Impact of WSR-88D Intra-Volume Low-Level Scans on Severe Weather Warning Performance
The 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 t...
| Main Authors: | , , , , , , |
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| Format: | Article |
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American Meteorological Society
2023
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| Online Access: | https://hdl.handle.net/1721.1/153200 |
| _version_ | 1826212736777846784 |
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| author | Cho, John Y. N. Kurdzo, James M. Bennett, Betty J. Weber, Mark E. Dellicarpini, Joseph W. Loconto, Andrew Frank, Hayden |
| author2 | Lincoln Laboratory |
| author_facet | Lincoln Laboratory Cho, John Y. N. Kurdzo, James M. Bennett, Betty J. Weber, Mark E. Dellicarpini, Joseph W. Loconto, Andrew Frank, Hayden |
| author_sort | Cho, John Y. N. |
| collection | MIT |
| description | The 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> |
| first_indexed | 2024-09-23T15:37:24Z |
| format | Article |
| id | mit-1721.1/153200 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T15:37:24Z |
| publishDate | 2023 |
| publisher | American Meteorological Society |
| record_format | dspace |
| spelling | mit-1721.1/1532002024-01-24T21:45:18Z Impact of WSR-88D Intra-Volume Low-Level Scans on Severe Weather Warning Performance Cho, John Y. N. Kurdzo, James M. Bennett, Betty J. Weber, Mark E. Dellicarpini, Joseph W. Loconto, Andrew Frank, Hayden Lincoln Laboratory Atmospheric Science The 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> National Ocean and Atmospheric Administration (NOAA) 2023-12-18T21:26:12Z 2023-12-18T21:26:12Z 2022-07 Article http://purl.org/eprint/type/JournalArticle 0882-8156 1520-0434 https://hdl.handle.net/1721.1/153200 Cho, 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. 10.1175/WAF-D-21-0152.1 10.1175/waf-d-21-0152.1 Weather and Forecasting Article 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. application/pdf American Meteorological Society American Meteorological Society Publications |
| spellingShingle | Atmospheric Science Cho, John Y. N. Kurdzo, James M. Bennett, Betty J. Weber, Mark E. Dellicarpini, Joseph W. Loconto, Andrew Frank, Hayden Impact of WSR-88D Intra-Volume Low-Level Scans on Severe Weather Warning Performance |
| title | Impact of WSR-88D Intra-Volume Low-Level Scans on Severe Weather Warning Performance |
| title_full | Impact of WSR-88D Intra-Volume Low-Level Scans on Severe Weather Warning Performance |
| title_fullStr | Impact of WSR-88D Intra-Volume Low-Level Scans on Severe Weather Warning Performance |
| title_full_unstemmed | Impact of WSR-88D Intra-Volume Low-Level Scans on Severe Weather Warning Performance |
| title_short | Impact of WSR-88D Intra-Volume Low-Level Scans on Severe Weather Warning Performance |
| title_sort | impact of wsr 88d intra volume low level scans on severe weather warning performance |
| topic | Atmospheric Science |
| url | https://hdl.handle.net/1721.1/153200 |
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