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SHAVE The Severe Hazards Analysis and Verification Experiment. Kurt Hondl & Travis Smith, NSSL. Active collection of severe weather reports via telephone interviews enables students to build a high-resolution dataset useful for radar ground truth and other purposes. SHAVE: How it works.
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SHAVEThe Severe Hazards Analysis and Verification Experiment Kurt Hondl & Travis Smith, NSSL Active collection of severe weather reports via telephone interviews enables students to build a high-resolution dataset useful for radar ground truth and other purposes.
SHAVE: How it works • NSSL’s MRMS system identifies hazard and tracks it. • Students track storm development using MRMS products via Google Earth. • Identify businesses or other locations within and around the path of the storm and initiate calls. • Follow “scripts” to ask questions … • Size of hail, when it started, when it ended, any other associated severe weather hazards … • Enter information into a database • Ortega, K. L., T. M. Smith, K. L. Manross, K. A. Scharfenberg, A. Witt, A. G. Kolodziej, J. J. Gourley, 2009: The severe hazards analysis and verification experiment. Bulletin of the American Meteorological Society, 90, 1519-1530, doi:10.1175/2009BAMS2815.1. NextGen Inter-Agency Research Coordination Meeting
NWS Verification NWS Hail reports overlaid on NSSL MRMS Hail Swath product. NextGen Inter-Agency Research Coordination Meeting
SHAVE Verification NSSL SHAVE reports overlaid on NSSL MRMS Hail Swath product. NextGen Inter-Agency Research Coordination Meeting
2006-2009 SHAVE Data Summary • Summary • 243 days of operations • 95413 phone calls • 32039 data points • Hail • 23720 total • 9692 ‘no hail’ • 6191 non-severe hail • 6956 severe* hail • 524 significant-severe hail • Wind • 2479 total • 735 ‘no wind’ • Flash flooding • 5840 total • 4165 ‘no flooding’ NextGen Inter-Agency Research Coordination Meeting
SHAVE Data Coverage (2006-2009) NextGen Inter-Agency Research Coordination Meeting