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    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)

    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
     
    Readership: Graduate students, academics and researchers in the field of climatology, geography and hydrology.
     
     
    228pp    Pub. date: Sep 2008  
    ISBN:   978-981-281-912-3
    981-281-912-6
       US$61 / £36

     


     

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    Updated on 3 July 2009