324 Development of Real-Time Visualization and Verification Products for the NSSL Experimental Warn-on-Forecast System for Ensembles

Monday, 23 January 2017
4E (Washington State Convention Center )
Patrick S. Skinner, CIMMS/Univ. of Oklahoma, Norman, OK; and K. H. Knopfmeier, D. M. Wheatley, and L. J. Wicker

A prototype, rapidly updating, storm-scale, ensemble prediction system known as the NSSL Experimental Warn-on-Forecast System for ensembles (NEWS-e) was run for 16 events between December 2015 and May 2016.  For each case, 18-member, 90-min forecasts were issued at 30-min intervals over a 750 x 750 km domain with 3-km horizontal grid spacing. 

In order to process the large amount of NEWS-e data produced for each case (~1 TB) and provide products for short-term forecasts with a minimum amount of latency, a Python-based post-processing and visualization system has been developed.  This study provides an overview of this system, which includes:  Methods for fast calculation of severe thunderstorm environmental parameters, customized ensemble forecast products for thunderstorm hazards, and near real-time, object-based verification techniques.

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