Abstract

Severe-convective hailstorms are one of the most frequent weather hazards across the United States. However, studies evaluating the ability of various environmental indices to differentiate lower-end severe hail (≤1.25 in, 32 mm) from significant hail (≥2.0 in, 51 mm) prior to storm formation are limited and typically overlap very little with microphysically based research. To bridge this gap, this study builds a database of 520 hail reports that sort into one of four hail-diameter ranges. For each report, various thermodynamic and wind-related fields are then extracted from Rapid Update Cycle (RUC) model analysis to create a parameter-based hail climatology.
 Analysis of these environmental indices indicates most wind-based parameters display weaker magnitude winds and resultant shear for the smallest hail-size bin compared to the three largest. Further, the three largest hail diameter bins reveal nearly identical parameter values in the lowest 6 km AGL. In contrast, non-traditional shear layers that include winds in the upper portions of a storm (>6 km AGL) display some skill to differentiate larger hail sizes, especially for ≥3.5-in (89-mm) hail. Thermodynamic variables produced mixed results, with variables such as CAPE displaying a slight tendency to increase as binned hail size becomes larger but still with significant overlap. On the other hand, non-traditional parameters such as the hail-growth-zone thickness reveal a relationship toward decreased depth as the binned hail size increases, but with little to no increase in hail-growth-zone CAPE. Finally, evaluation of the significant severe parameter (SSP) and a new index called the large hail parameter (LHP) display mixed results. Skill at delineating ≤1.25-in (32-mm) report from 2.0-3.25-in (51-83-mm) cases for LHP (SSP) is slightly better (worse) than 0-6-km AGL bulk vector shear. However, the LHP displays improved skill over any other parameter to differentiate ≥3.5-in (89 mm) reports from those with less than 2.0-in (51-mm) diameter hail. The LHP formula creates improved skill by including non-traditional environmental parameters typically associated with storm longevity, precipitation efficiency, and hail-growth rates.

Highlights

  • The United States has one of the highest frequencies of severe-convective weather in the world with large hail accounting for a sizable percentage of this climatological normal (Frisby and Sansom 1967; Laing and Fritsch 1997; Doswell and Bosart 2001; Cintineo et al 2012)

  • Throughout the operational lifespan of the Rapid Update Cycle (RUC), the model underwent a wealth of changes to improve performance and capability

  • CAPE is a measurement routinely used by operational forecasters to estimate environmental thermodynamic instability, where larger values correlate with the potential for greater updraft velocity

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Summary

Introduction

The United States has one of the highest frequencies of severe-convective weather in the world with large hail accounting for a sizable percentage of this climatological normal (Frisby and Sansom 1967; Laing and Fritsch 1997; Doswell and Bosart 2001; Cintineo et al 2012). States due to hail damage exceed $1.0 billion (Changnon 1972, 1999). A single event with extremely large hail (diameters ≥3.5 in or 89 mm) has the potential to surpass that. A commonly referenced example of this type of case is the 5 May 1995 Fort Worth, TX hailstorm in that people attending the “Mayfest” event were caught outdoors in a storm producing hail with diameters exceeding 4.0 in (102 mm). Numerous people were treated for injuries, some critical, and storm damage exceeded $2.0 billion (Edwards and Thompson 1998). Despite the impact of these extremely large hail events, the definition of what constitutes

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