Geospatial Assessment of United States Tropical Cyclone Disaster Risk

Geospatial Assessment of United States Tropical Cyclone Disaster Risk | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Geospatial Assessment of United States Tropical Cyclone Disaster Risk Stephen M Strader, Sydney J Walsh, Thomas M Linehan, Caroline M Carlson This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7594168/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 10 Mar, 2026 Read the published version in Natural Hazards → Version 1 posted 5 You are reading this latest preprint version Abstract This study provides an overview of tropical cyclone (TC) hazard risk, population exposure, societal vulnerability, and community resilience for conterminous United States (CONUS) counties. TC hazard and disaster indices developed in this work combine measures of hazard risk (TCHR), exposure (TCEXP), vulnerability (TCVUL), resilience (TCRES), and disaster risk (TCDR) to determine the counties that are most likely to experience TC hazard impacts and suffer from a disaster. Results from this research indicate that counties in Florida, Louisiana, North Carolina, and southeastern Texas are most prone to TC disasters. Harris and Cameron, TX Counties rank highest of all counties in terms of TC disaster risk. Whereas TC disaster potential is largely greater for Atlantic and Gulf Coast counties because of a combination of high TC hazard incidence and population exposure, many inland or non-coastal counties across the southeastern and northeastern CONUS are also highly disaster prone due to frequent inland flash flooding from landfalling TCs being juxtaposed vulnerable communities. Geospatial patterns in TC hazards and fatalities in relation to the underlying population exposure, vulnerability, and resilience are critical for understanding how the next TC disaster may unfold. In all, outcomes from this research are aimed at improving local, state, and federal stakeholder (e.g., emergency managers, policymakers, land use planners) knowledge about the various threats their communities face from TCs. Our findings may assist officials with developing TC hazard-specific mitigation and resilience-building strategies with the ultimate goal of reducing casualties and losses from future TCs. Tropical Cyclone Hazard Disaster Vulnerability Exposure Resilience Full Text Cite Share Download PDF Status: Published Journal Publication published 10 Mar, 2026 Read the published version in Natural Hazards → Version 1 posted Editorial decision: Minor revisions 30 Dec, 2025 Reviewers agreed at journal 16 Oct, 2025 Reviewers invited by journal 14 Oct, 2025 Editor assigned by journal 11 Sep, 2025 First submitted to journal 11 Sep, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7594168","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":529675814,"identity":"0a983efa-4a37-4302-b431-cc33cdcdcc27","order_by":0,"name":"Stephen M 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