{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1363670321146352640.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.5194/essd-10-1783-2018"}},{"identifier":{"@type":"URI","@value":"https://essd.copernicus.org/articles/10/1783/2018/essd-10-1783-2018.pdf"}}],"dc:title":[{"@value":"Integrated high-resolution dataset of high-intensity European and Mediterranean flash floods"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:p>Abstract. This paper describes an integrated, high-resolution dataset of hydro-meteorological variables (rainfall and discharge) concerning a number of high-intensity flash floods that occurred in Europe and in the Mediterranean region from 1991 to 2015. This type of dataset is rare in the scientific literature because flash floods are typically poorly observed hydrological extremes. Valuable features of the dataset (hereinafter referred to as the EuroMedeFF database) include (i) its coverage of varied hydro-climatic regions, ranging from Continental Europe through the Mediterranean to Arid climates, (ii) the high space–time resolution radar rainfall estimates, and (iii) the dense spatial sampling of the flood response, by observed hydrographs and/or flood peak estimates from post-flood surveys. Flash floods included in the database are selected based on the limited upstream catchment areas (up to 3000 km2), the limited storm durations (up to 2 days), and the unit peak flood magnitude. The EuroMedeFF database comprises 49 events that occurred in France, Israel, Italy, Romania, Germany and Slovenia, and constitutes a sample of rainfall and flood discharge extremes in different climates. The dataset may be of help to hydrologists as well as other scientific communities because it offers benchmark data for the identification and analysis of the hydro-meteorological causative processes, evaluation of flash flood hydrological models and for hydro-meteorological forecast systems. The dataset also provides a template for the analysis of the space–time variability of flash flood triggering rainfall fields and of the effects of their estimation on the flood response modelling. The dataset is made available to the public with the following DOI: https://doi.org/10.6096/MISTRALS-HyMeX.1493.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1383670321146352524","@type":"Researcher","foaf:name":[{"@value":"William Amponsah"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670321146352523","@type":"Researcher","foaf:name":[{"@value":"Pierre-Alain Ayral"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670321146352520","@type":"Researcher","foaf:name":[{"@value":"Brice Boudevillain"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670321146352640","@type":"Researcher","foaf:name":[{"@value":"Christophe Bouvier"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670321146352643","@type":"Researcher","foaf:name":[{"@value":"Isabelle Braud"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670321146352518","@type":"Researcher","foaf:name":[{"@value":"Pascal Brunet"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670321146352521","@type":"Researcher","foaf:name":[{"@value":"Guy Delrieu"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670321146352641","@type":"Researcher","foaf:name":[{"@value":"Jean-François Didon-Lescot"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670321146352512","@type":"Researcher","foaf:name":[{"@value":"Eric Gaume"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670321146352642","@type":"Researcher","foaf:name":[{"@value":"Laurent Lebouc"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670321146352519","@type":"Researcher","foaf:name":[{"@value":"Lorenzo Marchi"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670321146352514","@type":"Researcher","foaf:name":[{"@value":"Francesco Marra"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670321146352522","@type":"Researcher","foaf:name":[{"@value":"Efrat Morin"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670321146352515","@type":"Researcher","foaf:name":[{"@value":"Guillaume Nord"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670321146352513","@type":"Researcher","foaf:name":[{"@value":"Olivier Payrastre"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670321146352517","@type":"Researcher","foaf:name":[{"@value":"Davide Zoccatelli"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670321146352516","@type":"Researcher","foaf:name":[{"@value":"Marco Borga"}]}],"publication":{"publicationIdentifier":[{"@type":"EISSN","@value":"18663516"}],"prism:publicationName":[{"@value":"Earth System Science Data"}],"dc:publisher":[{"@value":"Copernicus GmbH"}],"prism:publicationDate":"2018-10-05","prism:volume":"10","prism:number":"4","prism:startingPage":"1783","prism:endingPage":"1794"},"reviewed":"false","dc:rights":["https://creativecommons.org/licenses/by/4.0/"],"url":[{"@id":"https://essd.copernicus.org/articles/10/1783/2018/essd-10-1783-2018.pdf"}],"createdAt":"2018-10-05","modifiedAt":"2025-02-01","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/2050870367075064960","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Ensemble flash flood predictions using a high-resolution nationwide distributed rainfall-runoff model : case study of the heavy rain event of July 2018 and Typhoon Hagibis in 2019"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.5194/essd-10-1783-2018"},{"@type":"CROSSREF","@value":"10.1186/s40645-020-00391-7_references_DOI_EvGtfJIuRHv2ao2lyOTOctpEtIm"}]}