This book presents a collection of articles concerning key topics which examine the impacts of climate change and variability on agriculture. The application region is the southeastern United States. The main topics include an investigation of the effect of variations in the spatial scale of climate change scenarios on an agricultural integrated assessment, methods of simulating adaptations of climate change, and the relationship between large scale climate variability and local climate and vegetation. This book will be very useful for researchers and policy makers involved in climate change impacts.

Downscaling is a widely used technique for translating information from large-scale climate models to the spatial and temporal scales needed to assess local and regional climate impacts, vulnerability, risk and resilience. This book is a comprehensive guide to the downscaling techniques used for climate data. A general introduction of the science of climate modeling is followed by a discussion of techniques, models and methodologies used for producing downscaled projections, and the advantages, disadvantages and uncertainties of each. The book provides detailed information on dynamic and statistical downscaling techniques in non-technical language, as well as recommendations for selecting suitable downscaled datasets for different applications. The use of downscaled climate data in national and international assessments is also discussed using global examples. This is a practical guide for graduate students and researchers working on climate impacts and adaptation, as well as for policy makers and practitioners interested in climate risk and resilience.