Description:
This book presents statistical downscaling techniques in a practical manner so that readers can easily adopt the techniques for hydrological applications and designs in response to climate change. It also provides numerous examples and background information on reliability of impact assessments of climate change and what the results imply.
Review Quotes:
Statistical downscaling helps to obtain the required resolutions of hydrological variables. The book of Taesam Lee and Vijay P. Singh fills an important gap as to my knowledge no dedicated treatises on this particular topic are available so far.
I find this book especially helpful for hydrological modelers who want to examine how to handle the scaling of hydrological events such as extreme rainfall, floods, and droughts at the local, watershed level. In addition, honours-level undergraduates with a decent grounding in environmental science should find the material accessible, and modern in its coverage of topics such as how to properly correct for significant biases with the observational data normally found in current Global Climate Models (GCMs). Especially the numerous tables with example data help to apply the methods to simple exercises. However, for easier access to the practical examples the tables should have been made available online. With the diverse applications of statistical downscaling methods the readers´ awareness of these scaling techniques on environmental simulation results is raised. It will be useful to researchers in hydrology, hydroclimatology, agricultural and environmental sciences, and watershed management.
-- Vadose Zone Journal, January 2019