Tropical cyclone-driven storm surge and wave database for the US North Atlantic and Gulf coastlines

Tropical cyclone-driven storm surge and wave database for the US North Atlantic and Gulf coastlines | 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 data-descriptor Tropical cyclone-driven storm surge and wave database for the US North Atlantic and Gulf coastlines Mithun Deb, Karthik Balaguru, Julian Rice, Tim McPherson, Brent Daniel This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8555675/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Historical datasets of tropical cyclone–driven storm surge and waves at moderate coastal resolution are scarce, limiting coastal hazard analysis and AI/ML-based surrogate model development where field observations remain sparse. We present a publicly available hindcast database of surge and wave conditions for 232 U.S. landfalling and impactful storms (1981–2021). We applied the coupled ADCIRC+SWAN system across the entire U.S. North Atlantic and Gulf coastline on a coastal-refined unstructured mesh achieving practical nearshore resolution ( ~100-500 m) to have a computational feasibility. We forced simulations with parametric wind fields from the Generalized Asymmetric Holland Model fitted to NOAA best-track data. For each event, we provide hourly NetCDF files containing water surface elevation, significant wave height, and peak wave period. Users can apply these fields as boundary conditions for higher-resolution local models, train ML model predictors, and conduct coastwide extreme-value analyses. We validated simulations against numerous NOAA tide gauges and NDBC buoys, demonstrating robust water level skill with documented wave biases. This comprehensive basin-scale database enables coastal flood hazard assessment across multiple decades of historical storm surge events. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-8555675","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"data-descriptor","associatedPublications":[],"authors":[{"id":585837392,"identity":"55c9a40a-1864-4632-903e-d351986e5b6a","order_by":0,"name":"Mithun Deb","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAzklEQVRIiWNgGAWjYDACZgY2EMXYIMF8AEhbEKOFGaaFLQFISxBlDUwLjwFxWnTb+Y895t3BINsv3fPtceEOCQZ59x4DvFrMDjOzG/OeYTCeOefsduOZZyQYDM+cIaiFTZq3jSFxw43cbUAGUMuMtATitOy/kfOMRC0bJHLYwFrkJZIPENJiJjm3TcJ4xp1j5sZALTwGPIcJaDl/8JnE2zYb2f7Zzc8e87bZyMm3Nzbg1QIF4OgARxCPAX47UAFYC4M8UXaMglEwCkbBSAIADQc9Eu4OJdQAAAAASUVORK5CYII=","orcid":"","institution":"Pacific Northwest National Laboratory","correspondingAuthor":true,"prefix":"","firstName":"Mithun","middleName":"","lastName":"Deb","suffix":""},{"id":585837396,"identity":"996b6a48-e0c6-482c-9c6a-9742154826f5","order_by":1,"name":"Karthik Balaguru","email":"","orcid":"","institution":"Pacific Northwest National Laboratory","correspondingAuthor":false,"prefix":"","firstName":"Karthik","middleName":"","lastName":"Balaguru","suffix":""},{"id":585837397,"identity":"d509a499-d673-400b-ac3d-379a06e4633c","order_by":2,"name":"Julian Rice","email":"","orcid":"","institution":"Pacific Northwest National Laboratory","correspondingAuthor":false,"prefix":"","firstName":"Julian","middleName":"","lastName":"Rice","suffix":""},{"id":585837399,"identity":"bab923be-c2f1-4b3f-b50e-d66c1c3acc3b","order_by":3,"name":"Tim McPherson","email":"","orcid":"","institution":"Pacific Northwest National Laboratory","correspondingAuthor":false,"prefix":"","firstName":"Tim","middleName":"","lastName":"McPherson","suffix":""},{"id":585837401,"identity":"7d6b02b6-14e9-47d9-ab80-24d28a2475ff","order_by":4,"name":"Brent Daniel","email":"","orcid":"","institution":"Pacific Northwest National Laboratory","correspondingAuthor":false,"prefix":"","firstName":"Brent","middleName":"","lastName":"Daniel","suffix":""}],"badges":[],"createdAt":"2026-01-09 01:23:11","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8555675/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8555675/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":102295550,"identity":"2253dca2-8350-4af7-9262-0cfded65ed3d","added_by":"auto","created_at":"2026-02-10 10:12:28","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":8773082,"visible":true,"origin":"","legend":"","description":"","filename":"TCdrivenwavesandstormsurgesfortheUScoastline.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8555675/v1_covered_e2bf3d13-d7ab-42ce-a0ac-ddd8bdf3f71a.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Tropical cyclone-driven storm surge and wave database for the US North Atlantic and Gulf coastlines","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-8555675/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8555675/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Historical datasets of tropical cyclone–driven storm surge and waves at moderate coastal resolution are scarce, limiting coastal hazard analysis and AI/ML-based surrogate model development where field observations remain sparse. 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