Despite the improvement of our wind forecasts over the models during high-wind events, the current process of “serping” in higher winds at Arlington and Bordeaux is cumbersome. It is desired that a new, more systematic method of forecasting winds at these gap locations be developed that will save time without sacrificing forecast accuracy. The second part of this research involved developing an experimental “first-guess” wind forecast (hereafter CYSWIND) that could be incorporated into the Graphical Forecast Editor. CYSWIND is computed from a linear regression best fit on the CONSALL model. Since it is also directionally dependent, it will increase westerly winds by a greater magnitude, as this is the favored direction for the enhanced gap winds. Verification of CYSWIND on an out-of-sample period reveals its superior performance, beating SuperBlend and the Official forecasts overall, and more importantly at the higher winds. CYSWIND will be utilized at our office in the upcoming wind season to assist forecasters and track its operational performance.