Risk models are an important tool for evaluating risk and responding to impending events. Seasonal hurricane forecasts get a lot of hype and are good excuses for a June 1 press conference, but skill for seasonal hurricane activity prediction is near zero for landfall prediction especially for statistical methods. There’s all kinds of hurricane data out there on the web, and a look at Twitter during an event can be downright scary! Intelligently combining the measurements from all these platforms results in a coherent wind field that can be updated in realtime. Uploading the footprint to the risk model provides insurance and Reinsurance underwriters with a loss estimate based on the latest available wind field data as an alternative to the simplistic modeled parametric wind field that comes out of the typical risk model.