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Statistical Downscaling and Bias Correction for Climate Research Vital Source e-bog
Douglas Maraun
(2018)
Cambridge University Press
751,00 kr.
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Statistical Downscaling and Bias Correction for Climate Research
Douglas Maraun og Martin Widmann
(2018)
Sprog: Engelsk
Cambridge University Press
765,00 kr.
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Detaljer om varen
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: Cambridge University Press (Januar 2018)
- ISBN: 9781108340304
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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Bookshelf online: 5 år fra købsdato.
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Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: -1 sider kan printes ad gangen
Copy: højest -1 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Hardback: 360 sider
- Udgiver: Cambridge University Press (Januar 2018)
- Forfattere: Douglas Maraun og Martin Widmann
- ISBN: 9781107066052
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.
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.
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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