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contributor authorDonavon, Rodney A.
contributor authorJungbluth, Karl A.
date accessioned2017-06-09T17:34:45Z
date available2017-06-09T17:34:45Z
date copyright2007/04/01
date issued2007
identifier issn0882-8156
identifier otherams-87473.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231146
description abstractRadar data were analyzed for severe thunderstorms that produced severe hail (>19 mm diameter) across the central and northern plains of the United States during the 2001?04 convective seasons. Results showed a strongly linear relationship between the 50-dBZ echo height and the height of the melting level?so strong that a severe hail warning methodology was successfully deployed at the National Weather Service Warning and Forecast Offices in North Dakota and Iowa. Specifically, for each of 183 severe hailstorms, the 50-dBZ echo height near the hail event time was plotted against the depth of the environmental melting level. Linear regression revealed a coefficient of determination of 0.86, which suggested a strong linear relationship between the 50-dBZ echo height and the melting-level depth for the severe hail producing storms. As the height of the melting level increased, the expected 50-dBZ echo height increased. A severe warning criterion for large hail was based on the 10th percentile from the linear regression, producing a probability of detection of 90% and a false alarm rate of 22%. Additional analysis found that the 50-dBZ echo-height technique performs very well for weakly to moderately sheared thunderstorm environments. However, for strongly sheared, supercell-type environments, signatures such as weak-echo regions and three-body scatter spikes led to more rapid severe thunderstorm detection in many cases.
publisherAmerican Meteorological Society
titleEvaluation of a Technique for Radar Identification of Large Hail across the Upper Midwest and Central Plains of the United States
typeJournal Paper
journal volume22
journal issue2
journal titleWeather and Forecasting
identifier doi10.1175/WAF1008.1
journal fristpage244
journal lastpage254
treeWeather and Forecasting:;2007:;volume( 022 ):;issue: 002
contenttypeFulltext


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