{
  "abstract": "This study presents a systematic evaluation of the EPICC-Model developed in China for regional PM 2.5 and MDA8 O ₃ simulations against established international models, using WRF meteorological fields and a multi-source integrated emission inventory. Results highlight the strengths of the EPICC-Model in several aspects: it achieves relatively high spatial consistency with measurements for PM 2.5 , with an annual index of agreement (IOA) of 0.80, and accurately captures pollution patterns in heavily polluted North China. It also demonstrates improved performance in simulating summer O ₃ peaks, reducing maximum bias by more than 20 µg m ⁻³ ; this performance may be partly associated with its inclusion of heterogeneous HONO formation and particulate nitrate photolysis. The model exhibits the highest hit rate (45.6 %) for MDA8 O ₃ pollution events exceeding 160 µg m ⁻³ and successfully reproduces persistent pollution episodes. However, all models share common limitations, including insufficient capability in reproducing heavy pollution episodes, systematic underestimation of SO42-, and uncertainties in SOA-related OC simulations. Future improvements should focus on refining secondary aerosol chemistry and emission inventories and further evaluating the representation of vertical turbulent mixing under stable boundary-layer conditions. This study benchmarks the performance of the EPICC-Model against established chemical transport models (CTMs) and identifies priorities for its further development and regional application.",
  "abstract_shown": true,
  "affiliations": [
    "Beijing Normal University (Beijing, China)",
    "Institute of Atmospheric Physics (Beijing, China)",
    "University of Chinese Academy of Sciences (Beijing, China)"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 11,
  "authors": [
    {
      "name": "Mengjie Lou"
    },
    {
      "affs": [
        0
      ],
      "name": "Qizhong Wu",
      "orcid": "0000-0001-6308-3083"
    },
    {
      "affs": [
        1,
        2
      ],
      "name": "Wending Wang"
    },
    {
      "name": "Huansheng Chen"
    },
    {
      "name": "Kai Cao"
    },
    {
      "name": "Xiaohan Fan"
    },
    {
      "name": "Dingyue Liang"
    },
    {
      "name": "Fenfen Yu"
    },
    {
      "name": "Jiating Zhang"
    },
    {
      "name": "Wei Wang"
    },
    {
      "name": "Zifa Wang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/2h67z14ggmec9.bib",
  "cited_by": 0,
  "doi": "10.5194/gmd-19-9651-2026",
  "fulltext_url": null,
  "id": "2h67z14ggmec9",
  "issns": [
    "1991-9603"
  ],
  "landing_url": "https://gmd.copernicus.org/articles/19/9651/2026/",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "1902|Atmospheric chemistry and aerosols"
    ]
  ],
  "openalex": "W4415836444",
  "pdf_url": "https://gmd.copernicus.org/articles/19/9651/2026/gmd-19-9651-2026.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-12",
  "publisher": "Copernicus GmbH",
  "ris": "https://research.draconitic.com/paper/2h67z14ggmec9.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:49Z",
      "native_id": "10.5194/gmd-19-9651-2026",
      "source": "crossref",
      "url": "https://gmd.copernicus.org/articles/19/9651/2026/"
    }
  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "openalex:1902|Atmospheric chemistry and aerosols",
      "subfield": "atmospheric"
    }
  ],
  "title": "Evaluating the EPICC-Model for regional air quality simulation: a comparative study with CAMx and CMAQ",
  "title_text": "Evaluating the EPICC-Model for regional air quality simulation: a comparative study with CAMx and CMAQ",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:20:49Z",
  "url": "https://research.draconitic.com/paper/2h67z14ggmec9",
  "venue": "Geoscientific Model Development",
  "versions": [
    {
      "doi": "10.5194/egusphere-2026-3428",
      "pid": null,
      "relation": "preprint",
      "title": null,
      "venue": null
    }
  ]
}