A novel CMAQ-CNN hybrid model to forecast hourly surface-ozone concentrations 14 days in advance

Issues regarding air quality and related health concerns have prompted this study, which develops an accurate and computationally fast, efficient hybrid modeling system that combines numerical modeling and machine learning for forecasting concentrations of surface ozone. Currently available numerica...

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Detalles Bibliográficos
Autores principales: Sayeed, Alqamah, Choi, Yunsoo, Eslami, Ebrahim, Jung, Jia, Lops, Yannic, Salman, Ahmed Khan, Lee, Jae-Bum, Park, Hyun-Ju, Choi, Min-Hyeok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149875/
https://www.ncbi.nlm.nih.gov/pubmed/34035417
http://dx.doi.org/10.1038/s41598-021-90446-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149875/
https://www.ncbi.nlm.nih.gov/pubmed/34035417
http://dx.doi.org/10.1038/s41598-021-90446-6

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