The Creation of a Research Television Studio to Test Probabilistic Hazard Information with Broadcast Meteorologists in NOAA’s Hazardous Weather Testbed
Broadcast meteorologists play an essential role in communicating severe weather information from the National Weather Service to the public. Because of their importance, researchers incorporated broadcast meteorologists in the development of probabilistic hazard information (PHI) in NOAA’s Hazardous...
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description | Broadcast meteorologists play an essential role in communicating severe weather information from the National Weather Service to the public. Because of their importance, researchers incorporated broadcast meteorologists in the development of probabilistic hazard information (PHI) in NOAA’s Hazardous Weather Testbed. As part of Forecasting a Continuum of Environmental Threats (FACETs), PHI is meant to bring additional context to severe weather warnings through the inclusion of probability information. Since this information represents a shift in the current paradigm of solely deterministic NWS warnings, understanding end user needs is paramount to create usable and accessible products that result in their intended outcome to serve the public. This paper outlines the establishment of “K-Probabilistic Hazard Information Television” (KPHI-TV), a research infrastructure under the Hazardous Weather Testbed created to study broadcast meteorologists and PHI. A description of the design of KPHI-TV and methods used by researchers are presented, including displaced real-time cases and semistructured interviews. Researchers completed an analysis of the 2018 experiment, using a quantitative analysis of television coverage decisions with PHI, and a thematic analysis of semistructured interviews. Results indicate that no clear probabilistic decision thresholds for PHI emerged among the participants. Other themes arose, including the relationship between PHI and the warning polygon, and communication challenges. Overall, broadcast participants preferred a system that includes PHI over the warning polygon alone, but raised other concerns, suggesting iterative research in the design and implementation of PHI should continue. |
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Because of their importance, researchers incorporated broadcast meteorologists in the development of probabilistic hazard information (PHI) in NOAA’s Hazardous Weather Testbed. As part of Forecasting a Continuum of Environmental Threats (FACETs), PHI is meant to bring additional context to severe weather warnings through the inclusion of probability information. Since this information represents a shift in the current paradigm of solely deterministic NWS warnings, understanding end user needs is paramount to create usable and accessible products that result in their intended outcome to serve the public. This paper outlines the establishment of “K-Probabilistic Hazard Information Television” (KPHI-TV), a research infrastructure under the Hazardous Weather Testbed created to study broadcast meteorologists and PHI. A description of the design of KPHI-TV and methods used by researchers are presented, including displaced real-time cases and semistructured interviews. Researchers completed an analysis of the 2018 experiment, using a quantitative analysis of television coverage decisions with PHI, and a thematic analysis of semistructured interviews. Results indicate that no clear probabilistic decision thresholds for PHI emerged among the participants. Other themes arose, including the relationship between PHI and the warning polygon, and communication challenges. Overall, broadcast participants preferred a system that includes PHI over the warning polygon alone, but raised other concerns, suggesting iterative research in the design and implementation of PHI should continue.</description><identifier>ISSN: 1948-8327</identifier><identifier>EISSN: 1948-8335</identifier><identifier>DOI: 10.1175/WCAS-D-21-0171.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Analysis ; Automation ; Broadcasting ; Broadcasting industry ; Communication ; Decision analysis ; Design ; Emergency warning programs ; Environmental impact ; Experiments ; Hail ; Laboratories ; Lightning ; Meteorological data ; Meteorological services ; Meteorologists ; Polygons ; Probability ; Probability theory ; Product development ; R&D ; Realism ; Research & development ; Research methodology ; Researchers ; Severe storms ; Severe weather ; Statistical analysis ; Storms ; Television ; Television production industry ; Television programming ; Test stands ; Tornadoes ; Usability ; User interface ; Weather ; Weather forecasting</subject><ispartof>Weather, climate, and society, 2022-07, Vol.14 (3), p.949-963</ispartof><rights>2022 American Meteorological Society</rights><rights>Copyright American Meteorological Society 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c335t-47f003441246206976d309c390c56c04505f80fa51fcc65a5c74472bf300f25d3</citedby><cites>FETCH-LOGICAL-c335t-47f003441246206976d309c390c56c04505f80fa51fcc65a5c74472bf300f25d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,3670,27911,27912</link.rule.ids></links><search><creatorcontrib>Obermeier, Holly B.</creatorcontrib><creatorcontrib>Berry, Kodi L.</creatorcontrib><creatorcontrib>Klockow-Mcclain, Kimberly E.</creatorcontrib><creatorcontrib>Campbell, Adrian</creatorcontrib><creatorcontrib>Carithers, Caroline</creatorcontrib><creatorcontrib>Gerard, Alan</creatorcontrib><creatorcontrib>Trujillo-Falcón, Joseph E.</creatorcontrib><title>The Creation of a Research Television Studio to Test Probabilistic Hazard Information with Broadcast Meteorologists in NOAA’s Hazardous Weather Testbed</title><title>Weather, climate, and society</title><description>Broadcast meteorologists play an essential role in communicating severe weather information from the National Weather Service to the public. 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Researchers completed an analysis of the 2018 experiment, using a quantitative analysis of television coverage decisions with PHI, and a thematic analysis of semistructured interviews. Results indicate that no clear probabilistic decision thresholds for PHI emerged among the participants. Other themes arose, including the relationship between PHI and the warning polygon, and communication challenges. Overall, broadcast participants preferred a system that includes PHI over the warning polygon alone, but raised other concerns, suggesting iterative research in the design and implementation of PHI should continue.</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/WCAS-D-21-0171.1</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Automation Broadcasting Broadcasting industry Communication Decision analysis Design Emergency warning programs Environmental impact Experiments Hail Laboratories Lightning Meteorological data Meteorological services Meteorologists Polygons Probability Probability theory Product development R&D Realism Research & development Research methodology Researchers Severe storms Severe weather Statistical analysis Storms Television Television production industry Television programming Test stands Tornadoes Usability User interface Weather Weather forecasting |
title | The Creation of a Research Television Studio to Test Probabilistic Hazard Information with Broadcast Meteorologists in NOAA’s Hazardous Weather Testbed |
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