Douglas Maraun

Statistical Downscaling and Bias Correction for Climate Research (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 18. Januar 2018
• Englisch
• ISBN-13: 9781108340649
• Artikelnr.: 50926497

Autorenporträt

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.

Inhaltsangabe

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.