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Modeling downwind, urban heat island and rainfall, using a machine learning–integrated spatiotemporal framework

;

In
City and environment interactions 30, Seiten/Artikel-Nr.:100357

ImpressumAmsterdam : Elsevier

Umfang[1]-16

ISSN2590-2520

Online
DOI: 10.1016/j.cacint.2026.100357

DOI: 10.18154/RWTH-2026-04764
URL: https://publications.rwth-aachen.de/record/1034502/files/1034502.pdf

Einrichtungen

  1. Lehrstuhl und Institut für Nachhaltigkeit im Bauwesen (316710)


Thematische Einordnung (Klassifikation)
DDC: 300

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105035405193
WOS Core Collection: WOS:001745293000001

Interne Identnummern
RWTH-2026-04764
Datensatz-ID: 1034502

Beteiligte Länder
Germany, Iran

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; DOAJ Seal ; Emerging Sources Citation Index ; Fees ; IF < 5 ; JCR ; SCOPUS ; Web of Science Core Collection
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316710
 Record created 2026-05-04, last modified 2026-05-08
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