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"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "A global ensemble of ocean wave climate statistics from contemporary wave reanalysis and hindcasts", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70232629", "url": "https://pubs.usgs.gov/publication/70232629" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70232629 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1038/s41597-022-01459-3", "url": "https://doi.org/10.1038/s41597-022-01459-3" } ], "journal": { "@type": "Periodical", "name": "Scientific Data", "volumeNumber": "9", "issueNumber": "1" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Scientific Data" } ], "datePublished": "2022", "dateModified": "2022-07-11", "abstract": "There are numerous global ocean wave reanalysis and hindcast products currently being distributed and used across different scientific fields. However, there is not a consistent dataset that can sample across all existing products based on a standardized framework. Here, we present and describe the first coordinated multi-product ensemble of present-day global wave fields available to date. This dataset, produced through the Coordinated Ocean Wave Climate Project (COWCLIP) phase 2, includes general and extreme statistics of significant wave height (Hs), mean wave period (Tm) and mean wave direction (\u03b8m) computed across 1980\u20132014, at different frequency resolutions (monthly, seasonally, and annually). This coordinated global ensemble has been derived from fourteen state-of-the-science global wave products obtained from different atmospheric reanalysis forcing and downscaling methods. This data set has been processed, under a specific framework for consistency and quality, following standard Data Reference Syntax, Directory Structures and Metadata specifications. This new comprehensive dataset provides support to future broad-scale analysis of historical wave climatology and variability as well as coastal risk and vulnerability assessments across offshore and coastal engineering applications.", "description": "358, 8 p.", "publisher": { "@type": "Organization", "name": "Nature" }, "author": [ { "@type": "Person", "name": "Mentaschi, Lorenzo", "givenName": "Lorenzo", "familyName": "Mentaschi", "affiliation": [ { "@type": "Organization", "name": "European Commission" } ] }, { "@type": "Person", "name": "Trenham, Claire", "givenName": "Claire", "familyName": "Trenham", "affiliation": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO) Oceans and Atmosphere, Hobart, Tasmania, Australia" } ] }, { "@type": "Person", "name": "Stopa, Justin", "givenName": "Justin", "familyName": "Stopa", "affiliation": [ { "@type": "Organization", "name": "UH" } ] }, { "@type": "Person", "name": "Shimura, T.", "givenName": "T.", "familyName": "Shimura", "affiliation": [ { "@type": "Organization", "name": "Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan" } ] }, { "@type": "Person", "name": "Mori, Nobuhito", "givenName": "Nobuhito", "familyName": "Mori", "affiliation": [ { "@type": "Organization", "name": "Kyoto University" } ] }, { "@type": "Person", "name": "Wang, Xiaochun", "givenName": "Xiaochun", "familyName": "Wang", "affiliation": [ { "@type": "Organization", "name": "California Department of Water Resources, Sacramento, CA, 95819" } ] }, { "@type": "Person", "name": "Young, Ian", "givenName": "Ian", "familyName": "Young", "affiliation": [ { "@type": "Organization", "name": "Department of Infrastructure Engineering, University of Melbourne, Parkville, Victoria, Australia." } ] }, { "@type": "Person", "name": "Hemer, Mark", "givenName": "Mark", "familyName": "Hemer", "affiliation": [ { "@type": "Organization", "name": "CSIRO" } ] }, { "@type": "Person", "name": 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