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Deep Learning to implement a Statistical Weather Forecast for the Andean City of Quito

Ricardo Llugsi Canar Allyx Fontaine Pablo Lupera Morillo Samira El Yacoubi 1
1 IMAGES-Espace DEV - Institut de Modélisation et d'Analyses en géo-environnement et santé - Espace Développement
UMR 228 Espace-Dev, Espace pour le développement
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Conference papers
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https://hal-univ-perp.archives-ouvertes.fr/hal-03041898
Contributor : Samira El Yacoubi Connect in order to contact the contributor
Submitted on : Saturday, December 5, 2020 - 4:57:19 PM
Last modification on : Wednesday, November 3, 2021 - 8:03:37 AM

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UNIV-PERP | UNIV-AVIGNON | AFRIQ | UNIV-AG | ESPACE-DEV | AGROPOLIS | MIPS | UNIV-MONTPELLIER | GUYANE

Citation

Ricardo Llugsi Canar, Allyx Fontaine, Pablo Lupera Morillo, Samira El Yacoubi. Deep Learning to implement a Statistical Weather Forecast for the Andean City of Quito. 2020 IEEE ANDESCON, Oct 2020, Quito, Ecuador. pp.1-6, ⟨10.1109/ANDESCON50619.2020.9272106⟩. ⟨hal-03041898⟩

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