<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>A Climatology of Significantly Severe Hail in the Northeast United States from 2011-2022</dc:title><dc:creator>Norman, Nicholas </dc:creator><dc:subject>hail</dc:subject><dc:subject>forcasting</dc:subject><dc:subject>forecasting techniques</dc:subject><dc:subject>mesoscale forecasting</dc:subject><dc:subject>operational forecasting</dc:subject><dc:subject>reanalysis data</dc:subject><dc:subject>ERA5</dc:subject><dc:subject>hodograph</dc:subject><dc:subject>skew-t</dc:subject><dc:subject>hail reports</dc:subject><dc:subject>statistical analysis</dc:subject><dc:subject>severe weather</dc:subject><dc:subject>climatology</dc:subject><dc:subject>doppler radar</dc:subject><dc:subject>dual-polarization</dc:subject><dc:subject>forensic meteorology</dc:subject><dc:subject>storm mode</dc:subject><dc:subject>tornado</dc:subject><dc:subject>large hail environments</dc:subject><dc:subject>SHIP</dc:subject><dc:subject>Northeast</dc:subject><dc:subject>Northeast US</dc:subject><dc:coverage>Meteorology and Atmospheric Science</dc:coverage><dc:relation>MS</dc:relation><dc:description>An analysis of NOAA Storm Events Database hail reports from 2011 to 2022 was conducted for the northeastern United States to identify cases of significantly severe (≥2 in or 51 mm in maximum dimension) hail. For each of the 167 cases observed, we also examined NEXRAD level-II data to identify convective storm mode (e.g., right-moving supercell, QLCS, etc.) and behaviors including storm splitting or mergers. Using these datasets, we performed a climatology for these events, compiling an array of statistics which included maximum reported hail size, report quantity, duration of severe (1.00 to 1.99 in or 25-50 mm) and significantly severe hail, hail report time of day and year, extent of the hail reports swath, storm motion before and during significant hail production, and tornadoes produced (if any). ERA5 reanalysis data was obtained for each case to analyze thermodynamic and kinematic environments, including computing common severe weather indices like the Significant Hail Parameter (SHIP). These data were used to create composite soundings and hodographs for each convective storm mode and other categories of statistical interest.

With an average severe hail duration of roughly one hour, many of these cases were not short-lived or isolated. A few of the higher-impact events generated millions of dollars in damage over swaths greater than 100 miles (160 km) in length. The results both align with previous studies analyzing significant hail environments but also highlight a few differences unique to the northeast. This will not only aid forecasters in predicting future events in this region but also inform commercial businesses and insurance companies, such that mitigation strategies can be developed to limit property losses from these uncommon, yet prolific hailstorms.</dc:description><dc:contributor>Paul Markowski, Program Head/Chair</dc:contributor><dc:contributor>Matthew Robert Kumjian, Thesis Advisor/Co-Advisor</dc:contributor><dc:contributor>Kelly Lombardo, Committee Member</dc:contributor><dc:rights>open_access</dc:rights><dc:date>2026-03-30T15:02:05Z</dc:date><dc:identifier>https://etda.libraries.psu.edu/catalog/22752nxn150</dc:identifier></oai_dc:dc>