SEIM (Shipping Emission Inventory Model) is a global shipping emission inventory model. The model is developed based on data from the high-precision ship Automatic Identification System (AIS), and the annual amount of the AIS signals is about 30 billion. The SEIM dataset currently provides gridded data (0.5°×0.5°) of global shipping emissions in 2017, which cover 6 species of SO2, NOx, HC, PM2.5, CO, and CO2. The spatial distribution of shipping emissions data is as follows:
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The SEIM dataset is for non-commercial use only.
In any paper, research report, and product using the SEIM dataset, the relevant research results of the SEIM dataset must be fully cited.
The SEIM dataset is developed and maintained by Tsinghua University. If you have any questions about the SEIM data, please contact Prof. Huan Liu (email@example.com).
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Gridded data of SEIM v2.0 global shipping emission inventory
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Please cite the following papers when using the SEIM dataset:
Liu, H. et al. Health and climate impacts of ocean-going vessels in East Asia. Nature Climate Change 6, 1037-1041, doi:10.1038/nclimate3083 (2016).
Liu, H. et al. Emissions and health impacts from global shipping embodied in US-China bilateral trade. Nature Sustainability 2, 1027-1033, doi:10.1038/s41893-019-0414-z (2019).