Statistical downscaling and bias correction for climate research / Douglas Maraun, Martin Widmann.
Publisher: Cambridge, United Kingdom ; New York, NY ; Port Melbourne, VIC ; New Delhi, India ; Singapore : Cambridge University Press, 2018Copyright date: �2018Description: xvi, 347 pages : illustrations, maps, charts ; 26 cmContent type:- text
- still image
- unmediated
- volume
- 9781107066052
- 1107066050
- 551.6015118 23
- QC903 .M37 2018
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
BOOK
|
NCAR Library Mesa Lab | QC903 .M37 2018 | 1 | Checked out | 07/01/2024 | 50583020007328 |
Includes bibliographical references (pages [303]-341) and index.
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.
"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"--back cover.