Using Operational Radar to Identify Deep Hail Accumulations from Thunderstorms

Wallace, Robinson; Friedrich, Katja; Kalina, Evan A.; Schlatter, Paul

doi:10.1175/WAF-D-18-0053.1

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Using Operational Radar to Identify Deep Hail Accumulations from Thunderstorms

2019
By Wallace, Robinson ; Friedrich, Katja ; Kalina, Evan A. ; ...
Source: Wea. Forecasting (2019) 34 (1): 133–150

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Details:

Journal Title:

Weather And Forecasting
Personal Author:

Wallace, Robinson ; Friedrich, Katja ; Kalina, Evan A. ; Schlatter, Paul

Wallace, Robinson ; Friedrich, Katja ; Kalina, Evan A. ; Schlatter, Paul Less -
NOAA Program & Office:

CIRES (Cooperative Institute for Research in Environmental Sciences) ; NWS (National Weather Service) ; OAR (Oceanic and Atmospheric Research) ; ESRL (Earth System Research Laboratory) ; GSL (Global Systems Laboratory)

CIRES (Cooperative Institute for Research in Environmental Sciences) ; NWS (National Weather Service) ; OAR (Oceanic and Atmospheric Research) ; ESRL (Earth System Research Laboratory) ; GSL (Global Systems Laboratory) Less -
Description:

Thunderstorms that produce surface hail accumulations, sometimes as large as 60 cm in depth, have significantly affected the residents of the Front Range and High Plains of Colorado and Wyoming by creating hazardous road conditions and endangering lives and property. To date, surface hail accumulation is not part of a routine forecasting or monitoring system. Extensive coordinated hail accumulation reports and operational products designed to identify deep hail accumulating storms in real time are lacking. Kalina et al. used dual-polarization WSR-88D radar observations to calculate hail depth and hail accumulations but never validated the algorithm. This study shows how 20 quality-controlled hail depth reports from the hail depth database built by the Colorado Hail Accumulation from Thunderstorms (CHAT) project are being used to validate the Kalina et al. radar-based hail accumulation algorithm for operational application. The validated algorithm shows increased correlations between radar-derived and reported accumulations for hail depth reports not included in the validation. Furthermore, increases in computational efficiency have allowed the improved algorithm to be used operationally. With an improved hail accumulation algorithm, thunderstorms that produce hail accumulations are more frequently detected than previously reported.
Keywords:

[+]

Radar Thunderstorms
Source:

Wea. Forecasting (2019) 34 (1): 133–150
DOI:

https://doi.org/10.1175/WAF-D-18-0053.1
Document Type:

Journal Article
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Submitted
Main Document Checksum:

[+]

urn:sha256:9feda4018d099d0755b214cd29f1fec5436df5acd1e55333196c46b01c5a03e1
Download URL:

https://repository.library.noaa.gov/view/noaa/25112/noaa_25112_DS1.pdf
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[PDF-3.00 MB]