Statistical Downscaling and Bias Correction for Climate Research. Questo articolo non è disponibile.
Lingua: inglese
Editore: Cambridge University Press, 2018
- Rilegato
- Nuovo

Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Venditore AbeBooks dal 14 agosto 2006
Condizione: Nuovo
EUR 63,00
Descrizione dell’articolo da parte del venditore
Druck auf Anfrage Neuware - Printed after ordering - 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.…
Codice articolo 9781107066052
- Titolo
- Statistical Downscaling and Bias Correction for Climate Research
- Autore
- Douglas Maraun
- Editore
- Cambridge University Press
- Anno di pubblicazione
- 2018
- Condizione
- Neu
- Rilegatura
- Buch
- Lingua
- inglese
- ISBN 10
- 1107066050
- ISBN 13
- 9781107066052
- Peso dell'articolo
- 807 grammi
- Dimensioni
- 250x175x24 mm
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Informazioni sull’autore
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.
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