Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 1
Articles | Volume 19, issue 1
https://doi.org/10.5194/gmd-19-217-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-217-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 1
Development and technical paper
 | 
08 Jan 2026
Development and technical paper |  | 08 Jan 2026

Towards an integrated inventory of anthropogenic emissions for China

Yijuan Zhang, Guy Brasseur, Maria Kanakidou, Claire Granier, Nikos Daskalakis, Alexandros Panagiotis Poulidis, Kun Qu, and Mihalis Vrekoussis

Supplement

https://doi.org/10.5194/gmd-19-217-2026-supplement

Data sets

CINEI V1.1: Integrated Anthropogenic Emission Inventory for China Yijuan Zhang et al. https://doi.org/10.1594/PANGAEA.974347

HTAP_v3 emission mosaic C. Monica https://doi.org/10.5281/zenodo.7516361

Data used in manuscript 'Towards an integrated inventory of anthropogenic emissions for China' (submitted to Geoscientific Model Development journal) Y. Zhang https://doi.org/10.5281/zenodo.15039737

CEDS v_2024_10_21 Release Gridded Emissions Data 0.5 degree R. Hoesly et al. https://doi.org/10.5281/zenodo.13952845

Model code and software

CINEI V1.1: Python code for creating an integrated inventory of anthropogenic emission for China (Version 1) Yijuan Zhang https://doi.org/10.5281/zenodo.15000795

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Short summary
A new inventory of anthropogenic emissions, the China INtegrated Emission Inventory (CINEI), was developed in this study to better represent emission sectors, chemical speciation and spatiotemporal variations in China. Compared to simulations driven by global inventories, CINEI demonstrated better numerical modeling performance in ozone and its precursors (nitrogen dioxide and carbon monoxide). This study provides valuable insights for designing ozone mitigation strategies.
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