A comprehensive and practical guide, providing technical background and user context for researchers, graduate students, practitioners and decision makers.
A comprehensive and practical guide, providing technical background and user context for researchers, graduate students, practitioners and decision makers.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
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.
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