Improved coastal tides from satellite radar altimeter data

Improved coastal tides from satellite radar altimeter data | 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 Improved coastal tides from satellite radar altimeter data Henrique Guarneri, Martin Verlaan, D. C. Slobbe, F. Zijl, J. Pietrzak, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4632036/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 03 Mar, 2025 Read the published version in Ocean Dynamics → Version 1 posted 9 You are reading this latest preprint version Abstract Tidal prediction models utilizing satellite data have historically demonstrated discrepancies in accuracy across shallow and deep marine environments. Recent insights suggest these gaps may be partly attributed to the overlooked significance of nonlinear tide-surge interactions in such analyses. Our study addresses the challenge of accurately predicting tidal dynamics by focusing on the nonlinear interactions between tides and surges on the northwest European continental shelf. We utilize data from Topex/Poseidon-Jason (TPJ) radar altimeters, integrating them with a nonlinear tide-surge hydrodynamic model (2D-DCSMv7). This approach, which uses a weighted least-squares technique for estimating tidal constituent errors, demonstrates significant improvements in shallow water predictions (less than 200 meters deep), achieving the lowest standard deviation of 6.0 cm and marking improvements of 10% over 2D-DCSMv7 and 20% over XTRACK+DAC. In coastal shallow waters around Great Britain (notably in the English Channel and in the east between Edinburgh and Norwich) and the German Bight, the SDs reduced from $11$~cm to $5$~cm. Although the XTRACK+DAC model performs better in deeper waters, our method exhibits a notable 9% improvement over the 2D-DCSMv7, with consistent results across deep (6.2 cm) and shallow (6 cm) waters. These findings underscore the critical role of integrating nonlinear tide-surge interactions in analyzing satellite radar altimeter data, highlighting our method's capability to narrow the accuracy gap between deep and shallow waters in altimeter-reliant tidal products. tide-surge numerical models nonlinear tide-surge interactions satellite radar altimetry Topex/Poseidon-Jason 2D-DCSMv7 tidal analysis shallow water predictions Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 03 Mar, 2025 Read the published version in Ocean Dynamics → Version 1 posted Editorial decision: Revision requested 05 Aug, 2024 Reviews received at journal 03 Aug, 2024 Reviews received at journal 31 Jul, 2024 Reviewers agreed at journal 22 Jul, 2024 Reviewers agreed at journal 03 Jul, 2024 Reviewers invited by journal 01 Jul, 2024 Editor assigned by journal 25 Jun, 2024 Submission checks completed at journal 25 Jun, 2024 First submitted to journal 24 Jun, 2024 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-4632036","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":326581894,"identity":"a5f2f126-e2b5-4de6-bb46-dc6e068eef1e","order_by":0,"name":"Henrique Guarneri","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6UlEQVRIie3OsUoDQRDG8QkDu80XbDd4JK9wh0UQRV8lh5BHuNYFIWl8gAvkJewtFgbOLqUgWFwQUqVIJ4KgY2NhsXdlwP1XO8v+mCVKpY6w/PfEHIgMZdbr0PYjpvRKgEaHWS9CKPqRKdln9/H4Op4u8f6G6hKYeNPGyLlHNbrf7c4yGT7cYTMHDNk8+rGAuUOQsmYlw4Xg2pBxXWT0GeS2ZmyVfP1s6SK2OdUtM8cYKAk9iIAvsiBFzaZYrTc3SspFnDwtty/7IBN3Iu1hX12NwdK4Q4QQI/97NfAxoNm240EqlUr9+74Bh9lFAhkuY9kAAAAASUVORK5CYII=","orcid":"","institution":"Delft University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Henrique","middleName":"","lastName":"Guarneri","suffix":""},{"id":326581896,"identity":"7f815e0b-7d5c-4217-bc18-ae5a17bcf2da","order_by":1,"name":"Martin Verlaan","email":"","orcid":"","institution":"Deltares","correspondingAuthor":false,"prefix":"","firstName":"Martin","middleName":"","lastName":"Verlaan","suffix":""},{"id":326581898,"identity":"d58c172e-738f-48fe-a538-fe1adc47b35c","order_by":2,"name":"D. 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Recent insights suggest these gaps may be partly attributed to the overlooked significance of nonlinear tide-surge interactions in such analyses. Our study addresses the challenge of accurately predicting tidal dynamics by focusing on the nonlinear interactions between tides and surges on the northwest European continental shelf. We utilize data from Topex/Poseidon-Jason (TPJ) radar altimeters, integrating them with a nonlinear tide-surge hydrodynamic model (2D-DCSMv7). This approach, which uses a weighted least-squares technique for estimating tidal constituent errors, demonstrates significant improvements in shallow water predictions (less than 200 meters deep), achieving the lowest standard deviation of 6.0 cm and marking improvements of 10\\% over 2D-DCSMv7 and 20\\% over XTRACK+DAC. In coastal shallow waters around Great Britain (notably in the English Channel and in the east between Edinburgh and Norwich) and the German Bight, the SDs reduced from $11$~cm to $5$~cm. Although the XTRACK+DAC model performs better in deeper waters, our method exhibits a notable 9\\% improvement over the 2D-DCSMv7, with consistent results across deep (6.2 cm) and shallow (6 cm) waters. These findings underscore the critical role of integrating nonlinear tide-surge interactions in analyzing satellite radar altimeter data, highlighting our method's capability to narrow the accuracy gap between deep and shallow waters in altimeter-reliant tidal products.","manuscriptTitle":"Improved coastal tides from satellite radar altimeter data","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-07-17 03:49:28","doi":"10.21203/rs.3.rs-4632036/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-08-05T07:42:19+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-08-03T09:20:15+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-07-31T05:30:25+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"229753021884404484248211301097089458118","date":"2024-07-22T08:07:56+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"147524636626961451510730212117699383828","date":"2024-07-03T07:51:27+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-07-01T08:14:14+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-06-26T03:24:47+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-06-26T03:23:39+00:00","index":"","fulltext":""},{"type":"submitted","content":"Ocean Dynamics","date":"2024-06-24T19:07:24+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"ocean-dynamics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"odyn","sideBox":"Learn more about [Ocean Dynamics](https://link.springer.com/journal/10236)","snPcode":"10236","submissionUrl":"https://submission.springernature.com/new-submission/10236/3","title":"Ocean Dynamics","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"5ee1d1ae-4bec-40dd-b97c-069f5cbc4846","owner":[],"postedDate":"July 17th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-03-10T17:47:04+00:00","versionOfRecord":{"articleIdentity":"rs-4632036","link":"https://doi.org/10.1007/s10236-025-01667-6","journal":{"identity":"ocean-dynamics","isVorOnly":false,"title":"Ocean Dynamics"},"publishedOn":"2025-03-03 15:57:42","publishedOnDateReadable":"March 3rd, 2025"},"versionCreatedAt":"2024-07-17 03:49:28","video":"","vorDoi":"10.1007/s10236-025-01667-6","vorDoiUrl":"https://doi.org/10.1007/s10236-025-01667-6","workflowStages":[]},"version":"v1","identity":"rs-4632036","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4632036","identity":"rs-4632036","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}