Abstract: Enhanced meteorological measure-correlate-predict systems and methods. The systems and methods preferably consider publicly available, long-term data sets at each of a plurality of locations nearby a potential wind farm location. A test tower is preferably located at the potential location to collect a shorter-term data set, which, in combination with the long-term data set, is used to correlate and train embodiments of the systems and methods of the present invention using computational learning systems. Longer-term data can then be predicted for the potential wind farm location based on the correlation.

Abstract: A system for presenting meteorological information uses a browser interface to access massive amounts of weather-related data in the form of images stored on the server-side of the system. A user having a common browser on a Web client accesses the server-side information to selectively assemble weather-related data on multiple overlays of images and/or graphics into one simultaneous presentation on a Web page. The different overlays are normalized with respect to time and space, and a user can separately generate graphically miniaturized presentations of weather-related data for saving and subsequently recalling each presentation, wherein each presentation is displayed with current relativized data. The user can also select or customize derived variables to be distinctively displayed as part of a presentation.