Statistical prediction of the nocturnal urban heat island intensity based on urban morphology and geographical factors - An investigation based on numerical model results for a large ensemble of French cities.

Gardes, Thomas; Schoetter, Robert; Hidalgo, Julia; Long, Nathalie; Marquès, Eva; Masson, Valéry

Gardes, Thomas; Schoetter, Robert; Hidalgo, Julia; Long, Nathalie; Marquès, Eva; Masson, Valéry.

Afiliação

Gardes T; CNRM UMR 3589, Université Fédérale de Toulouse, Météo-France/CNRS, 42, avenue Gaspard Coriolis, 31057 Toulouse, France. Electronic address: thomas.gardes@meteo.fr.
Schoetter R; CNRM UMR 3589, Université Fédérale de Toulouse, Météo-France/CNRS, 42, avenue Gaspard Coriolis, 31057 Toulouse, France.
Hidalgo J; LISST, Université Fédérale de Toulouse - CNRS, 5, allées Antonio Machado, 31058 Toulouse, France.
Long N; UMR LIENSs, La Rochelle Université - CNRS, 2 rue Olympe de Gouges, 17000 La Rochelle, France.
Marquès E; CNRM UMR 3589, Université Fédérale de Toulouse, Météo-France/CNRS, 42, avenue Gaspard Coriolis, 31057 Toulouse, France.
Masson V; CNRM UMR 3589, Université Fédérale de Toulouse, Météo-France/CNRS, 42, avenue Gaspard Coriolis, 31057 Toulouse, France.

Sci Total Environ ; 737: 139253, 2020 Oct 01.

Article em En | MEDLINE | ID: mdl-32783817

Palavras-chave

Local Climate Zones; Random Forest; Regression-based models; Urban heat island intensity; Urban morphology

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2020 Tipo de documento: Article País de publicação: Holanda

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