Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/62541

A Radar-Based Climatology of Thunderstorms in Hawai‘i.

File Size Format  
2018-08-ms-ballard.pdf 3.6 MB Adobe PDF View/Open

Item Summary

Title:A Radar-Based Climatology of Thunderstorms in Hawai‘i.
Authors:Ballard, Robert A.
Contributors:Meteorology (department)
Date Issued:Aug 2018
Publisher:University of Hawaiʻi at Mānoa
Abstract:While relatively infrequent, hazards related to severe convection in Hawai‘i do occasionally occur. Our understanding of these events can be improved by using algorithm data from the Weather Surveillance Radar-1988 Doppler (WSR-88D) to help build a spatial, temporal, and intensity climatology which eliminates population density and diurnal sampling biases. Radar can also expand the climatological area by approximately 17 times over that offered by land-based reports only. Surface and upper air observations and storm reports are used to validate the radar algorithm output. Parameters and indices from sounding data at Līhu‘e are compared to observed thunderstorms, as well as to output from the Maximum Estimated Hail Size (MEHS) and Tornado Vortex Signature (TVS) algorithms, to establish values significant for the occurrence of these events. The data show that greater instability is typically needed to support thunderstorms in Hawai‘i, approximately double that found for similar events over the continental United States. MEHS values greater than 32 mm appear to indicate a higher risk of severe hail in Hawai‘i, and these occur within radar range on average every 5.5 days per year. MEHS values likely to be associated with supercells and very large hail occur within radar range about 1.5 day per year. Most TVSs in Hawai‘i are associated with delta-V values of <30 m s-1, but values ≥ 45 m s-1 (known to be associated with strong tornadoes) have been observed. The results presented here should help forecasters to better evaluate the risk of these rare but important events.
Description:M.S. Thesis. University of Hawaiʻi at Mānoa 2018.
URI:http://hdl.handle.net/10125/62541
Rights:All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.
Appears in Collections: M.S. - Meteorology


Please email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.

Items in ScholarSpace are protected by copyright, with all rights reserved, unless otherwise indicated.