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EMPIRICAL-STATISTICAL DOWNSCALING

by Rasmus E Benestad, Inger Hanssen-Bauer (The Norwegian Meteorological Institute, Norway) & Deliang Chen (University of Gothenburg, Sweden)

Empirical-statistical downscaling (ESD) is a method for estimating how local climatic variables are affected by large-scale climatic conditions. ESD has been applied to local climate/weather studies for years, but there are few — if any — textbooks on the subject. It is also anticipated that ESD will become more important and commonplace in the future, as anthropogenic global warming proceeds. Thus, a textbook on ESD will be important for next-generation climate scientists.


Contents:

  • Downscaling Strategies
  • Predictors and Pre-processing
  • Linear Techniques
  • Non-linear Techniques
  • Predictions and Diagnostics
  • Shortcomings and Limitations
  • Reducing Uncertainties
  • Downscaling Extremes and PDFs
  • Weather Generator
  • Implementing ESD


Readership: Graduate students, academics and researchers in the field of climatology, geography and hydrology.

300pp (approx.) Pub. date: Scheduled Fall 2008
ISBN 978-981-281-912-3
981-281-912-6
US$68 / £37
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Copyright © 2008 World Scientific Publishing Co. All rights reserved.
Updated on 9 May 2008