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Article: Optimize urban shade using digital twins of cities

TitleOptimize urban shade using digital twins of cities
Authors
KeywordsClimate change
Computer science
Environmental sciences
Issue Date2023
Citation
Nature, 2023, v. 622, n. 7982, p. 242 How to Cite?
AbstractLetter to the Editor.
Persistent Identifierhttp://hdl.handle.net/10722/342809
ISSN
2023 Impact Factor: 50.5
2023 SCImago Journal Rankings: 18.509
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, Bin-
dc.contributor.authorLin, Chen-
dc.contributor.authorGong, Peng-
dc.contributor.authorAn, Jiafu-
dc.date.accessioned2024-04-26T02:27:34Z-
dc.date.available2024-04-26T02:27:34Z-
dc.date.issued2023-
dc.identifier.citationNature, 2023, v. 622, n. 7982, p. 242-
dc.identifier.issn0028-0836-
dc.identifier.urihttp://hdl.handle.net/10722/342809-
dc.description.abstractLetter to the Editor.-
dc.languageeng-
dc.relation.ispartofNature-
dc.subjectClimate change-
dc.subjectComputer science-
dc.subjectEnvironmental sciences-
dc.titleOptimize urban shade using digital twins of cities-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1038/d41586-023-03189-x-
dc.identifier.pmid37817037-
dc.identifier.scopuseid_2-s2.0-85173655835-
dc.identifier.volume622-
dc.identifier.issue7982-
dc.identifier.spage242-
dc.identifier.epage-
dc.identifier.eissn1476-4687-
dc.identifier.isiWOS:001085738200018-

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