The high-resolution ship emission inventory is an important dataset for various disciplines such as atmospheric science, marine science, and environmental management. Here, we present the global high-resolution ship emission inventory with a resolution of 0.1 °× 0.1 ° from 2013, 2016 to 2021, generated by the state-of-the-art shipping emission inventory model (SEIMP2.2). In terms of major air pollutants and greenhouse gases, in 2021, global ships emitted 847.2 million tons of carbon dioxide, 2.3 million tons of sulfur dioxide, 16.1 million tons of nitrogen oxides, 7.912 million tons of carbon dioxide, 737.3 million tons of hydrogen compounds, 415.5 tons of primary PM2.5, 61.6 million tons of BC, 210.3 million tons of CH4, and 45.1 million tons of N2O, accounting for 3.2% of sulfur dioxide emissions; According to the Community Emissions Data System (CEDS), 14.2% and 2.3% of all anthropogenic NOx and CO2 emissions worldwide are from human sources. According to the inventory results, the composition of ship types that contribute to global ship emissions remains relatively stable. In terms of time, the daily fluctuations in global ship emissions are the smallest. In terms of space, high-resolution emission datasets reveal the contribution patterns of ship emissions from different types of vessels in different marine regions.
| collect time | 2013/01/01 - 2021/12/31 |
|---|---|
| collect place | Global |
| data size | 3.3 GiB |
| data format | CSV |
| Coordinate system |
Using 30 billion Automatic Identification System (AIS) signals, SEIMP2.2 integrates real-time ship position, speed, and technical parameters to model ship emissions of key species such as CO2, NOx, SO2, PM2.5, CO, HC, N2O, and CH4.
Initially, 30 billion Automatic Identification Systems (AIS) data were extensively cleaned each year to ensure their effectiveness and accuracy in terms of temporal and spatial distribution. Subsequently, by combining the real-time ship position and speed of AIS data with static technical parameters, emission factors, and other calculation parameters, SEIM simulates ship emissions on a ship by ship and signal by signal basis. Finally, summarize and analyze the results.
Providing daily segmented data by ship type and age, which can be used for a wide range of research purposes, will provide a solid data foundation for fine scientific research and shipping emissions reduction.
This work is licensed under a
Creative
Commons Attribution 4.0 International License.
| # | title | file size |
|---|---|---|
| 1 | L01dA_2013_global.csv | 488.4 MiB |
| 2 | L01dA_2021_global.csv | 362.9 MiB |
| 3 | L01dA_2021_vesseltype_global.csv | 2.4 GiB |
| 4 | _ncdc_meta_.json | 4.7 KiB |
| 5 | timeSeries_16_21_global.csv | 23.5 MiB |
Ship emissions air pollution marine pollution spatiotemporal analysis
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