{
  "abstract": "China is the world’s largest source of methane (CH4) emissions and has signalled its intention to incorporate methane into its climate commitments. Designing effective methane-mitigation strategies requires robust estimates of up-to-date emissions, particularly when the pronounced spatial heterogeneity and temporal variability of each emission source are considered. However, there is currently an absence of source-level, up-to-date and dynamic CH4 emission estimations in China, constraining the formulation of measurable targets. In this study, we present the Chinese Methane Emissions Database (CMED), a nationwide, source-level, monthly emission inventory covering the period 2018–2024. The CMED provides a comprehensive account of anthropogenic CH₄ emissions in China. Uncertainty analysis of the CMED indicates that CH₄ emission estimates fall within an acceptable range (±3.57%), underscoring the robustness of the dataset. This comprehensive dataset enables more accurate analyses by providing integrated, source-level and temporally explicit information, offering critical support for policy evaluation under China’s new round of Nationally Determined Contributions climate commitments released in 2025.",
  "abstract_shown": true,
  "affiliations": [
    "School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080 China",
    "School of Land Science and Technology, China University of Geosciences, Beijing, 100083 China",
    "Center for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing, 100043 China",
    "School of Economics and Management, North China University of Technology, Beijing, 100144 China",
    "School of Economics and Management, China University of Geosciences, Beijing, 100083 China",
    "Chinese Academy of Natural Resources Economics, Sanhe City, 101149 China",
    "State Grid Shaanxi Electric Power Company Limited Research Institute, Xi’an, 710065 China",
    "School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai Engineering Research Center of Solid Waste Treatment and Resource, Shanghai, 200240 China",
    "School of Environmental and Chemical Engineering, Shanghai University of Electric Power, Shanghai, 200090 China",
    "School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang, 212013 China",
    "State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101 China",
    "Jiangxi Provincial Key Laboratory of Greenhouse Gas Accounting and Carbon Reduction, Institute of Energy Research, Jiangxi Academy of Sciences, Nanchang, 330096 China",
    "Jiangxi Carbon Neutralization Research Center, Nanchang, 330096 China"
  ],
  "article_type": "data paper",
  "arxiv": null,
  "author_total": 16,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Pengcheng Wu"
    },
    {
      "affs": [
        1
      ],
      "name": "Ke Wang"
    },
    {
      "affs": [
        2
      ],
      "name": "Jing Guo"
    },
    {
      "affs": [
        3
      ],
      "name": "Min Jia"
    },
    {
      "affs": [
        4
      ],
      "name": "Jianhui Ruan"
    },
    {
      "affs": [
        5
      ],
      "name": "Sen Liang"
    },
    {
      "affs": [
        6
      ],
      "name": "Haoyu Zhang"
    },
    {
      "affs": [
        7
      ],
      "name": "Jingyi Wu"
    },
    {
      "affs": [
        8
      ],
      "name": "Ying Cui"
    },
    {
      "affs": [
        2
      ],
      "name": "Chen Lyu"
    },
    {
      "affs": [
        9
      ],
      "name": "Hui Xu"
    },
    {
      "affs": [
        1
      ],
      "name": "Jianjun Zhang"
    },
    {
      "affs": [
        10
      ],
      "name": "Wensheng Duan"
    },
    {
      "affs": [
        2
      ],
      "name": "Bofeng Cai"
    },
    {
      "affs": [
        2
      ],
      "name": "Jinnan Wang"
    },
    {
      "affs": [
        9,
        11,
        12
      ],
      "name": "Li Zhang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/27w9y37epzb7e.bib",
  "cited_by": 1,
  "doi": "10.1038/s41597-026-07871-3",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13737054/",
  "id": "27w9y37epzb7e",
  "issns": [
    "2052-4463"
  ],
  "landing_url": "https://doi.org/10.1038/s41597-026-07871-3",
  "language": "en",
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Data Descriptor"
    ],
    [
      "openalex",
      "2306|Atmospheric and Environmental Gas Dynamics"
    ]
  ],
  "openalex": "W7168133318",
  "pdf_url": "https://www.nature.com/articles/s41597-026-07871-3_reference.pdf",
  "pmcid": "PMC13737054",
  "pmid": "42443233",
  "published": "2026-07-13",
  "publisher": "Nature Publishing Group",
  "ris": "https://research.draconitic.com/paper/27w9y37epzb7e.ris",
  "sources": [
    {
      "first_seen": "2026-11-09T12:22:21Z",
      "native_id": "PMC13737054",
      "source": "pmc",
      "url": "https://doi.org/10.1038/s41597-026-07871-3"
    }
  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "openalex:2306|Atmospheric and Environmental Gas Dynamics",
      "subfield": "climate"
    }
  ],
  "title": "Monthly methane emissions in China from 2018–2024 based on source-level data",
  "title_text": "Monthly methane emissions in China from 2018–2024 based on source-level data",
  "type": "peer-reviewed",
  "updated_at": "2026-11-09T12:22:21Z",
  "url": "https://research.draconitic.com/paper/27w9y37epzb7e",
  "venue": "Scientific Data",
  "versions": []
}