| Document Date: 2010-12-15 10:38:44
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City Worth / Louis / City / / Company National Severe Storms Laboratory / Meteorological Development Laboratory / Hertz / / Country United States / / / Event Natural Disaster / / Facility KFWS Fort / Valparaiso University / University of Oklahoma / / IndustryTerm resilient backpropagation neural network / precipitation accumulation algorithms / weather radar algorithms / satellite data / downstream applications / neural network / hypothetical single-radar quality control algorithm / automated weather radar algorithms / radar quality problem using neural networks / neural networks / with-velocity network / final products / quality-control neural network / velocity network / real-time operation / automated algorithm / radar echo classification algorithm / ground clutter algorithm / downstream algorithms / preciptation products / operational algorithm / / Organization University of Oklahoma / Valparaiso University / National Oceanic and Atmospheric Administration / / Person Valliappa Lakshmanan / Lynn / Angela Fritz / Kurt Hondl / Travis Smith / Gregory Stumpf Submitted / Gregory J. Stumpf / / / Position author / human interpreter / Bishop / feed-forward / representative / Corresponding author / / ProvinceOrState Oklahoma / / Technology ground clutter algorithm / weather radar algorithms / neural network / completely automated algorithm / precipitation accumulation algorithms / automated weather radar algorithms / fuzzy logic / machine learning / quality control algorithm / NEXRAD radar echo classification algorithm / QC algorithm / currently operational algorithm / /
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An Automated Technique to Quality Control Radar Reflectivity Data Valliappa Lakshmanan1,2 , Angela Fritz3 , Travis Smith1,2 , Kurt Hondl2 , Gregory Stumpf Submitted, J. Applied Meteorology, Oct[removed]Revised Mar. 2006