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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 |
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