Bassill, Nick P., University of Wisconsin: Madison
Prior research has
demonstrated that various parameterizations in the WRF-ARW model have
statistically significant biases for various meteorologically important fields.
With this understanding, a real-time physics ensemble was run during the 2008
and 2009 North Atlantic Hurricane season. Using the data generated from that
ensemble, an analysis of some of these biases was performed, primarily in
relation to the large scale environment and circulation. Some of these results
will be discussed in this presentation. In addition, this ensemble data was
used to study various aspects of ensemble forecasting, with an emphasis on
using the inherent biases found in different parameterizations in a productive
way. Some of these results will also be presented.