In a study published today in Nature Climate Change a scientific team led by researchers of the European Commission’s Joint Research Centre proposes a method for improving the assessment of collective progress towards the Paris Agreement’s goal of limiting the global temperature increase to 2oC above preindustrial levels.
Inconsistencies between the land use CO2 estimates of the national greenhouse gas (GHG) inventories and those of the global models can lead to inaccuracies in such assessment.
The study reconciles the different land-use GHG estimates by "translating" the results of global models into figures comparable to countries’ GHG inventories.
The findings of the study are relevant for the global carbon modelling community (including the Intergovernmental Panel on Climate Change) and for the Global Stocktake (the periodic assessment of collective climate progress starting in 2022 under the Paris Agreement)
The main issue: Conceptual discrepancy between model estimates and country reporting
Under the Paris Agreement, countries agreed to keep the increase in global temperature to well-below 2OC relative to pre-industrial times and, to this aim, shall reach a "balance between anthropogenic GHG emissions and removals in the second half of this century".
Countries, using national GHG inventories, monitor national emissions using agreed IPCC methodologies, while global models (called Integrated Assessment Models) use different methods to estimate future emission pathways consistent with the temperature goal.
Their different approaches led to different estimates of the 'anthropogenic' land CO2 removals, as if they were speaking different languages.
The magnitude of this difference – equalling today around 5 Giga ton of CO2 emissions, and reducing over time with high-ambition emission reduction scenarios – complicates the task of assessing collective climate progress under the Paris Agreement’s Global Stocktake. In this process, the collective countries’ GHG estimates will be compared to what science suggests as necessary to stay to well-below 2oC. Speaking the same language, namely having comparable data, is, hence, crucial.
The solution proposed: Calibrating different languages to make estimates comparable
The new study combines key expertise from the global modelling and GHG inventory communities, and provides a means to translate the estimates of future land emission pathways developed by global models to figures more comparable with the estimates by countries.
The main reason for the differences in the estimates between the models and the inventories is the definition of 'anthropogenic' CO2 removals by forest.
Country GHG inventories consider a broader forest area than global models, and on this area, they consider some 'anthropogenic' fluxes seen in the global models as 'natural'.
Both approaches are valid in their own specific context, yet both have limitations. Since there is no perfect way to estimate the anthropogenic CO2 sink, what counts most is the transparency and comparability of these estimates, across countries and with global models.
The method in this study enables comparison between these two different approaches by reallocating part of the forest CO2 removals considered 'natural' by the global models to the 'anthropogenic' component.
This way, the estimates of total atmospheric CO2 fluxes are not changed, but instead the ‘anthropogenic’ emissions and removals estimated by the models are adjusted to be comparable with those in country GHG reporting.
The proposed solution does not change the models’ original decarbonization pathways, but recalibrates them to ensure greater comparability with countries’ GHG reporting. This will improve the understanding of how the remaining allowable economy-wide cumulative net emissions (i.e. the 'remaining GHG budget') for a well-below 2OC target correspond to the collective estimates from reported inventories. The JRC study thus makes the case for strengthening rapid and ambitious global mitigation efforts.
- Publication date
- 26 April 2021