Detection of severe local storm phenomena by automated interpretation of radar and storm environment

Kitzmiller, David H. (David Harvey), 1957-; Breidenbach, Jay P.

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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.

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Detection of severe local storm phenomena by automated interpretation of radar and storm environment

1995
By Kitzmiller, David H. (David Harvey), 1957- ; Breidenbach, Jay P.
Series: NOAA technical memorandum NWS TDL ; 82

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Personal Author:

Kitzmiller, David H. (David Harvey), 1957- ; Breidenbach, Jay P.

Kitzmiller, David H. (David Harvey), 1957- ; Breidenbach, Jay P. Less -
Corporate Authors:

United States, National Weather Service., Techniques Development Laboratory,
NOAA Program & Office:

NWS (National Weather Service)
Description:

Many operational features of the WSR-88D were incorporated specifically to aid forecasters in the detection of severe local storms (damaging winds, large hail, and tornadoes). One interpretive product, the Severe Weather Potential (SWP) algorithm, yields an index proportional to the probability that an individual thunderstorm cell will soon produce any severe weather phenomena. The SWP is based solely on radar information, namely vertically-integrated liquid VIL and storm horizontal extent.
Content Notes:

David H. Kitzmiller and Jay P. Breidenbach.

"August 1995."

Includes bibliographical references (pages 14-16).
Keywords:

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Computer Programs Severe Storms Weather Forecasting
Series:

NOAA technical memorandum NWS TDL ; 82
Document Type:

Technical Memorandum
Rights Information:

Public Domain
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urn:sha256:cf7338335fb240b4471bccf5e6a5a5c8504973dff6302d0fd4ea7f39d5342399
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https://repository.library.noaa.gov/view/noaa/13616/noaa_13616_DS1.pdf
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Detection of severe local storm phenomena by automated interpretation of radar and storm environment

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