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contributor authorBodine, David J.
contributor authorKumjian, Matthew R.
contributor authorPalmer, Robert D.
contributor authorHeinselman, Pamela L.
contributor authorRyzhkov, Alexander V.
date accessioned2017-06-09T17:35:55Z
date available2017-06-09T17:35:55Z
date copyright2013/02/01
date issued2012
identifier issn0882-8156
identifier otherams-87838.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231551
description abstracthis study investigates the use of tornadic debris signature (TDS) parameters to estimate tornado damage severity using Norman, Oklahoma (KOUN), polarimetric radar data (polarimetric version of the Weather Surveillance Radar-1988 Doppler radar). Several TDS parameters are examined, including parameters based on the 10th or 90th percentiles of polarimetric variables (lowest tilt TDS parameters) and TDS parameters based on the TDS volumetric coverage (spatial TDS parameters). Two highly detailed National Weather Service (NWS) damage surveys are compared to TDS parameters. The TDS parameters tend to be correlated with the enhanced Fujita scale (EF) rating. The 90th percentile reflectivity, TDS height, and TDS volume increase during tornado intensification and decrease during tornado dissipation. For 14 tornado cases, the maximum or minimum TDS parameter values are compared to the tornado?s EF rating. For tornadoes with a higher EF rating, higher maximum values of the 90th percentile ZHH, TDS height, and volume, as well as lower minimum values of 10th percentile ?HV and ZDR, are observed. Maxima in spatial TDS parameters are observed after periods of severe, widespread tornado damage for violent tornadoes. This paper discusses how forecasters could use TDS parameters to obtain near-real-time information about tornado damage severity and spatial extent.
publisherAmerican Meteorological Society
titleTornado Damage Estimation Using Polarimetric Radar
typeJournal Paper
journal volume28
journal issue1
journal titleWeather and Forecasting
identifier doi10.1175/WAF-D-11-00158.1
journal fristpage139
journal lastpage158
treeWeather and Forecasting:;2012:;volume( 028 ):;issue: 001
contenttypeFulltext


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