Reference:Reference-038126
From CSDMS
Publication information
| Author(s) | Shams, Seyedeh Reyhaneh; Choi, Yunsoo; Singh, Deveshwar; Ghahremanloo, Masoud; Momeni, Mahmoudreza; Park, Jincheol; |
| BibType | journalArticle |
| Title | Innovative approaches for accurate ozone prediction and health risk analysis in South Korea: The combined effectiveness of deep learning and AirQ+ |
| Year | 2024-10 |
| Journal | Science of The Total Environment |
| Volume | 946 |
| Pages | 174158 |
| URL | https://linkinghub.elsevier.com/retrieve/pii/S0048969724043067 |
| DOI | 10.1016/j.scitotenv.2024.174158 |
| Note | Auto downloaded ref at: 2026-06-12 |
Open Access
| Icon | Status | Best URL | Best PDF URL | License | Version | Last checked |
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green | acceptedVersion | 2026-10-15 |
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| link | repository | acceptedVersion |
Additional information
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| Feature reference | No | |
| Semantic_ID | 8751c9d9832442233cd12125113dba38f07497c7 | |
| Nr of citations | 10 | |
| Sort of publication | a module application description | |
| Sort of model publication | a single module | |
| Is the CSDMS HPC used | No | |
| If HPC is used, for what project was it?: | ||
| Associated simulation movie if any: |
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| Model(s) discussed: | WRF
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