The high-resolution global shipping emission inventory by the Shipping Emission Inventory Model (SEIM)
<p>The high-resolution ship emission inventory serves as a crucial dataset for various disciplines including atmospheric science, marine science, and environmental management. Here, we present a global high-spatiotemporal-resolution ship emission inventory at a resolution of 0.1° <span clas...
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Copernicus Publications
2025-01-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/17/277/2025/essd-17-277-2025.pdf |
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| author | W. Yi X. Wang T. He H. Liu Z. Luo Z. Lv K. He |
| author_facet | W. Yi X. Wang T. He H. Liu Z. Luo Z. Lv K. He |
| author_sort | W. Yi |
| collection | DOAJ |
| description | <p>The high-resolution ship emission inventory serves as a crucial dataset for various disciplines including atmospheric science, marine science, and environmental management. Here, we present a global high-spatiotemporal-resolution ship emission inventory at a resolution of 0.1° <span class="inline-formula">×</span> 0.1° for the years 2013 and 2016–2021, generated by the state-of-the-art Shipping Emission Inventory Model (SEIMv2.2). Initially, the annual 30 billion Automatic Identification System (AIS) data underwent extensive cleaning to ensure data validity and accuracy in temporal and spatial distribution. Subsequently, integrating real-time vessel positions and speeds from AIS data with static technical parameters, emission factors, and other computational parameters, SEIM simulated ship emissions on a ship-by-ship, signal-by-signal basis. Finally, the results were aggregated and analyzed. In 2021, the ship activity dataset established based on AIS data covered 109 300 vessels globally (101 400 vessels reported by the United Nations Conference on Trade and Development). Concerning the major air pollutants and greenhouse gases, global ships emitted <span class="inline-formula">847.2×10<sup>6</sup></span> t of CO<span class="inline-formula"><sub>2</sub></span>, <span class="inline-formula">2.3×10<sup>6</sup></span> t of SO<span class="inline-formula"><sub>2</sub></span>, <span class="inline-formula">16.1×10<sup>6</sup></span> t of NO<span class="inline-formula"><sub><i>x</i></sub></span>, 791.2 kt of CO, 737.3 kt of HC (hydrocarbon), 415.5 kt of primary PM<span class="inline-formula"><sub>2.5</sub></span>, 61.6 kt of BC (black carbon), 210.3 kt of CH<span class="inline-formula"><sub>4</sub></span>, and 45.1 kt of N<span class="inline-formula"><sub>2</sub></span>O in 2021, accounting for 3.2 % of SO<span class="inline-formula"><sub>2</sub></span>, 14.2 % of NO<span class="inline-formula"><sub><i>x</i></sub></span>, and 2.3 % of CO<span class="inline-formula"><sub>2</sub></span> emissions from all global anthropogenic sources, based on the Community Emissions Data System (CEDS). Due to the implementation of fuel-switching policies, global ship emissions of SO<span class="inline-formula"><sub>2</sub></span> and primary PM<span class="inline-formula"><sub>2.5</sub></span> saw a significant reduction of 81.3 % and 76.5 % in 2021 compared to 2019, respectively. According to the inventory results, the composition of vessel types contributing to global ship emissions remained relatively stable through the years, with container ships consistently contributing <span class="inline-formula">∼</span> 30 % of global ship emissions. Regarding vessel age distribution, the emission contribution of vessels built before 2000 (without Tier standards) has been declining, dropping to 10.2 % in 2021, suggesting that even a complete phase-out of these vessels would have limited potential for reducing NO<span class="inline-formula"><sub><i>x</i></sub></span> emissions in the short term. On the other hand, the emission contribution of vessels built after 2016 (meeting Tier III standard) kept increasing, reaching 13.3 % in 2021. Temporally, global ship emissions exhibited minimal daily fluctuations. Spatially, high-resolution emission characteristics of different vessel types were delineated. Patterns of ship emission contributions by different types of vessels vary among maritime regions, with container ships predominant in the North and South Pacific, bulk carriers predominant in the South Atlantic, and oil tankers prevalent in the Arabian Sea. The distribution characteristics of ship emissions and intensity also vary significantly across different maritime regions. Our dataset, which is accessible at <a href="https://doi.org/10.5281/zenodo.10869014">https://doi.org/10.5281/zenodo.10869014</a> (Wen et al., 2024), provides a daily breakdown by vessel type and age; it is available for broad research purposes, and it will provide a solid data foundation for fine-scale scientific research and shipping emission mitigation.</p> |
| format | Article |
| id | doaj-art-db15cec79b9c4ec78affb5dd37b496c0 |
| institution | Kabale University |
| issn | 1866-3508 1866-3516 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Copernicus Publications |
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| series | Earth System Science Data |
| spelling | doaj-art-db15cec79b9c4ec78affb5dd37b496c02025-01-28T11:37:13ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162025-01-011727729210.5194/essd-17-277-2025The high-resolution global shipping emission inventory by the Shipping Emission Inventory Model (SEIM)W. Yi0X. Wang1T. He2H. Liu3Z. Luo4Z. Lv5K. He6State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, ChinaKey Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, ChinaState Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, ChinaState Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, ChinaState Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, ChinaState Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, ChinaState Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing 100084, China<p>The high-resolution ship emission inventory serves as a crucial dataset for various disciplines including atmospheric science, marine science, and environmental management. Here, we present a global high-spatiotemporal-resolution ship emission inventory at a resolution of 0.1° <span class="inline-formula">×</span> 0.1° for the years 2013 and 2016–2021, generated by the state-of-the-art Shipping Emission Inventory Model (SEIMv2.2). Initially, the annual 30 billion Automatic Identification System (AIS) data underwent extensive cleaning to ensure data validity and accuracy in temporal and spatial distribution. Subsequently, integrating real-time vessel positions and speeds from AIS data with static technical parameters, emission factors, and other computational parameters, SEIM simulated ship emissions on a ship-by-ship, signal-by-signal basis. Finally, the results were aggregated and analyzed. In 2021, the ship activity dataset established based on AIS data covered 109 300 vessels globally (101 400 vessels reported by the United Nations Conference on Trade and Development). Concerning the major air pollutants and greenhouse gases, global ships emitted <span class="inline-formula">847.2×10<sup>6</sup></span> t of CO<span class="inline-formula"><sub>2</sub></span>, <span class="inline-formula">2.3×10<sup>6</sup></span> t of SO<span class="inline-formula"><sub>2</sub></span>, <span class="inline-formula">16.1×10<sup>6</sup></span> t of NO<span class="inline-formula"><sub><i>x</i></sub></span>, 791.2 kt of CO, 737.3 kt of HC (hydrocarbon), 415.5 kt of primary PM<span class="inline-formula"><sub>2.5</sub></span>, 61.6 kt of BC (black carbon), 210.3 kt of CH<span class="inline-formula"><sub>4</sub></span>, and 45.1 kt of N<span class="inline-formula"><sub>2</sub></span>O in 2021, accounting for 3.2 % of SO<span class="inline-formula"><sub>2</sub></span>, 14.2 % of NO<span class="inline-formula"><sub><i>x</i></sub></span>, and 2.3 % of CO<span class="inline-formula"><sub>2</sub></span> emissions from all global anthropogenic sources, based on the Community Emissions Data System (CEDS). Due to the implementation of fuel-switching policies, global ship emissions of SO<span class="inline-formula"><sub>2</sub></span> and primary PM<span class="inline-formula"><sub>2.5</sub></span> saw a significant reduction of 81.3 % and 76.5 % in 2021 compared to 2019, respectively. According to the inventory results, the composition of vessel types contributing to global ship emissions remained relatively stable through the years, with container ships consistently contributing <span class="inline-formula">∼</span> 30 % of global ship emissions. Regarding vessel age distribution, the emission contribution of vessels built before 2000 (without Tier standards) has been declining, dropping to 10.2 % in 2021, suggesting that even a complete phase-out of these vessels would have limited potential for reducing NO<span class="inline-formula"><sub><i>x</i></sub></span> emissions in the short term. On the other hand, the emission contribution of vessels built after 2016 (meeting Tier III standard) kept increasing, reaching 13.3 % in 2021. Temporally, global ship emissions exhibited minimal daily fluctuations. Spatially, high-resolution emission characteristics of different vessel types were delineated. Patterns of ship emission contributions by different types of vessels vary among maritime regions, with container ships predominant in the North and South Pacific, bulk carriers predominant in the South Atlantic, and oil tankers prevalent in the Arabian Sea. The distribution characteristics of ship emissions and intensity also vary significantly across different maritime regions. Our dataset, which is accessible at <a href="https://doi.org/10.5281/zenodo.10869014">https://doi.org/10.5281/zenodo.10869014</a> (Wen et al., 2024), provides a daily breakdown by vessel type and age; it is available for broad research purposes, and it will provide a solid data foundation for fine-scale scientific research and shipping emission mitigation.</p>https://essd.copernicus.org/articles/17/277/2025/essd-17-277-2025.pdf |
| spellingShingle | W. Yi X. Wang T. He H. Liu Z. Luo Z. Lv K. He The high-resolution global shipping emission inventory by the Shipping Emission Inventory Model (SEIM) Earth System Science Data |
| title | The high-resolution global shipping emission inventory by the Shipping Emission Inventory Model (SEIM) |
| title_full | The high-resolution global shipping emission inventory by the Shipping Emission Inventory Model (SEIM) |
| title_fullStr | The high-resolution global shipping emission inventory by the Shipping Emission Inventory Model (SEIM) |
| title_full_unstemmed | The high-resolution global shipping emission inventory by the Shipping Emission Inventory Model (SEIM) |
| title_short | The high-resolution global shipping emission inventory by the Shipping Emission Inventory Model (SEIM) |
| title_sort | high resolution global shipping emission inventory by the shipping emission inventory model seim |
| url | https://essd.copernicus.org/articles/17/277/2025/essd-17-277-2025.pdf |
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