Emissions/Data uncertainties limitations

Component is implemented in:

IMAGE land management model (version IMAGE land management 3.2) Components: Emissions Forest management Land cover and land use Land-use allocation Livestock systems Nutrients and TIMER model (version TIMER 3.2) Aggregated component: Energy supply and demand Components: Emissions Energy conversion Energy demand Energy supply

Projects/Applications

EMF30 LIMITS (2014) Roads from Rio+20 (2012) project Shared Socioeconomic Pathways - SSP (2014) project

Models/Databases

CEDS database EDGAR database GAINS database

Key publications

Braspenning Radu et al., 2016 Harmsen et al., 2019c Lucas et al., 2007 Rao et al., 2016 Rao et al., 2017 Van Vuuren et al., 2006 Van Vuuren et al., 2011b

References

Granier, 2011 IPCC, 2006 IPCC, 2007a JRC/PBL, 2012 Lamarque et al., 2010

Flowchart Emissions. See also the Input/Output Table on the introduction page. Anthropogenic sources, for natural sources see Table 5.2.2. More detail on inputs and outputs, and how they link to other IMAGE components is presented at the end of this section (Emission table).

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Data, uncertainty and limitations

Data

Global, historical emission data are provided in a range of inventories. The EDGAR database (JRC/PBL, 2012) was preferred for IMAGE because of its high level of detail and the similar sectoral and regional definitions. As part of the SSP project, non-CO₂ GHG and pollutant emissions have been calibrated until 2015 with the CEDS database (Hoesly et al, 2018), which includes the most recent updates in emission factors, is based on a more consistent and reproducible methodology, and leads to estimates that are comparable to, but generally slightly higher than existing global inventories. Earlier, now less used, inventories include the database underlying the RAINS/GAINS system, the RETRO database and the RCP database (Lamarque et al., 2010). An overview of available inventories by Granier (2011) has shown large differences between the databases for carbon monoxide, nitrogen oxides, sulphur dioxide and black carbon on global and regional scales. Most emission factors for land-use emissions are based on IPCC methodologies and parameters (IPCC, 2006)

Uncertainties

Data on activities and emission factors need to be aggregated in order to be used in IMAGE. In this process, decisions need to be made (e.g., on the use of weighted averages and representative sectors), which lead to additional uncertainties. In general terms there are three levels of uncertainty. For energy and industry, emission factors for CO₂ are less uncertain than those for non-CO₂ emissions. In turn, the uncertainty in emission factors for land use and natural sources is larger than for energy and industry sources because of the extreme variability of the factors controlling processes in space and time.

Future emissions and their uncertainty depend on the activity levels determined by other IMAGE components, and on the emission factors. Estimations of future emission factors in the energy and industry systems, described above, rely on historical observations and learning curves. However, future legislation and effective implementation may influence these factors more, and more abruptly. Emission factors for land-use activities may change in the future, also in the absence of climate policy, but are assumed to be constant because of lack of data. As the future development of emission factors is per definition uncertain, the influence is explored by changing the emission factors for different storyline-based scenarios.

Limitations

IMAGE covers almost all emission sources and gases within a consistent framework, based on a few international data sets and authoritative sources. However, some specific emissions are only included as a group, without the underlying production processes. Even more importantly, IMAGE does not include emissions from peat and peat fires, although they constitute an important source of air pollutants and CO₂ emissions (IPCC, 2007a).