Statistical Downscaling and Bias Correction for Climate Research

ISBN-13: 9781107066052 / Angielski / Twarda / 2018 / 360 str.

Douglas Maraun; Martin Widmann

Opis

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

Recenzje

'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

Spis treści

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.