We have constructed a Google Maps application (App) marking the hourly locations of each snowstorm and annotating them with hourly statistics. Moreover, whenever coincident data granules of relevant satellite remote-sensing observations are found within the NASA metadata repository, i.e. EOS Clearing House (ECHO), the FTP URLs of these data granules are also included as annotations to corresponding hourly locations. Since the App runs on the server side and utilizes browser-based visualization, it can be executed on smart phones. With such an App, researchers studying snowstorms will be able to conveniently find the storms matching their research interest and criteria. In addition, they can easily and quickly obtain coincident data granules from NASA's vast satellite remote sensing data holdings.
There are other more far-reaching implications with this type of effort, which we will elucidate in our presentation.