Cyclone Center is a crowd sourcing effort that applies a Dvorak-like intensity algorithm to data collected from citizen scientists examining infrared satellite images of TCs. The project is uniquely positioned to provide uncertainty information since at least ten unique users classify each TC image. Cyclone Center produces 3-hourly TC wind speed along with measures of uncertainty for each image and storm. The uncertainty is based on the homogeneity of user classifications and the chosen cloud patterns.
We will present several examples of storm classifications and intensity uncertainty. We believe that the data will be useful for identifying targets for reanalysis, resolving disparate trend analyses, and increasing confidence in risk-based systems that use historical intensity data such as catastrophe models.