Improving Spatial Representation of Global Ship Emissions Inventories

College of Marine and Earth Studies, University of Delaware, Robinson Hall, Newark, Delaware 19716, USA.
Environmental Science and Technology (Impact Factor: 5.33). 02/2008; 42(1):193-9. DOI: 10.1021/es0700799
Source: PubMed


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 (

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    • "The impact of shipping on aerosols and the deposition rates of SO X and NO X is estimated by calculating differences between model simulations with and without ship emissions. The ship emission inventory used provides monthly mean emissions representative for the year 2002 [Wang et al., 2008]. The annual emission totals from shipping are 9. "
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    Geophysical Research Letters 06/2013; 40(11):2731-2736. DOI:10.1002/grl.50521 · 4.20 Impact Factor
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    • "We randomly varied input data given an a priori uncertainty distributions with a coefficient of variation (CV). CVs of fuel consumptions from ships/aviation and wildfires are set to be 20 and 18 %, respectively, with normal distributions (Wang et al., 2008; van der Werf et al., 2010). A CV of 10 % was adopted for all other fuel data, with a uniform distribution (Ciais et al., 2010; Marland et al., 2008). "
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    Atmospheric Chemistry and Physics 08/2012; 12(8):21211-21239. DOI:10.5194/acpd-12-21211-2012 · 4.88 Impact Factor
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    • "Monthly resolved ship traffic density datasets on the basis of AMVER and COADS data do exist (e.g. Wang et al., 2007; Lamarque et al., 2010), but the uncertainty introduced by using annually mean emission fields is probably negligible compared to the uncertainty associated with the emissions themselves (A. Lauer, personal communication, 2011). "
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