A semi-empirical approach to estimate the future frequency of extreme sea level events: The case study of Trieste (north Adriatic)

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A semi-empirical approach to estimate the future frequency of extreme sea level events: The case study of Trieste (north Adriatic) | 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 A semi-empirical approach to estimate the future frequency of extreme sea level events: The case study of Trieste (north Adriatic) Fabio Raicich, Davide Bonaldo This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6860208/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 27 Feb, 2026 Read the published version in Natural Hazards → Version 1 posted 5 You are reading this latest preprint version Abstract This paper describes a semi-empirical methodology to estimate the future evolution of the frequency of extreme sea level events, combining the outputs of climate models, the IPCC projections of the mean sea level in given scenarios, and the statistical distribution of extreme events deduced from the observations. The application is carried out to the case study of Trieste, in the north Adriatic, for which over 100 y of observed sea level data are available, in an extreme and in a mild climate scenario. The climate models runs cover the period from 1987 to 2100. The extreme sea level events are quantified by the daily mean sea level, that mainly accounts for the role played by the atmospheric forcing, and by the daily Highest High Waters, that allow to directly assess the impact of the extreme sea level events on the urban environment. An increase in the frequency of those events is evident mainly in connection with the mean sea level rise, while the atmospheric forcing appears to play a minor role. By the end of the 21st century the extreme sea level events are expected to become more than one order of magnitude more frequent than in the current climate. Although large uncertainties affect the estimated frequencies of future events, there is indication of a remarkably fast increase during the second half of the century, which raises the problem of a rapid response to adapt the urban environment to the expected changes. Sea level extreme events coastal flooding multidecadal variability climate projections Full Text Supplementary Files Supplementarymaterial.pdf Cite Share Download PDF Status: Published Journal Publication published 27 Feb, 2026 Read the published version in Natural Hazards → Version 1 posted Editorial decision: Minor revisions 25 Aug, 2025 Reviewers agreed at journal 12 Jun, 2025 Reviewers invited by journal 11 Jun, 2025 Editor assigned by journal 10 Jun, 2025 First submitted to journal 09 Jun, 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. 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-6860208","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":470026422,"identity":"7833cd0e-ee5c-4930-b502-5fde277b54ed","order_by":0,"name":"Fabio Raicich","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0UlEQVRIiWNgGAWjYBAC9gYehgMgBhsDYwMzQwWIydiAVwvPARQtZ8BaGvHqAWmBA2bGNgbC1vCwnz144APDPXk+9sONnwvn2eWZNzC3P8CrhScv4eAMhmLDNp7EZumZ25KLZQ4QcJg9Q47BYR6GBMY2CcY2Zt5tBxJnEPQL/xuwFnuIljnEaJGA2JII0dJAlJZ3QL8YJCSD/cJzLDlxBjNj4wz8Dss9/OFDRYLt/PbjDz/z1NglzmBvf/ABnxYIMEDmMBNWPwpGwSgYBaOAAAAAFzpFJMD2+XEAAAAASUVORK5CYII=","orcid":"https://orcid.org/0000-0002-4675-5404","institution":"Marine Science Research Institute National Research Council: Istituto di scienze marine Consiglio Nazionale delle Ricerche","correspondingAuthor":true,"prefix":"","firstName":"Fabio","middleName":"","lastName":"Raicich","suffix":""},{"id":470026423,"identity":"4d16e7c2-75c8-4f23-994a-bfd18480f4e8","order_by":1,"name":"Davide Bonaldo","email":"","orcid":"","institution":"Marine Science Research Institute National Research Council: Istituto di scienze marine Consiglio Nazionale delle Ricerche","correspondingAuthor":false,"prefix":"","firstName":"Davide","middleName":"","lastName":"Bonaldo","suffix":""}],"badges":[],"createdAt":"2025-06-10 07:25:13","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6860208/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6860208/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s11069-025-07879-9","type":"published","date":"2026-02-27T15:58:49+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":103765647,"identity":"0f4e1bb4-9689-4f1d-8a79-255520e670a1","added_by":"auto","created_at":"2026-03-02 16:06:33","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":743335,"visible":true,"origin":"","legend":"","description":"","filename":"RaicichBonaldomanuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6860208/v1_covered_842d3804-6def-4d43-a653-19ffa90a1f4b.pdf"},{"id":84667281,"identity":"3301f57e-a7e7-4abe-9ceb-ba90f74b3ad2","added_by":"auto","created_at":"2025-06-16 05:54:26","extension":"pdf","order_by":4,"title":"","display":"","copyAsset":false,"role":"supplement","size":116654,"visible":true,"origin":"","legend":"","description":"","filename":"Supplementarymaterial.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6860208/v1/6e26a008dce674b49b861256.pdf"}],"financialInterests":"","formattedTitle":"A semi-empirical approach to estimate the future frequency of extreme sea level events: The case study of Trieste (north Adriatic)","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"natural-hazards","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"nhaz","sideBox":"Learn more about [Natural Hazards](https://www.springer.com/journal/11069)","snPcode":"11069","submissionUrl":"https://submission.nature.com/new-submission/11069/3","title":"Natural Hazards","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Sea level, extreme events, coastal flooding, multidecadal variability, climate projections","lastPublishedDoi":"10.21203/rs.3.rs-6860208/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6860208/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"This paper describes a semi-empirical methodology to estimate the future evolution of the frequency of extreme sea level events, combining the outputs of climate models, the IPCC projections of the mean sea level in given scenarios, and the statistical distribution of extreme events deduced from the observations. 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