An anonymous reader writes "If the US plans to develop wind farms across the country they need a better way to predict the wind direction and the duration. NCAR (National Center for Atmospheric Research) is looking to do just that. In December, NCAR signed an agreement with Xcel Energy to develop a wind prediction system for the company's wind energy farms in Colorado, Minnesota, and Texas. Experimental forecasts may start as early as May. At present, most wind forecasts rely heavily on statistical forecasting methods, since the numerical weather forecast products available from operational centers are produced with coarse-grid, larger-scale models. The RTFDDA system, however, is designed to provide a birds-eye view of local weather for small areas of special interest, like wind farms, through a multiple level downscaling algorithm." I hope that decentralized weather-data gathering stations (like many people have feeding data to The Weather Underground) would be useful for this purpose.