Zhang, Yijuan; Vrekoussis, Mihalis; Brasseur, Guy (2025): CINEI V1.1: Integrated Anthropogenic Emission Inventory for China [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.974347
Always quote citation above when using data! You can download the citation in several formats below.
Published: 2025-04-03 • DOI registered: 2025-05-02
Abstract:
To better understand the reasons for this deterioration in air quality in several cities in China, and to assess the effectiveness of past, current and planned targeted pollution control strategies, we developed an integrated anthropogenic emissions inventory (CINEI). The CINEI emissions were derived from the existing national inventory of The Multi-resolution Emission Inventory for China (MEIC) specifically for mainland China and global inventory of The Community Emissions Data System (CEDS) for areas outside China at 0.25° resolution. In order to obtain harmonized data, our inventory takes into account differences in spatial emission mapping as same spatial resolution and source mapping (sectoral information) based on the Intergovernmental Panel on Climate Change (IPCC) activity sector. We include the power generation, transport, industry, residential sectors from national inventory (MEIC), as well as the national-omitted sectors from global inventories, which include shipping (from inventory of The Copernicus Atmosphere Monitoring Service emissions, CAMs), aviation (from inventory of Hemispheric Transport of Air Pollution, HTAP), agriculture (from HTAP), and waste (from CEDS). In addition, we applied observed source profiles for non-methane volatile organic compounds (NMVOCs) and aim to improve the representation for NMVOC speciation. NMVOC speciation is unified as the Model for Ozone and Related chemical Tracers mechanism (MOZART), which is widely used by global and regional chemistry and transport models (CTMs). CINEI includes 8 sectoral emission, 25 species (inorganic gas, NMVOCs gas, and particulate matter), and covers east Asia (70.125°E to 149.875°E and 10.125°N to 59.875°N). The CINEI dataset provides monthly data in 2017, with 0.25 spatial resolution. Therefore, our CINEI inventory improves the representation in emission sectors and spatial distribution, and facilitates the simulation in CTMs.
Supplement to:
Zhang, Yijuan; Brasseur, Guy; Kanakidou, Maria; Granier, Claire; Daskalakis, Nikos; Panagiotis Poulidis, Alexandros; Qu, Kun; Vrekoussis, Mihalis (preprint): Towards an integrated inventory of anthropogenic emissions for China. https://doi.org/10.5194/egusphere-2025-268
References:
Crippa, Monica; Guizzardi, Diego; Butler, Tim; Keating, Terry; Wu, Rosa; Kaminski, Jacek; Kuenen, Jeroen; Kurokawa, Junichi; Chatani, Satoru; Morikawa, Tazuko; Pouliot, George; Racine, Jacinthe; Moran, Michael D; Klimont, Zbigniew; Manseau, Patrick M; Mashayekhi, Rabab; Henderson, Barron H; Smith, Steven J; Suchyta, Harrison; Muntean, Marilena; Solazzo, Efisio; Banja, Manjola; Schaaf, Edwin; Pagani, Federico; Woo, Jung-Hun; Kim, Jinseok; Monforti-Ferrario, Fabio; Pisoni, Enrico; Zhang, Junhua; Niemi, David; Sassi, Mourad; Ansari, Tabish; Foley, Kristen (2023): The HTAP_v3 emission mosaic: merging regional and global monthly emissions (2000–2018) to support air quality modelling and policies. Earth System Science Data, 15(6), 2667-2694, https://doi.org/10.5194/essd-15-2667-2023
Hoesly, Rachel; Smith, Steven J; Feng, Leyang; Klimont, Zbigniew; Janssens-Maenhout, Greet; Pitkanen, Tyler; Seibert, Jonathan J; Vu, Linh; Andres, R J; Bolt, Ryan M; Bond, Tami C; Dawidowski, Laura; Kholod, Nazar; Kurokawa, June-ichi; Li, Meng; Liu, Liang; Lu, Zifeng; Moura, Maria Cecilia P; O'Rourke, Patrick R; Zhang, Qiang (2018): Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS). Geoscientific Model Development, 11(1), 369-408, https://doi.org/10.5194/gmd-11-369-2018
Smith, Steven J; McDuffie, Erin E; Charles, Molly (2022): Opinion: Coordinated development of emission inventories for climate forcers and air pollutants. Atmospheric Chemistry and Physics, 22(19), 13201-13218, https://doi.org/10.5194/acp-22-13201-2022
Soulie, Antonin; Granier, Claire; Darras, Sabine; Zilbermann, Nicolas; Doumbia, Thierno; Guevara, Marcel; Jalkanen, Jukka-Pekka; Keita, Sekou; Liousse, Cathy; Crippa, Monica; Guizzardi, Diego; Hoesly, Rachel; Smith, Steven J (2024): Global anthropogenic emissions (CAMS-GLOB-ANT) for the Copernicus Atmosphere Monitoring Service simulations of air quality forecasts and reanalyses. Earth System Science Data, 16(5), 2261-2279, https://doi.org/10.5194/essd-16-2261-2024
Zheng, Bo; Tong, Dan; Li, Meng; Liu, Fei; Hong, Chaopeng; Geng, Guannan; Li, Haiyan; Li, Xin; Peng, Liqun; Qi, Ji; Yan, Liu; Zhang, Yuxuan; Zhao, Hongyan; Zheng, Yixuan; He, Kebin; Zhang, Qiang (2018): Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions. Atmospheric Chemistry and Physics, 18(19), 14095-14111, https://doi.org/10.5194/acp-18-14095-2018
Zheng, Bo; Zhang, Qiang; Geng, Guannan; Chen, Cuihong; Shi, Qinren; Cui, Mengshi; Lei, Yu; He, Kebin (2021): Changes in China's anthropogenic emissions and air quality during the COVID-19 pandemic in 2020. Earth System Science Data, 13(6), 2895-2907, https://doi.org/10.5194/essd-13-2895-2021
Further details:
Zhang, Yijuan (2025): CINEI V1.1: Python code for creating an integrated inventory of anthropogenic emission for China. Zenodo, https://doi.org/10.5281/ZENODO.15000795
Funding:
Coverage:
Median Latitude: 35.000000 * Median Longitude: 110.000000 * South-bound Latitude: 10.125000 * West-bound Longitude: 70.125000 * North-bound Latitude: 59.875000 * East-bound Longitude: 149.875000
Event(s):
Comment:
The unit of Particulate Mass, and inorganic gas files is ton per grid per month.
The unit of other NMVOC files is million mole per grid per month, and the molecular mass weight is indicated in data attribution.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | netCDF file | netCDF | Zhang, Yijuan | |||
| 2 | netCDF file (File Size) | netCDF (Size) | Bytes | Zhang, Yijuan |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
28 data points
