Articles | Volume 17, issue 1
https://doi.org/10.5194/essd-17-277-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-277-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
28 Jan 2025
Data description article |
| 28 Jan 2025
| 28 Jan 2025
The high-resolution global shipping emission inventory by the Shipping Emission Inventory Model (SEIM)
Wen Yi
State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, China
Xiaotong Wang
Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, China
Tingkun He
State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, China
State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, China
Zhenyu Luo
State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, China
Zhaofeng Lv
State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, China
Kebin He
State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, China
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Total article views: 3,895 (including HTML, PDF, and XML)
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Total article views: 2,637 (including HTML, PDF, and XML)
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Cited
19 citations as recorded by crossref.
- Building the I/SVOC Emission Inventory for Ocean-Going Ships: A Case Study on the Southeast Coast of China X. Chang et al.
- Load-Dependent Shipping Emission Factors Considering Alternative Fuels, Biofuels and Emission Control Technologies A. Grigoriadis et al.
- Rethinking Ship Emission Hotspots: A 100 m Resolution AIS-Based Inventory for Coastal Chinese Waters S. Sun et al.
- Pathways and geographical patterns of international shipping CO2 emissions in the future W. Yi et al.
- Deep learning driven spatiotemporal prediction of global carbon emissions from container shipping H. Yu et al.
- Impacts of shipping emissions on ozone pollution in China Z. Luo et al.
- The ELK global emission inventory for the transport sectors M. Righi et al.
- Improving the global prediction of shipping emissions by modelling the effects of ambient conditions E. Majamäki et al.
- Onshore winds amplify shipping PM2.5 exposure in a coastal megaport city: Insights from source apportionment and machine learning L. Li et al.
- A Clean Alternative or a New Environmental Challenge? A Perspective on Downstream Emissions and Environmental Trade-Offs of Ammonia-Diesel as a Low-Carbon Future Fuel H. Czech
- Filterable and Condensable Particulate Nitrate Emissions from Plumes over North China Y. Ni et al.
- Divergence in International Shipping CO2 Emissions across Economies from an Export Perspective X. Wang et al.
- Changes in the impacts of ship emissions on PM2.5 and its components in China under the staged fuel oil policies G. Yu et al.
- The role of reduced aerosol masking from air pollutant emission reductions in recent global warming acceleration (2013–2023) X. Wang et al.
- Ship Air Emission and Their Air Quality Impacts in the Panama Canal Area: An Integrated AIS-Based Estimation During Hotelling Mode in Anchorage Zone Y. Lee et al.
- Atmospheric nitrogen deposition fluxes into coastal wetlands and their impacts on ecosystem carbon sequestration in East Asia J. Liu et al.
- Quantifying operational variability across ship types and size classes in the North and Baltic Seas J. Hobbie et al.
- The role of mega ports in climate change (IUPAC Technical Report) F. Sakellariadou et al.
- Carbon intensity assessment and fuel pathway optimization under the international maritime Organization's new regulations T. He et al.
19 citations as recorded by crossref.
- Building the I/SVOC Emission Inventory for Ocean-Going Ships: A Case Study on the Southeast Coast of China X. Chang et al.
- Load-Dependent Shipping Emission Factors Considering Alternative Fuels, Biofuels and Emission Control Technologies A. Grigoriadis et al.
- Rethinking Ship Emission Hotspots: A 100 m Resolution AIS-Based Inventory for Coastal Chinese Waters S. Sun et al.
- Pathways and geographical patterns of international shipping CO2 emissions in the future W. Yi et al.
- Deep learning driven spatiotemporal prediction of global carbon emissions from container shipping H. Yu et al.
- Impacts of shipping emissions on ozone pollution in China Z. Luo et al.
- The ELK global emission inventory for the transport sectors M. Righi et al.
- Improving the global prediction of shipping emissions by modelling the effects of ambient conditions E. Majamäki et al.
- Onshore winds amplify shipping PM2.5 exposure in a coastal megaport city: Insights from source apportionment and machine learning L. Li et al.
- A Clean Alternative or a New Environmental Challenge? A Perspective on Downstream Emissions and Environmental Trade-Offs of Ammonia-Diesel as a Low-Carbon Future Fuel H. Czech
- Filterable and Condensable Particulate Nitrate Emissions from Plumes over North China Y. Ni et al.
- Divergence in International Shipping CO2 Emissions across Economies from an Export Perspective X. Wang et al.
- Changes in the impacts of ship emissions on PM2.5 and its components in China under the staged fuel oil policies G. Yu et al.
- The role of reduced aerosol masking from air pollutant emission reductions in recent global warming acceleration (2013–2023) X. Wang et al.
- Ship Air Emission and Their Air Quality Impacts in the Panama Canal Area: An Integrated AIS-Based Estimation During Hotelling Mode in Anchorage Zone Y. Lee et al.
- Atmospheric nitrogen deposition fluxes into coastal wetlands and their impacts on ecosystem carbon sequestration in East Asia J. Liu et al.
- Quantifying operational variability across ship types and size classes in the North and Baltic Seas J. Hobbie et al.
- The role of mega ports in climate change (IUPAC Technical Report) F. Sakellariadou et al.
- Carbon intensity assessment and fuel pathway optimization under the international maritime Organization's new regulations T. He et al.
Saved (final revised paper)
Latest update: 25 May 2026
Short summary
This study presents a detailed global dataset on ship emissions, covering the years 2013 and 2016–2021, using advanced modeling techniques. The dataset includes emissions data for four types of greenhouse gases and five types of air pollutants. The data, available for research, offer valuable insights into ship emission spatiotemporal patterns by vessel type and age, providing a solid data foundation for fine-scale scientific research and shipping emission mitigation.
This study presents a detailed global dataset on ship emissions, covering the years 2013 and...
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