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Statistical Downscaling and Bias Correction for Climate Research de Douglas Maraun

Statistical Downscaling and Bias Correction for Climate Research

Autor Douglas Maraun, Martin Widmann
en Limba Engleză Hardback – 17 ian 2018
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.
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Specificații

ISBN-13: 9781107066052
ISBN-10: 1107066050
Pagini: 360
Ilustrații: 81 b/w illus. 6 tables
Dimensiuni: 178 x 253 x 21 mm
Greutate: 0.87 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:New York, United States

Cuprins

Preface; Acknowledgements; 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; References; Index.

Recenzii

'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

Notă biografică

Descriere

A comprehensive and practical guide, providing technical background and user context for researchers, graduate students, practitioners and decision makers.