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Third IMO Greenhouse Gas Study 2014

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60 <strong>Third</strong> <strong>IMO</strong> GHG <strong>Study</strong> <strong>2014</strong><br />

1.4 Quality assurance and control of top-down and bottom-up inventories<br />

The quality analysis is presented in three sections. The first section discusses QA/QC for the top-down<br />

emissions inventory. The second section summarizes the QA/QC elements of the bottom-up fuel and emissions<br />

inventory. The third section contains a comparison of the top-down and bottom-up emissions inventories.<br />

Sections 1.1 and 1.2 contain many detailed processes that constitute QA/QC effort; these sections therefore<br />

discuss QA/QC mainly in summary and provide context for the quantitative bottom-up uncertainty analysis<br />

in Section 1.5.<br />

1.4.1 Top-down QA/QC<br />

Top-down statistics were evaluated for transparency and any significant discrepancies that might reflect<br />

confidence in inventories based on fuel statistics.<br />

This section begins with a review of the Second <strong>IMO</strong> GHG <strong>Study</strong> 2009 and a brief discussion of data quality,<br />

confidence and uncertainty. It reviews relevant data quality information provided by IEA, including information<br />

about likely causes of potential under- or overestimation of marine fuel use (both domestic and international).<br />

Top-down method QA/QC efforts undertaken specifically for this study are described. Lastly, this section<br />

gives a QA/QC summary of the study.<br />

Second <strong>IMO</strong> GHG <strong>Study</strong> 2009: review of top-down data quality<br />

The Second <strong>IMO</strong> GHG <strong>Study</strong> 2009 performed qualitative analyses of errors and inconsistencies of IEA statistics<br />

to help explore how the top-down and bottom-up discrepancy may be explained by uncertainty in reported<br />

fuel statistics. That study identified the following potential issues with top-down data:<br />

• different data quality between OECD and non-OECD countries (fishing);<br />

• identical numbers from year to year for some countries;<br />

• big swings from year to year for other countries;<br />

• differences in EIA bunkers statistics.<br />

Although a number of challenges were recognized, mainly arising from the use of different data sources, the<br />

sources of uncertainty remained unexplored and potential corrections were not attempted.<br />

The Second <strong>IMO</strong> GHG <strong>Study</strong> 2009 explicitly quoted provisions in the IEA Agreement on an International<br />

Energy Program (IEP) that determined which fuels would be considered in national oil stocks and which were<br />

considered to be counted as international data. In particular, international marine bunkers were “treated as<br />

exports under a 1976 Governing Board decision incorporated into the Emergency Management Manual”<br />

(Scott, 1994). This information and subsequent discussion in the Second <strong>IMO</strong> GHG <strong>Study</strong> 2009 suggested that<br />

some degree of allocation error among international bunkers, exports and/or imports could be a factor in the<br />

accuracy of top-down fuel statistics for shipping.<br />

IEA statistics: review of top-down data quality<br />

IEA collects data from OECD countries that have agreed to report mandatory data through monthly and joint<br />

annual IEA/Eurostat/UNECE questionnaires. For non-OECD countries, IEA collects data through voluntary<br />

submissions (using no standard format) or through estimates made by IEA or its contractors. Figure 43 presents<br />

a map of OECD and non-OECD countries that provide energy data to IEA; not all of these countries have<br />

marine fuel sales to report (Morel, 2013).

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