Výsledky vyhledávání - "Gaël Descombes"

Technical note: Improving the European air quality forecast of the Copernicus Atmosphere Monitoring Service using machine learning techniques

Autor: Jean-Maxime Bertrand, Frédérik Meleux, Anthony Ung, Gaël Descombes, Augustin Colette

Model output statistics (MOS) approaches relying on machine learning algorithms were applied to downscale regional air quality forecasts produced by CAMS (Copernicus Atmosphere Monitoring Service) at hundreds of monitoring sites across Europe. Beside

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b16d9ae36f22b0e0922b5a9f6f56a2e4
https://acp.copernicus.org/articles/23/5317/2023/

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Technical note: Improving the European air quality forecast of Copernicus Atmosphere Monitoring Service using machine learning techniques

Autor: Jean-Maxime Bertrand, Frédérik Meleux, Anthony Ung, Gaël Descombes, Augustin Colette

Model Output Statistics (MOS) approaches relying on machine learning algorithms were applied to downscale regional air quality forecasts produced by CAMS (Copernicus Atmosphere Monitoring Service) at hundreds of monitoring sites across Europe. Beside

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7be5db525658331d088b478d5e045bcb
https://doi.org/10.5194/acp-2022-767

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Recommendations and Generic Data Assimilation Tools for the Improvement of CAMS Regional Air Quality Service

Autor: Renske Timmermans, Arjo Segers, Enrico Dammers, Oriol Jorba, Dene Bowdalo, Hilde Fagerli, Alvaro Valdebenito, Augustin Colette, Gaël Descombes, Rostislav Kouznetsov, Andreas Uppstu, Martijn Schaap

Publikováno v: Air Pollution Modeling and its Application XXVIII ISBN: 9783031127854

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f82ce3001d8ae764cd325b33371f8679
https://doi.org/10.1007/978-3-031-12786-1_22

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