Ultra-high-resolution modeling of ground-level ozone for long-term exposure risk assessment driven by GTR-transformer
To address the demand for fine-grained, long-term exposure assessment of ground-level ozone pollution in China, this study overcomes the limitations of traditional kilometer-level resolution modeling by developing the geo-temporal transformer with residual enhancement (GTR-Transformer) model. This m...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Environment International |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0160412025004568 |
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