A Statistical Study of Dependence of Hailstorm Severity on Environmental Conditions

David A. Barber Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh 27650

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Larry J. Mahrt Department of Atmospheric Sciences, Oregon State University, Corvallis 97331

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Abstract

Rawinsonde observations taken during the National Hail Research Experiment are analyzed by multiple-linear regression techniques to study the influence of environmental factors on hailstorm severity. The latter is inferred from integrated radar returns. The roles of mixed-layer flow and thermodynamic properties as well as upper tropospheric kinematic properties are emphasized. The low-level properties are found to be more important discriminators of storm severity over the High Plains.

Abstract

Rawinsonde observations taken during the National Hail Research Experiment are analyzed by multiple-linear regression techniques to study the influence of environmental factors on hailstorm severity. The latter is inferred from integrated radar returns. The roles of mixed-layer flow and thermodynamic properties as well as upper tropospheric kinematic properties are emphasized. The low-level properties are found to be more important discriminators of storm severity over the High Plains.

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