EMPIRICAL-STATISTICAL DOWNSCALING
by Rasmus E Benestad (The Norwegian Meteorological Institute, Norway), Inger Hanssen-Bauer (The Norwegian Meteorological Institute, Norway),
&
Deliang Chen (University of Gothenburg, Sweden)
Table of Contents (43k)
Preface (1,026k)
Chapter 1: Introduction (5,109k)
Chapter 2: Downscaling Strategies (9,322k)
Chapter 3: Predictors And Preprocessing (2,652k)
About Rasmus E Benestad About Inger Hanssen-Bauer About Deliang Chen
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.
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