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Statistical downscaling requires establishing an empirical relationship between the AOGCM output for the past record and observed climate variables of interest. This relationship is tested using a second historical evaluation period and then used to proj- ect future change across the region of interest (K. Hayhoe et al. 2010). Statistical downscaling is the approach that was used to generate the spatial data (Maurer et al. 2007) used in the Climate Wizard (Zganjar et al. 2009), which is a freely available online tool for obtaining downscaled climate projec- tions. All of the climate projections that were created specifically for this publication were developed using Climate Wizard. Climate Wizard (Zganjar et al. 2009) provides access to 16 global climate models that can be used to develop downscaled projections of climate change across North America (Figure 1 -4). Climate Wizard can show climate data for the last 50 years, includ- ing how the climate changed over time. In addition, Climate Wizard shows climate projections for years 2040 -2069 and 2070 -2099. All of these data can be downloaded and exported into a mapping or imagery program. In addition, the Southeast Regional Assess- ment Project (SERAP) is the first regional assessment to be funded by the USGS National Climate Change and Wildlife Center, and will be converting a suite of global models into regional climate projections of likely changes to the Southeast's climate and ecosys- tems. For more on these and other data resources see Appendix A. Regional, or dynamical downscaling relies on the development of a high resolution climate model built for a specific geographic location. The model is centered over the region of interest and relies on global climate model output fields at its boundaries (K. Hayhoe et al. 2010). These models, which can provide a resolution of 10 to 50 kilometers, are able i�ll d j� '"W IF wy C 5 v iifii 0# wuw�V 6 kt? Nas N&U Ee m°mruu do . 'd tl� m mi wu mn ��yi :, AJ 10 Figure 1 -4. The Climate Wizard user interface (http: / /www. climatewizard.org). The website allows the user to easily access statisti- cally downscaled climate projections using 16 global climate models (Zganjar et al. 2009)