{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T16:00:38Z","timestamp":1772640038985,"version":"3.50.1"},"publisher-location":"Cham","reference-count":5,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032154729","type":"print"},{"value":"9783032154736","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T00:00:00Z","timestamp":1772668800000},"content-version":"vor","delay-in-days":63,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>The scarcity of high-resolution in situ data hampers effective storm impact assessment and the development of early warning systems for coastal barriers worldwide. This study introduces a novel methodology utilising a SWAN-XBeach modelling chain, leveraging global hydrodynamic (WAVERYS and GTSM) and topo-bathymetric (TanDEM-X and ETOPO2022) datasets to perform first-order, globally applicable storm impact assessments for barrier coasts. The approach is validated with high-resolution data from Duck, North Carolina, using pre- and post-storm topographic LiDAR, recorded wave conditions and water levels.<\/jats:p>\n                  <jats:p>The results indicate that global datasets can reasonably reproduce barrier erosion patterns, despite underestimation of total water levels and dune morphology due to the coarse resolution and inaccuracies in the GTSM and TanDEM-X data. The simulations effectively capture dune retreat and erosion trends, aligning with measured data, but inconsistencies are observed in morphological changes for the upper beach face. These discrepancies are likely due to differences in intertidal elevation and beach face steepness between the LiDAR data and global models at Duck. Additionally, the approach does not account for short-scale (~100\u00a0m) longshore variability, which can contribute to deviations in modelled results.<\/jats:p>\n                  <jats:p>This study demonstrates the potential of global datasets for storm impact modelling, providing a first-order assessment with relevant information about storm-induced erosion, which can be particularly useful in areas lacking high resolution data. However, it also highlights the need for further validation across diverse sites to enhance reliability and address methodological constraints.<\/jats:p>","DOI":"10.1007\/978-3-032-15473-6_29","type":"book-chapter","created":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T10:32:05Z","timestamp":1772620325000},"page":"185-190","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Can Global Datasets Be Used to Predict Storm-Induced Coastal Erosion?"],"prefix":"10.1007","author":[{"given":"Valeria","family":"Fanti","sequence":"first","affiliation":[]},{"given":"\u00d3scar","family":"Ferreira","sequence":"additional","affiliation":[]},{"given":"Carlos","family":"Loureiro","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,3,5]]},"reference":[{"issue":"2","key":"29_CR1","doi-asserted-by":"publisher","first-page":"207","DOI":"10.2112\/09-1190.1","volume":"27","author":"ML Stutz","year":"2011","unstructured":"Stutz ML, Pilkey OH (2011) Open-ocean barrier islands: global influence of climatic, oceanographic, and depositional settings. J Coastal Res 27(2):207\u2013222","journal-title":"J Coastal Res"},{"key":"29_CR2","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1146\/annurev-marine-032221-090215","volume":"14","author":"CR Sherwood","year":"2022","unstructured":"Sherwood CR, Van Dongeren A, Doyle J et al (2022) Modeling the morphodynamics of coastal responses to extreme events: what shape are we in? Ann Rev Mar Sci 14:457\u2013492","journal-title":"Ann Rev Mar Sci"},{"key":"29_CR3","doi-asserted-by":"crossref","unstructured":"Spore, N. J., Renaud, A. D., Conery, I. W. & Brodie K. L. Coastal Lidar and Radar Imaging System (CLARIS) Lidar Data Report: 2011\u20132017 (2019)","DOI":"10.21079\/11681\/33377"},{"issue":"3","key":"29_CR4","doi-asserted-by":"publisher","first-page":"2007","DOI":"10.1007\/s00382-023-07017-w","volume":"62","author":"V K\u00fcmmerer","year":"2024","unstructured":"K\u00fcmmerer V, Ferreira \u00d3, Fanti V, Loureiro C (2024) Storm identification for high-energy wave climates as a tool to improve long-term analysis. Clim Dyn 62(3):2007\u20132226","journal-title":"Clim Dyn"},{"issue":"1","key":"29_CR5","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1038\/s43247-023-00819-0","volume":"4","author":"V Fanti","year":"2023","unstructured":"Fanti V, Ferreira \u00d3, K\u00fcmmerer V, Loureiro C (2023) Improved estimates of extreme wave conditions in coastal areas from calibrated global reanalyses. Communications Earth & Environment 4(1):151","journal-title":"Communications Earth & Environment"}],"container-title":["Coastal Research Library","Coastal Dynamics 2025"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-15473-6_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T10:32:06Z","timestamp":1772620326000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-15473-6_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032154729","9783032154736"],"references-count":5,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-15473-6_29","relation":{},"ISSN":["2211-0577","2211-0585"],"issn-type":[{"value":"2211-0577","type":"print"},{"value":"2211-0585","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"5 March 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Coastal Dynamics conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Aveiro","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 April 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cd-32025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/coastaldynamics25.web.ua.pt\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}