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Statistical Downscaling And Bias Correction For Climate Research

Statistical Downscaling And Bias Correction For Climate Research - Widmann, Martin (university Of Birmingham); Maraun, Douglas (karl-franzens-universitat Graz, Austria) - ISBN: 9781107066052
Prijs: € 67,30
Levertijd: 8 tot 12 werkdagen
Bindwijze: Boek, Gebonden
Genre: Meteorologie en fysische oceanografie
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Beschrijving

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

Details

Titel: Statistical Downscaling And Bias Correction For Climate Research
auteur: Widmann, Martin (university Of Birmingham); Maraun, Douglas (karl-franzens-universitat Graz, Austria)
Mediatype: Boek
Bindwijze: Gebonden
Taal: Engels
Aantal pagina's: 360
Uitgever: Cambridge University Press
Plaats van publicatie: 03
NUR: Meteorologie en fysische oceanografie
Afmetingen: 253 x 178 x 21
Gewicht: 880 gr
ISBN/ISBN13: 9781107066052
Intern nummer: 39550673

Biografie (woord)

Martin Widmann is a senior lecturer and climate scientist in the School of Geography, Earth and Environmental Sciences at the University of Birmingham. His current main research area is regional climate change, in particular the development and validation of statistical downscaling methods. He was one of the first to apply bias correction in a climate change context, and recently co-chaired the VALUE network. His other field of research is past climates, in particular the development of data assimilation methods to combine climate simulations with empirical knowledge from proxy data.

Inhoudsopgave

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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