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Empirical-Statistical Downscaling cover
IMPORTANT!
This ebook can only be accessed online and cannot be downloaded. See further usage restrictions.

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.

Sample Chapter(s)
Chapter 1: Introduction (1,529 KB)
Chapter 2: Downscaling Strategies (513 KB)
Chapter 3: Predictors And Preprocessing (1,076 KB)

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Contents:
  • Downscaling Strategies
  • Predictors and Preprocessing
  • Linear Techniques
  • Nonlinear 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.