A Radar-Based Storm Climatology for the Contiguous United States for Improved Severe Weather Climatologies and Warnings
Several projects related to severe weather climatologies and severe weather warnings are underway. The first of these are hail and rotation climatologies derived from daily accumulations of each parameter. These radar-derived climatologies are compared against those determined from storm reports within Storm Data. Another project uses a K-means segmentation method to identify individual storms or storm clusters from merged reflectivity. The storms, and different attributes associated with those storms, are then tracked through time. The attributes are used within a random forest storm typing algorithm. These data can be used in determining storm type climatologies, for instance preferred environments or storm lifetimes by type. The final project to be discussed uses several derived grids and storm tracking to evaluate NWS severe thunderstorm and tornado warnings and storm reports from Storm Data. The goal is to use the MYRORSS data to try to stratify verified and unverified warnings and then to use the results to develop better warning evaluation tools. All of the results and information will be used within ongoing research to operations projects including the implementation of an operational Multiple Radar, Multiple Sensor (MRMS) system within the NWS and the Forecasting a Continuum of Environmental Threats (FACETs) project.