MnrAq

Annex 1 175
Figure 9: Activity and ship technical and operational data merger process
For unobserved cargo-carrying ship types, technical data is generated such that emissions can be estimated
based on activity data surrogates from the same subclass and capacity bin. For the other ship types, ship class
average values are used for estimating emissions and gap filling is conducted on a ship class basis.
It should be noted that due to license terms (from the providers of both technical data and AIS data), the data
outputs depicted in Figure 9 are available to the consortium members only and during the duration of the
study only. At the end of the study, they will be destroyed.
Bottom-up model calculation procedure
The bottom-up method combines both activity data (derived from AIS and LRIT raw data sources) and
technical data (derived from IHSF and a series of empirical and literature-derived assumptions).
The model has been written in the programming language Matlab in order to take advantage of the data
handling, statistical and modelling functionality and run-time management offered by this commercial
software. The model is composed of a main programme (Run) which calls a number of subroutines as listed in
Table 10. Each ship has a maximum of 8,760 different activity observations per year, and with approximately
60,000 ships included in a given year’s fleet, the run-time of the model is significant on conventional hardware
(hours).