{"id":174317,"date":"2021-08-25T15:46:04","date_gmt":"2021-08-25T19:46:04","guid":{"rendered":"https:\/\/web.uri.edu\/gso\/?p=174317"},"modified":"2021-08-25T16:04:50","modified_gmt":"2021-08-25T20:04:50","slug":"tropical-storm-henri-test-real-time-storm-modeling-capabilities","status":"publish","type":"post","link":"https:\/\/web.uri.edu\/gso\/news\/tropical-storm-henri-test-real-time-storm-modeling-capabilities\/","title":{"rendered":"Tropical Storm Henri provides opportunity to test real-time storm modeling capabilities"},"content":{"rendered":"<h5><time class=\"published\" datetime=\"2021-08-24T20:22:40-04:00\">August 24, 2021<\/time><\/h5>\n<div class=\"entry-content\">\n<p>As the weekend of August 21, 2021 drew near, it became increasingly evident that Tropical Storm Henri would not only impact Southern New England, but could become a hurricane before making landfall. This was the perfect opportunity for researchers at the University of Rhode Island to test out the real-time storm modeling capabilities of the Rhode Island Coastal Hazards, Analysis, and Modeling Prediction (<a href=\"https:\/\/www.richamp.org\/\">RICHAMP<\/a>) system, a Department of Homeland Security-supported project which advances storm model capabilities and develops a near real-time hazard and impact prediction system for hurricanes and nor\u2019easters in Southern New England. The project is developed through the&nbsp;<a href=\"https:\/\/coastalresiliencecenter.unc.edu\/\" target=\"_blank\" rel=\"noopener noreferrer\">Coastal Resilience Center<\/a> and makes use of the <a href=\"https:\/\/www.adcircprediction.org\/\" target=\"_blank\" rel=\"noopener noreferrer\">ADCIRC Prediction System<\/a>\u2122.<\/p>\n<p>RICHAMP runs on existing ArcGIS systems typically in use at Emergency Operation Centers (EOCs) around the country. It integrates end-user knowledge and concerns with hazard predictions from the ADCIRC Prediction SystemTM&nbsp;to provide predictions of cascading consequences of extreme weather (i.e., surge, wind, flooding, waves) impacting critical infrastructure (e.g., wastewater treatment facilities, sewer systems, airports, and seaports). The developers\u2019 approach addresses the challenges inherent in collection and dissemination of infrastructure data by partnering with critical lifeline sector leads and leveraging existing technology in use at EOCs.<\/p>\n<p>The Coastal Resilience Center is a Department of Homeland Security Center of Excellence and part of a network of universities who support the Department of Homeland Security (DHS) Science and Technology Directorate\u2019s <a href=\"https:\/\/www.dhs.gov\/science-and-technology\/office-university-programs\" target=\"_blank\" rel=\"noopener noreferrer\">Office of University Programs<\/a>. The Center is a consortium of universities, private companies, and government agencies, led by the University of North Carolina at Chapel Hill (UNC), focused on applied research, education, and outreach addressing threats to coastal communities due to natural hazards.<\/p>\n<figure id=\"attachment_174322\" aria-describedby=\"caption-attachment-174322\" style=\"width: 1024px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-174322 size-full\" src=\"https:\/\/web.uri.edu\/wp-content\/uploads\/sites\/916\/RICHAMP-Henri-Viz-1024x500-1.jpg\" alt=\"Digital map of Rhode Island with colored dots marking flood and wind vulnerable areas.\" width=\"1024\" height=\"500\" srcset=\"https:\/\/web.uri.edu\/gso\/wp-content\/uploads\/sites\/916\/RICHAMP-Henri-Viz-1024x500-1.jpg 1024w, https:\/\/web.uri.edu\/gso\/wp-content\/uploads\/sites\/916\/RICHAMP-Henri-Viz-1024x500-1-300x146.jpg 300w, https:\/\/web.uri.edu\/gso\/wp-content\/uploads\/sites\/916\/RICHAMP-Henri-Viz-1024x500-1-768x375.jpg 768w, https:\/\/web.uri.edu\/gso\/wp-content\/uploads\/sites\/916\/RICHAMP-Henri-Viz-1024x500-1-364x178.jpg 364w, https:\/\/web.uri.edu\/gso\/wp-content\/uploads\/sites\/916\/RICHAMP-Henri-Viz-1024x500-1-500x244.jpg 500w, https:\/\/web.uri.edu\/gso\/wp-content\/uploads\/sites\/916\/RICHAMP-Henri-Viz-1024x500-1-1000x488.jpg 1000w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption id=\"caption-attachment-174322\" class=\"wp-caption-text\">An example of the RICHAMP pilot test visualization during TS Henri showing the inundation forecast for the Southern New England coast.<\/figcaption><\/figure>\n<p>As Henri was first forecast to move toward New England, a Coastal Resilience Center modeling team, including <a href=\"https:\/\/web.uri.edu\/gso\/meet\/isaac-ginis\/\" target=\"_blank\" rel=\"noopener noreferrer\">Isaac Ginis<\/a> (URI Graduate School of Oceanography), <a href=\"https:\/\/coastalresiliencecenter.unc.edu\/investigator\/dr-brian-blanton\/\" target=\"_blank\" rel=\"noopener noreferrer\">Brian Blanton<\/a> (UNC Renaissance Computing Institute \u2013 RENCI), <a href=\"https:\/\/ims.unc.edu\/people-pages\/rick-luettich\/\" target=\"_blank\" rel=\"noopener noreferrer\">Rick Luettich <\/a>(UNC Institute of Marine Sciences) and <a href=\"https:\/\/coastalresiliencecenter.unc.edu\/investigator\/dr-jason-fleming\/\" target=\"_blank\" rel=\"noopener noreferrer\">Jason Fleming <\/a>(Seahorse Coastal Consulting) coalesced to produce hazard forecast updates every six hours using RENCI\u2019s Hatteras high-performance computing system. <a href=\"https:\/\/web.uri.edu\/abecker\/\" target=\"_blank\" rel=\"noopener noreferrer\">Austin Becker<\/a>&nbsp;(URI Department of Marine Affairs) and his team worked on collecting subject matter experts\u2019 concerns and creating a website portal to visualize and disseminate the information to a select group of emergency management end-users.<\/p>\n<\/div>\n<p>During the testing period, all eyes closely monitored the path and development of Henri. During each six-hour forecast cycle, the team worked toward developing multiple storm scenarios that might bracket the expected conditions. As an output product, Becker and his team provided the selected end-users with a web URL link to an online viewer that displayed the forecasted inundation levels for Rhode Island. With each subsequent update, the team provided information on how the forecast was produced.<\/p>\n<p>\u201cThe Department of Homeland Security funding allowed us to significantly enhance the spatial resolution of the ADCIRC mesh and better resolve areas of interest in Southern New England,\u201d said Ginis. \u201cThe landfall of Tropical Storm Henri in Rhode Island provided a unique opportunity to inform local emergency managers and decision-makers <em>in real-time <\/em>about new modeling capabilities for predicting coastal flooding and impacts from extreme weather conditions.\u201d<\/p>\n<p>According to Becker, \u201cHenri provided a fantastic opportunity to test out the products that have been in development in partnership with the Rhode Island Emergency Management Agency and other key partners. The results show the incredible potential this tool has to aid in emergency response.\u201d<\/p>\n<p>Becker emphasized that this was an experimental pilot test run, and that the data produced was not meant for decision-making. The information supplemented regular situation reports on Hurricane Henri that were provided by Luettich, lead principal investigator for the Coastal Resilience Center. Each report was shared with DHS over the weekend as they became available.<\/p>\n<p>\u201cFor the past several years, we\u2019ve been building out the ADCIRC Prediction System\u2122 as a national coastal hazard forecasting system with primary support from the DHS Coastal Resilience Center,\u201d says Luettich. \u201cWe were extremely pleased with how well it performed during Henri.\u201d&nbsp;&nbsp;<\/p>\n<p>During the experimental run of RICHAMP, Becker and his URI colleagues Chris Damon and Deb Crowley had to manually work through some steps of the process, which they plan to automate in the future.&nbsp;<\/p>\n<p>This collaboration is a successful example of how a team of researchers, developers, and communicators can work together to implement new tools and processes to help coastal communities better prepare for and respond to adverse weather events.<\/p>\n<p><em>Originally published by the <a href=\"https:\/\/coastalresiliencecenter.unc.edu\/2021\/08\/tropical-storm-henri-tests-adcirc-storm-modeling-capabilities\/\">Coastal Resilience Center.<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tropical Storm Henri was the perfect opportunity for researchers at GSO and the University of Rhode Island to test out the real-time storm modeling capabilities of the Rhode Island Coastal Hazards, Analysis, and Modeling Prediction (RICHAMP) system.<\/p>\n","protected":false},"author":2165,"featured_media":174320,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[79],"tags":[572,575,2870,2367,316],"class_list":["post-174317","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-hurricanes","tag-isaac-ginis","tag-modeling","tag-natural-hazards","tag-physical-oceanography"],"acf":[],"_links":{"self":[{"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/posts\/174317","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/users\/2165"}],"replies":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/comments?post=174317"}],"version-history":[{"count":5,"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/posts\/174317\/revisions"}],"predecessor-version":[{"id":174326,"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/posts\/174317\/revisions\/174326"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/media\/174320"}],"wp:attachment":[{"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/media?parent=174317"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/categories?post=174317"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/web.uri.edu\/gso\/wp-json\/wp\/v2\/tags?post=174317"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}