The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Improving Spatial Representation of Global Ship Emissions Inventories
Abstract
Ship activity patterns depicted by the International Comprehensive Ocean-Atmosphere Data Set (ICOADS), the Automated Mutual-Assistance Vessel Rescue System (AMVER) data set, and their combination demonstrate different spatial and statistical sampling biases. These differences could significantly affect the accuracy of ship emissions inventories and atmospheric modeling. We demonstrate (using ICOADS) a method to improve global-proxy representativeness by trimming over-reporting vessels that mitigates sampling bias, augment the sample data set, and account for ship heterogeneity. Apparent underreporting to ICOADS and AMVER by ships near coastlines, perhaps engaged in coastwise (short sea) shipping especially in Europe, indicates that bottom-up regional inventories may be more representative locally. Primarily due to the long time series available publicly for ICOADS data, the improved ICOADS data set may be the most appropriate global ship traffic proxy identified to date to be used for a top-down approach. More generally, these three spatial proxies can be used together to perform uncertainty analyses of ship air-emissions impacts on a global scale (http://coast.cms.udel.edu/GlobalShipEmissions/).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Lauer, A., Eyring, V., Hendricks, J., Jöckel, P., & Lohmann, U. (2007) · Atmospheric Chemistry and Physics · doi:10.5194/acp-7-5061-2007 · Cited by 234
Cited by
Lamarque, J.-F., Bond, T. C., Eyring, V., Granier, C., Heil, A., Klimont, Z., Lee, D., Liousse, C., Mieville, A., Owen, B., et al. (2010) · Atmospheric Chemistry and Physics · doi:10.5194/acp-10-7017-2010 · Cited by 2,105
“Ship emissions are distributed over the globe using the International Comprehensive Ocean-Atmosphere Data Set (ICOADS; Wang et al., 2007), which provides changing shipping patterns on a monthly basis.”
MethodImpact of maritime transport emissions on coastal air quality in Europe
Viana, M., Hammingh, P., Colette, A., Querol, X., Degraeuwe, B., Vlieger, I. D., & van Aardenne, J. (2014) · Atmospheric Environment · doi:10.1016/j.atmosenv.2014.03.046 · Cited by 634
Arctic shipping emissions inventories and future scenarios
Corbett, J. J., Lack, D. A., Winebrake, J. J., Harder, S., Silberman, J. A., & Gold, M. (2010) · Atmospheric Chemistry and Physics · doi:10.5194/acp-10-9689-2010 · Cited by 270
Self-citationShipping contributes to ocean acidification
Hassellöv, I., Turner, D. R., Lauer, A., & Corbett, J. J. (2013) · Geophysical Research Letters · doi:10.1002/grl.50521 · Cited by 141
Self-citationRighi, M., Hendricks, J., & Sausen, R. (2013) · Atmospheric chemistry and physics · doi:10.5194/acp-13-9939-2013 · Cited by 96
Metadata
- Authors
- Wang, C., Corbett, J. J., & Firestone, J.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2007-12-01
- Volume
- 42
- Issue
- 1
- Pages
- 193-199
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2014001974
- Cited by
- 208
- References
- 1
- FWCI
- 11.96
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Improving Spatial Representation of Global Ship Emissions Inventories. https://app.cochat.ai/papers/10.1021/es0700799
- The paper
- Wang, C., Corbett, J. J., & Firestone, J. (2008). Improving Spatial Representation of Global Ship Emissions Inventories. Environmental Science & Technology. https://doi.org/10.1021/es0700799
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
