Global Climate Models (GCM) are mathematical equations that compute future projected weather and climate. Global models normally compute results at coarse resolutions of around 1 degree.  This resolution is appropriate for global scale analysis however, is problematic when doing local scale studies which require much higher spatial resolution. This talk will focus on our review, testing, and evaluation of Esri's EBK (Empirical Bayesian Kriging) Regression Prediction geoprocessing tool to downscale global climate models to higher resolutions output for local scale applications. The EBK-R tool combines kriging and regression analysis to make predictions.  I will discuss the best combination of parameters and predictors as well as the common predictors for 5 distinct regions in the US that were tested.    -------------------------------------------------------------------------------------------------------------------------- Follow us on Social Media! Twitter: https://twitter.com/Esri Facebook: https://facebook.com/EsriGIS LinkedIn: https://www.linkedin.com/company/esri Instagram: https://www.instagram.com/esrigram The Science of Where: http://www.esri.com