Monday, 23 January 2017
4E (Washington State Convention Center )
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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