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dc.contributor.authorCho, John Y. N.
dc.contributor.authorKurdzo, James M.
dc.contributor.authorBennett, Betty J.
dc.contributor.authorWeber, Mark E.
dc.contributor.authorDellicarpini, Joseph W.
dc.contributor.authorLoconto, Andrew
dc.contributor.authorFrank, Hayden
dc.date.accessioned2023-12-18T21:26:12Z
dc.date.available2023-12-18T21:26:12Z
dc.date.issued2022-07
dc.identifier.issn0882-8156
dc.identifier.issn1520-0434
dc.identifier.urihttps://hdl.handle.net/1721.1/153200
dc.description.abstractThe statistical relationship between supplemental adaptive intra-volume low-level scan (SAILS) usage on the Weather Surveillance Radar-1988 Doppler and National Weather Service severe storm warning performance during 2014–20 is analyzed. Results show statistically significant improvement in severe thunderstorm (SVR), flash flood (FF), and tornado (TOR) warning performance associated with SAILS-on versus SAILS-off. Within the three possible SAILS modes of one (SAILSx1), two (SAILSx2), and three (SAILSx3) additional base scans per volume, for SVR, SAILSx2 and SAILSx3 are associated with better warning performance compared to SAILSx1; for FF and TOR, SAILSx3 is associated with better warning performance relative to SAILSx1 and SAILSx2. Two severe storm cases (one that spawned a tornado, one that did not) are presented where SAILS usage helped forecasters make the correct TOR warning decision, lending real-life credence to the statistical results. Furthermore, a statistical analysis of automated volume scan evaluation and termination effects, parsed by SAILS usage and mode, yield a statistically significant association between volume scan update rate and SVR warning lead time.</jats:p>en_US
dc.description.sponsorshipNational Ocean and Atmospheric Administration (NOAA)en_US
dc.publisherAmerican Meteorological Societyen_US
dc.relation.isversionof10.1175/waf-d-21-0152.1en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAmerican Meteorological Society Publicationsen_US
dc.subjectAtmospheric Scienceen_US
dc.titleImpact of WSR-88D Intra-Volume Low-Level Scans on Severe Weather Warning Performanceen_US
dc.typeArticleen_US
dc.identifier.citationCho, J. Y. N., J. M. Kurdzo, B. J. Bennett, M. E. Weber, J. W. Dellicarpini, A. Loconto, and H. Frank, 2022: Impact of WSR-88D Intra-Volume Low-Level Scans on Severe Weather Warning Performance. Wea. Forecasting, 37, 1169–1189.en_US
dc.contributor.departmentLincoln Laboratory
dc.relation.journalWeather and Forecastingen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.identifier.doi10.1175/WAF-D-21-0152.1
dspace.date.submission2023-12-13T20:56:36Z
mit.journal.volume37en_US
mit.journal.issue7en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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