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Exploring the potential of machine learning for simulations of urban ozone variability
Machine learning (ML) has emerged as a powerful technique in the Earth system science, nevertheless, its potential to model complex atmospheric chemistry remains largely unexplored. Here, we applied ML to simulate the variability in urban ozone (O(3)) over Doon valley of the Himalaya. The ML model,...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8602617/ https://www.ncbi.nlm.nih.gov/pubmed/34795336 http://dx.doi.org/10.1038/s41598-021-01824-z |