Technical note: DACNO<sub>2</sub> – a multi-constraint deep learning framework for high-resolution 3D NO<sub>2</sub> field estimation
<p>High-resolution 3D fields of nitrogen dioxide (NO<span class="inline-formula"><sub>2</sub></span>) are critical for air quality management and satellite retrievals, yet traditional chemistry-transport models (CTMs) face challenges in fine-scale modeling. Machine learning (ML) alternatives often s...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2026-06-01
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| coleção: | Atmospheric Chemistry and Physics |
| Acesso em linha: | https://acp.copernicus.org/articles/26/7741/2026/acp-26-7741-2026.pdf |
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