{"id":2461,"date":"2014-11-06T14:44:32","date_gmt":"2014-11-06T19:44:32","guid":{"rendered":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/?p=2461"},"modified":"2014-11-06T14:44:32","modified_gmt":"2014-11-06T19:44:32","slug":"tornado-warning-decisions-using-phased-array-radar-data","status":"publish","type":"post","link":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/2014\/11\/tornado-warning-decisions-using-phased-array-radar-data\/","title":{"rendered":"Tornado Warning Decisions Using Phased Array Radar Data"},"content":{"rendered":"<p><em>Weather and Forecasting: Early Online Release<\/em><\/p>\n<p><strong>Tornado Warning Decisions Using Phased Array Radar Data<\/strong><\/p>\n<p><strong>Authors:\u00a0 <\/strong>Pamela Heinselman, Daphne LaDue, Darrel M. Kingfield, and Robert Hoffman<\/p>\n<p>The 2012 Phased Array Radar Innovative Sensing Experiment identified how rapidly scanned full-volumetric data captured known mesoscale processes and impacted tornado-warning lead time. Twelve forecasters from nine National Weather Service forecast offices used this rapid-scan phased array radar (PAR) data to issue tornado warnings on two low-end tornadic and two nontornadic supercell cases. Verification of the tornadic cases revealed that forecasters\u2019 use of PAR data provided a median tornado-warning lead time (TLT) of 20 min.\u00a0 Precursors that triggered forecasters\u2019 decisions to warn occurred within one or two typical WSR-88D scans, indicating PAR\u2019s temporal sampling better matches the time-scale at which these precursors evolve.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Weather and Forecasting: Early Online Release Tornado Warning Decisions Using Phased Array Radar Data Authors:\u00a0 Pamela Heinselman, Daphne LaDue, Darrel M. Kingfield, and Robert Hoffman The 2012 Phased Array Radar Innovative Sensing Experiment identified how\u2026<\/p>\n","protected":false},"author":38,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_eb_attr":"","ghostkit_customizer_options":"","ghostkit_custom_css":"","ghostkit_custom_js_head":"","ghostkit_custom_js_foot":"","ghostkit_typography":"","footnotes":""},"categories":[12],"tags":[150,175,305,347,381,476,513,522],"class_list":["post-2461","post","type-post","status-publish","format-standard","hentry","category-research-news","tag-forecasters","tag-heinselman","tag-mpar","tag-nws","tag-phased-array-radar","tag-tornado","tag-warning","tag-weather-and-forecasting"],"acf":[],"wps_subtitle":"","_links":{"self":[{"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/posts\/2461","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/users\/38"}],"replies":[{"embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/comments?post=2461"}],"version-history":[{"count":0,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/posts\/2461\/revisions"}],"wp:attachment":[{"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/media?parent=2461"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/categories?post=2461"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/tags?post=2461"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}