Development of a Machine Learning Approach for Local-Scale Ozone Forecasting: Application to Kennewick, WA

Chemical transport models (CTMs) are widely used for air quality forecasts, but these models require large computational resources and often suffer from a systematic bias that leads to missed poor air pollution events. For example, a CTM-based operational forecasting system for air quality over the...

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Detalles Bibliográficos
Autores principales: Fan, Kai, Dhammapala, Ranil, Harrington, Kyle, Lamastro, Ryan, Lamb, Brian, Lee, Yunha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8883518/
https://www.ncbi.nlm.nih.gov/pubmed/35237751
http://dx.doi.org/10.3389/fdata.2022.781309

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8883518/
https://www.ncbi.nlm.nih.gov/pubmed/35237751
http://dx.doi.org/10.3389/fdata.2022.781309

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