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)
Request Inspection Copy
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.
R E Benestad, a physicist by training, is affiliated with the Norwegian Meteorological Institute (met.no). He has a D.Phil in physics from Atmospheric, Oceanic & Planetary Physics at Oxford University (UK), a MS in physics from New Mexico Institute of Mining and Technology (USA), and a BSc hons in Physics and Electronics from University of Manchester Institute of Science and Technology (UK). Recent work involve statistics (empirical–statistical downscaling, trend analysis, model validation, extremes and record values), but he also has work experience in other fields such as cloud micro–physics, ocean dynamics/air-sea processes, solar-climate relations, and seasonal forecasting.
I Hanssen-Bauer is a meteorologist by training, and leads the Climate Research Section at the Norwegian Meteorological Institute (met.no). She has a Dr Scient in meteorology from the University in Bergen, Norway. Recent work involves analyses of historical meteorological observations as well as empirical–statistical downscaling of future climate scenarios in Norway and in the Arctic.
Dr Deliang Chen holds the August Röhss Chair in Physical Geography directed towards Geoinformatics and has also been professor in Physical Meteorology since 2000 at University of Gothenburg in Sweden. He served as Director of Gothenburg Atmospheric Science Centre and Science Director of Beijing Climate Center. In addition, he is the founder and leader of the Regional Climate Group University of Gothenburg.