Preprints
https://doi.org/10.5194/egusphere-2026-1935
https://doi.org/10.5194/egusphere-2026-1935
26 May 2026
 | 26 May 2026
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Addressing systemic underestimation in global ship emissions from fleet growth and fuel compliance

Weiwei Zhang, Zhaofeng Lv, Wen Yi, Tingkun He, Bensheng Xiao, Qiang Zhang, and Huan Liu

Abstract. As a hard-to-abate sector, global shipping is under international and regional emission control regulations. To evaluate emission control effects and conduct rapid response air quality simulations, accurate and timely ship emission inventories are indispensable. However, current ship emission inventory models face multiple challenges, including incomplete and delayed global ship fleet description and significant divergence in PM2.5 emissions after global low sulfur regulation came into effect. Here, we established a dynamically updated Ship Emission Inventory Model that allows near-real-time emission calculation. Ship activity and technical database are updated daily instead of yearly to obtain a more complete and rapid description of global ship fleet. Fleet's multiple choices to comply with fuel sulfur regulation were considered, including switching to very low sulfur fuel and utilizing scrubbers to keep consuming heavy fuel oil. The daily expansion of ship technical database uncovered 8% and 6.2% of the total gross tonnage of active bulk carrier and container fleets, unveiling up to 5.4% of global ship CO2 emissions. Without the expansion, the daily underestimation would enlarge over time from about 0.20 Mt CO2/d to 0.29 Mt CO2/d throughout 2024. On the other hand, the single compliance choice assumption and ignorance of heavy fuel oil use after 2020 would lead to underestimation of PM2.5 and BC emissions by approximately 55% and 27%. Although South China Ocean had the most absolute underestimation, the Indian Ocean had the highest underestimated portion, reaching 75% and 39% of its total PM2.5 and BC emissions.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Atmospheric Chemistry and Physics.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Weiwei Zhang, Zhaofeng Lv, Wen Yi, Tingkun He, Bensheng Xiao, Qiang Zhang, and Huan Liu

Status: open (until 07 Jul 2026)

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Weiwei Zhang, Zhaofeng Lv, Wen Yi, Tingkun He, Bensheng Xiao, Qiang Zhang, and Huan Liu
Weiwei Zhang, Zhaofeng Lv, Wen Yi, Tingkun He, Bensheng Xiao, Qiang Zhang, and Huan Liu
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Latest update: 26 May 2026
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Short summary
We developed a model to track near-real-time global ship emissions. Previous methods failed to include newly-built ship activities or account for different compliance strategies ships used to meet environmental laws. Our model uncovered significant underestimated carbon dioxide and particular matter emissions, especially in the Indian Ocean and South China Sea. The findings provide a more accurate foundation for understanding how shipping affects our air quality and climate.
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