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Surface Hail-Fall Diagnosis



Details

  • Journal Title:
    Electronic Journal of Sever Storms Meteorology
  • Personal Author:
    Ortega, K.L.
  • NOAA Program & Office:
  • Description:
    The operational deployment of the multi-radar, multi-sensor (MRMS) system has made available new

    products to use for hail detection. MRMS products are provided on a spatial grid and can give information

    on hail size and the spatial extent and distribution of the hail fall. This information is important to a wide

    audience, including warning forecasters needing to focus on areas for warning verification and insurance

    users needing to verify a claim. Products are typically verified and evaluated using hail reports from Storm

    Data, which are reports collected by local National Weather Service Offices. The National Severe Storms

    Laboratory conducted a project to collect reports of hail, including reports of “no hail” near storms, at high

    spatial resolution. This project, the Severe Hazards Analysis and Verification Experiment (SHAVE),

    collected tens of thousands of hail reports over ten years of operations. Three-hundred eighty-nine SHAVE

    operations, which yielded 21 184 SHAVE reports and 2814 Storm Data reports, are investigated. Nine

    MRMS products were evaluated with the reflectivity at lowest altitude demonstrating the best discrimination for where hail of any size fell and the maximum expected size of hail product provided the best discrimination for severe-sized hail. SHAVE- and Storm Data-based evaluations showed marked differences in product skill scores. Discussions on the differences between the hail report databases and explorations of vertical profiles of reflectivity are included.

  • Keywords:
  • Source:
    J. Severe Storms Meteor., 13 (1), 1‒36
  • DOI:
  • Document Type:
    Journal Article
  • Rights Information:
    Other
  • Compliance:
    Submitted
  • Main Document Checksum:
    urn:sha-512:983376d092316b27cf7dbd76936a6031ff458d4825f0ac35495b9e02427c4c8b304051fffedf3fe5529fa36db5235e3021791469e439f887ad5ecbd0ea0f2ea3
  • Download URL:
  • File Type:
    Filetype[PDF - 2.58 MB ]
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