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Statistical Downscaling and Bias Correction for Climate Research


Award Winner
  • Date Published: January 2018
  • availability: In stock
  • format: Hardback
  • isbn: 9781107066052

£ 49.99

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About the Authors
  • Statistical downscaling and bias correction are becoming standard tools in climate impact studies. This book provides a comprehensive reference to widely-used approaches, and additionally covers the relevant user context and technical background, as well as a synthesis and guidelines for practitioners. It presents the main approaches including statistical downscaling, bias correction and weather generators, along with their underlying assumptions, skill and limitations. Relevant background information on user needs and observational and climate model uncertainties is complemented by concise introductions to the most important concepts in statistical and dynamical modelling. A substantial part is dedicated to the evaluation of regional climate projections and their value in different user contexts. Detailed guidelines for the application of downscaling and the use of downscaled information in practice complete the volume. Its modular approach makes the book accessible for developers and practitioners, graduate students and experienced researchers, as well as impact modellers and decision makers.

    • Includes a list of useful online resources such as data sets and software packages to assist in practical applications
    • Provides practical guidelines on choosing downscaling and bias correction methods to enable best-practise in real applications
    • The presentation makes the material easily accessible to different audiences, highlighting issues of relevance to downscalers, impact modellers, climate service providers and decision makers
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    • Winner, 2019 PROSE Award for Environmental Science

    Reviews & endorsements

    'This book provides an invaluable reference for anyone involved in developing or using local and regional projections to quantify climate change impacts. As climate model output becomes increasingly accessible and open source code for downscaling is shared by the research community, the selection of methods and data to use for a local climate impacts analysis becomes more complex. This reference provides comprehensive guidance for those developing improved downscaling approaches, applying existing methods, or using data generated by others. The authors keep a clear focus on quantifying the uncertainties involved in each step of a downscaling process, and highlighting opportunities to ultimately produce more skilful information for decision-makers challenged with responding to climate change impacts.' Ed Maurer, Santa Clara University, California

    'A large variety of statistical downscaling and bias correction methods are used for connecting climate change with impact assessments. The new book by D. Maraun and M. Widmann provides a very useful overview of the methods and topics involved and gives guidance for future users. The demand for downscaled information is rapidly growing and this book helps with understanding assets and drawbacks.' Daniela Jacob, Climate Service Center Germany (GERICS), Hamburg

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    Product details

    • Date Published: January 2018
    • format: Hardback
    • isbn: 9781107066052
    • length: 360 pages
    • dimensions: 253 x 178 x 21 mm
    • weight: 0.88kg
    • contains: 81 b/w illus. 6 tables
    • availability: In stock
  • Table of Contents

    1. Introduction
    Part I. Background and Fundamentals:
    2. Regional climate
    3. History of downscaling
    4. Rationale of downscaling
    5. User needs
    6. Mathematical and statistical methods
    7. Reference observations
    8. Climate modelling
    9. Uncertainties
    Part II. Statistical Downscaling Concepts and Methods:
    10. Structure of statistical downscaling methods
    11. Perfect prognosis
    12. Model output statistics
    13. Weather generators
    14. Other approaches
    Part III. Downscaling in Practice and Outlook:
    15. Evaluation
    16. Performance of statistical downscaling
    17. A regional modelling debate
    18. Use of downscaling in practice
    19. Outlook
    Appendix A. Methods used in this book
    Appendix B. Useful resources

  • Authors

    Douglas Maraun, Karl-Franzens-Universität Graz, Austria
    Douglas Maraun is an associate professor and Head of the Regional Climate Modelling Group at the Wegener Center for Climate and Global Change at the Karl-Franzens-Universität Graz, Austria. His research interests include the processes governing local extreme events, assessing uncertainties of regional climate projections, and statistical post-processing of climate simulations for adaptation planning. He chaired the VALUE network which carried out the most comprehensive inter-comparison and evaluation of different downscaling approaches, and is involved in steering activities of the international downscaling initiative CORDEX.

    Martin Widmann, University of Birmingham
    Martin Widmann is a senior lecturer and climate scientist in the School of Geography, Earth and Environmental Sciences at the University of Birmingham. His current main research area is regional climate change, in particular the development and validation of statistical downscaling methods. He was one of the first to apply bias correction in a climate change context, and recently co-chaired the VALUE network. His other field of research is past climates, in particular the development of data assimilation methods to combine climate simulations with empirical knowledge from proxy data.


    • Winner, 2019 PROSE Award for Environmental Science

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