{"data":{"id":"10.4121/uuid:01621202-7ec4-4643-84b5-5f9ec2966004","type":"dois","attributes":{"doi":"10.4121/uuid:01621202-7ec4-4643-84b5-5f9ec2966004","prefix":"10.4121","suffix":"uuid:01621202-7ec4-4643-84b5-5f9ec2966004","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"liu, bin","nameType":"Personal","givenName":"bin","familyName":"liu","nameIdentifiers":[{"nameIdentifier":"0000-0003-0258-038X","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]}],"titles":[{"title":"Data from research on optimal water use strategies to mitigate high urban temperatures"}],"publisher":"4TU.Centre for Research Data","container":{},"publicationYear":2019,"subjects":[{"subject":"Environmental Science and Management","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0502"},{"subject":"FOS: Earth and related environmental sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"road sprinkling"},{"subject":"urban irrigation"},{"subject":"Time: 2000/2017"}],"contributors":[{"name":"State Key Laboratory Of Numerical Modeling For Atmospheric Sciences And Geophysical Fluid Dynamics, Institute Of Atmospheric Physics, Chinese Academy Of Sciences, Beijing, China","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]},{"name":"School Of Software Engineering, Chengdu University Of Information Technology, Chengdu, China","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]},{"name":"University Of Chinese Academy Of Sciences, Beijing, China","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2019-09-19","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.5194/hess-25-387-2021","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["media types: application/pdf, application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, application/x-netcdf, application/x-netcdf, application/zip"],"version":"1","rightsList":[{"rights":"Creative Commons Zero v1.0 Universal","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc0-1.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"These data are validation and results of the research on optimal water use strategies to mitigate high urban temperatures, the validation data include both the regional (1km, summer time averaged from 2008-2014, originated from China Meteorological Administration Land Data Assimilation System (CLDAS)) and in-situ data (hourly, from 2000-2017, 20 stations) of Beijing. And the result data is the relationships between cooling effect and water amount which is got from sensitivity analysis of Weather Research and Forecasting (WRF) model (detail data description can see README.doc).","descriptionType":"Abstract"}],"geoLocations":[{"geoLocationPlace":"Beijing","geoLocationPoint":{"pointLatitude":"39.9200","pointLongitude":"116.3800"}}],"fundingReferences":[],"xml":"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","url":"https://data.4tu.nl/articles/dataset/Data_from_resear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