{"id":4737,"date":"2018-03-14T14:13:37","date_gmt":"2018-03-14T19:13:37","guid":{"rendered":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/?p=4737"},"modified":"2018-04-11T16:52:10","modified_gmt":"2018-04-11T21:52:10","slug":"noaa-hazardous-weather-testbed-starts-with-hs-phi-experiment","status":"publish","type":"post","link":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/2018\/03\/noaa-hazardous-weather-testbed-starts-with-hs-phi-experiment\/","title":{"rendered":"NOAA Hazardous Weather Testbed starts with HS-PHI experiment"},"content":{"rendered":"
\"\"<\/a>
The first week of the Hazard Services – Probabilistic Hazard Information experiment in the NOAA Hazardous Weather Testbed at the National Weather Center in Norman, OK in 2018. This is the third year of the HS-PHI experiment in the HWT. (Photo by James Murnan\/NOAA NSSL)<\/figcaption><\/figure>\n

The NOAA Hazardous Weather Testbed is once again busy buzzing with activity as researchers kick off the year\u2019s first research activities. Located in the National Weather Center in Norman, Oklahoma, the testbed is operated by the NOAA National Severe Storms Laboratory and the NOAA National Weather Service.<\/span><\/p>\n

Starting this week, participants will assess a new tool using rapid-updating, high-resolution Probabilistic Hazard Information, known as PHI. <\/span>From March 12-16,\u00a0 April 2-6 and April 9-13 the <\/span>Hazard Services – Probabilistic Hazard Information Experiment<\/span><\/a> is testing an experimental concept for delivering information to the public in a way that simulates how National Weather Service forecasters would use it within their software.<\/span><\/p>\n

\u201cPHI will bring the public more specific weather information, but most importantly it will deliver severe weather information hours, rather than minutes before severe weather could become a threat,\u201d said Alyssa Bates, University of Oklahoma cooperative institute and NWS Warning Decision Training Division researcher. \u201cThat will allow ample time for businesses, outdoor venues, and healthcare facilities to execute their severe weather preparedness plan.\u201d<\/span><\/p>\n

This experiment is one of many under the umbrella of \u00a0NSSL\u2019s FACETs, <\/span>Forecasting a Continuum of Environmental Threats<\/span><\/a> project. FACETs is an initiative aimed at improving the communication of hail, wind, and tornado hazards to save lives and property. \u00a0Instead of a creating a warning area, in the FACETs paradigm forecasters would create probabilistic hazard information \u201cplumes.\u201d New types of severe weather warnings can be derived from the plumes. These include the traditional warnings the public receives today, to special warnings for specific users that have a lower tolerance to severe weather and require longer lead times to take action.<\/span><\/p>\n

“Thanks to thoughtful forecaster feedback in a well-constructed test environment, the software has become more stable over the last three years to the point that we can now focus on the more fundamental questions of the meaning of the probabilistic hazard information and how best to communicate it to our partners and the public\u201d said Tracy Hansen, lead software engineer at NOAA\u2019s \u00a0Earth System Research Laboratory<\/a>\u00a0<\/span>Global Systems Division.<\/p>\n

Participants in the first week include NWS forecasters from Albany, New York, and Tulsa, Oklahoma, as well as researchers from NOAA\u2019s \u00a0ESRL<\/a> and the University of Akron. <\/span><\/p>\n

Second week participants from April 2-6 include NWS forecasters from Texas and Guam, as well as researchers from NOAA’s ESRL GSD, University of Akron, OU CIMMS and NOAA NWS Warning Decision Training Division.<\/span>
\n<\/span><\/p>\n

Third week participants from April 9-13 include human factors scientists,\u00a0 NWS forecasters from\u00a09-13 April<\/span><\/span>\u00a0Peachtree City \/ Atlanta and\u00a0 Spokane, Washington\u00a0, as well as researchers from NOAA’s ESRL GSD, University of Akron, OU CIMMS and NOAA NWS Warning Decision Training Division<\/span>, as well as the FACETs Working Group.<\/p>\n

HS-PHI was developed by the National Severe Storms Laboratory with the National Weather Service and ESRL, and is in its third year of evaluation.<\/span>
\n<\/span>
\n<\/span>PHI is one of six different experiments taking place in the NOAA HWT this spring.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

The NOAA Hazardous Weather Testbed is once again busy buzzing with activity as researchers kick off the year\u2019s first research activities. From March 12-16, participants will assess a new tool using rapid-updating, high-resolution Probabilistic Hazard Information, known as PHI. HS-PHI is testing an experimental concept for delivering information to the public in a way that simulates how National Weather Service forecasters would use it within their software.<\/p>\n","protected":false},"author":131,"featured_media":4756,"comment_status":"closed","ping_status":"closed","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":[622,171,567,347],"class_list":["post-4737","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research-news","tag-featured","tag-hazardous-weather-testbed","tag-hs-phi","tag-nws"],"acf":[],"wps_subtitle":"","_links":{"self":[{"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/posts\/4737","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\/131"}],"replies":[{"embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/comments?post=4737"}],"version-history":[{"count":10,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/posts\/4737\/revisions"}],"predecessor-version":[{"id":4766,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/posts\/4737\/revisions\/4766"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/media\/4756"}],"wp:attachment":[{"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/media?parent=4737"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/categories?post=4737"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/tags?post=4737"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}