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

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

Abstract 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...

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Bibliographic Details
Main Authors:	Alqamah Sayeed, Yunsoo Choi, Ebrahim Eslami, Jia Jung, Yannic Lops, Ahmed Khan Salman, Jae-Bum Lee, Hyun-Ju Park, Min-Hyeok Choi
Format:	Article
Language:	English
Published:	Nature Portfolio 2021-05-01
Series:	Scientific Reports
Online Access:	https://doi.org/10.1038/s41598-021-90446-6

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