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"scheme": "ror" }, { "identifier": "grid.487845.2", "scheme": "grid" }, { "identifier": "0000 0004 5936 5688", "scheme": "isni" } ], "name": "Water Institute of the Gulf" } ], "person_or_org": { "family_name": "Diaz Garcia", "given_name": "Ovel", "name": "Diaz Garcia, Ovel", "type": "personal" }, "role": { "id": "datamanager", "title": { "de": "DatenmanagerIn", "en": "Data manager" } } } ], "dates": [ { "date": "2017-09-03", "description": "This is the range for which time series output is available", "type": { "id": "updated", "title": { "de": "Aktualisiert", "en": "Updated" } } } ], "description": "

This online repository includes time series output from a Hurricane Irma (2017) simulation from an existing numerical model simulation of Hurricane Irma using the ADvanced CIRCulation Model (ADCIRC; Luettich et al., 1992; Westerink et al., 1993) coupled with the wave model Simulating WAves Nearshore (SWAN; Booij et al., 1999). The simulation that was used to extract the time series results is detailed in Contreras et al. (2023) and employed Oceanweather, Inc wind re-analysis hindcast fields prepared for Hurricane Irma in 2017 (see Contreras et al., 2023 for details on model development and calibration). The time series output included surge height (relative to datum), inundation depth, and wave characteristics (significant wave height, wave period, wave direction) every 20 minutes. Because the bathymetry in the model is referenced to the North American Vertical Datum of 1988 (NAVD88), all storm surge heights were reported in NAVD88 to ensure direct comparability with elevation measurements at each of our sites and to accurately represent the inundation magnitude and duration. Wave directions from SWAN are expressed in Nautical convention (i.e., the direction where the wind or the waves come from, measured clockwise from geographic North). Wave energy was calculated using linear wave theory.

", "funding": [ { "award": { "number": "EAR-2022982", "title": { "en": "Collaborative Research: Hurricane Sedimentation on Saltmarshes: Process, Provenance, and Contribution to Long - Term Marsh Resilience" } }, "funder": { "id": "021nxhr62", "name": "U.S. National Science Foundation" } } ], "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2025-07-21", "publisher": "Zenodo", "resource_type": { "id": "model", "title": { "de": "Modell", "en": "Model" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "id": "mesh:D057446", "scheme": "MeSH", "subject": "Hydrodynamics" } ], "title": "Time series model output from ADCIRC-SWAN simulation of Hurricane Irma (2017) along the Atlantic Seaboard used for correlating hurricane deposit thickness" }, "parent": { "access": { "owned_by": { "user": "504318" }, "settings": { "accept_conditions_text": null, "allow_guest_requests": false, "allow_user_requests": false, "secret_link_expiration": 0 } }, "communities": {}, "id": "16284832", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.16284832", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.16284833", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:16284833", "provider": "oai" } }, "revision_id": 6, "stats": { "all_versions": { "data_volume": 2432796128.0, "downloads": 66, "unique_downloads": 63, "unique_views": 38, "views": 43 }, "this_version": { "data_volume": 2432796128.0, "downloads": 66, "unique_downloads": 63, "unique_views": 38, "views": 43 } }, "status": "published", "swh": {}, "updated": "2025-07-21T22:11:17.783891+00:00", "versions": { "index": 1, "is_latest": true } }