Global assessment of shipping emissions in 2015 on a high spatial and temporal resolution
Finnish Meteorological Institute
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Abstract
We present a comprehensive global shipping emission inventory and the global activities of ships for the year 2015. The emissions were evaluated using the Ship Traffic Emission Assessment Model (STEAM3), which uses Automatic Identification System data to describe the traffic activities of ships. We have improved the model regarding (i) the evaluation of the missing technical specifications of ships, and (ii) the treatment of shipping activities in case of sparse satellite AIS-data. We have developed a model for the collection and processing of available information on the technical specifications, using data assimilation techniques. We have also developed a path regeneration model that constructs, whenever…
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559
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- FWCI
- 18.96
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- 100%
- References
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Authors
3Topics & keywords
Topics
Keywords
- Emission inventory
- Environmental science
- Greenhouse gas
- Air quality index
- Atmospheric dispersion modeling
- Data assimilation
- Automatic Identification System
- Scale (ratio)
UN Sustainable Development Goals
- Affordable and clean energy
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