EUCLIMIT

Overview

The objective is to make available updated and improved quantitative tools and to use them to assess scenarios and policy options for implementing and further developing the Climate and Energy package and other climate relevant policies in the medium (up to 2020/2030) and long term (up to 2050), including economic, environmental and social implications, both for the EU as a whole as well as all its individual EU Member States and candidate countries. These analytical/quantitative tools should also allow the possibility to assess possible tradeoffs or synergies with other policies, in particular related to air pollution, land use and energy and resource efficiency. 
Specific objectives are:

1. Updating or constructing one or more baseline projections and variants therefore
2. Assessment of the impacts of measures or packages of climate or climate relevant policy measures compared to the relevant baseline(s);
3. User-friendly presentation of assumptions and detailed (draft) results on a website and in consultation processes with Member States.

The expected end results are scenarios and assessments of the major impacts of the selected policy options and sensitivity analyses that can be used as input for the policy debate as well as for strategic decisions on the measures (or packages of measures) to reduce greenhouse gas emissions, increase the security of energy supply and foster sustainable growth and jobs as well as competitiveness of the EU. A complementary expected result is a website appropriately presenting modelling tools, assumptions and (draft) results and suitable for consultation with Member State experts.

IIASA Research

Based on projections of bioenergy demand for EU countries IIASA ESM will estimate impacts on emissions in the land use sector, including activities like forest management, deforestation, afforestation, cropland and grassland management. A reference and a business as usual scenarios will be developed to assess impacts of policies on this sector. The global land use model GLOBIOM and the global forestry model G4M are applied. Both models are substantially improved in their geographical resolution for this project. Results will give insight into the future emissions from different land uses and land use changes in EU countries and their drivers as well as into impacts of EU policies including environmental, social and economic implications.

Last edited: 28 May 2014