Transport

$88.00 USD

Part of Cambridge Atmospheric and Space Science Series

  • Author: I. G. Enting, Division Atmospheric Research CSIRO, Australia
  • Date Published: December 2004
  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9780511058240

$ 88.00 USD
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About the Authors
  • 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.

    • The subject area is very topical given the current global climate change debate
    • This is the first book to comprehensively cover this area
    • Ian Enting is one of the world's leading experts on this subject
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    Product details

    • Date Published: December 2004
    • format: Adobe eBook Reader
    • isbn: 9780511058240
    • contains: 54 b/w illus. 12 tables
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • 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.

  • Author

    I. G. Enting, Division Atmospheric Research CSIRO, Australia
    Ian Enting is a senior principal research scientist at CSIRO Atmospheric Research, Aspendale, Victoria, Australia where he heads the greenhouse gas modelling team.

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