Free PDF Empirical-Statistical Downscaling, by Rasmus E Benestad, Inger Hanssen-Bauer, Deliang Chen
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Empirical-Statistical Downscaling, by Rasmus E Benestad, Inger Hanssen-Bauer, Deliang Chen
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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 Preprocessing; Linear Techniques; Nonlinear Techniques; Predictions and Diagnostics; Shortcomings and Limitations; Reducing Uncertainties; Downscaling Extremes and PDFs; Weather Generator; Implementing ESD.
- Sales Rank: #4877683 in Books
- Published on: 2008-09-23
- Original language: English
- Number of items: 1
- Dimensions: 9.10" h x .90" w x 6.20" l, 1.20 pounds
- Binding: Hardcover
- 228 pages
Most helpful customer reviews
0 of 1 people found the following review helpful.
Five Stars
By Dasang Ko
good
0 of 0 people found the following review helpful.
Good monograph on statistical downscaling
By AJ
This is a good monograph on statistical downscaling. Its origin as lecture notes to a short-course on the subject is fairly evident, as it doesn't quite come together like a really stellar textbook. The references focus on European research, which isn't a drawback as such, but it does mean that some important research from North America and Asia is not mentioned. Minor typographical and grammatical errors are present, but these don't generally detract from the flow too much. The inclusion of R code snippets to demonstrate the concepts is a nice touch.
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