ECEMF Diagnostic Scenarios, version 2.0 (original) (raw)
Published October 30, 2023 | Version 2.0
Dataset Open
Authors/Creators
- 1. Potsdam Institute for Climate Impact Research (PIK), Germany
- 2. KTH Royal Institute of Technology, Stockholm, Sweden
- 3. Planbureau voor de Leefomgeving (PBL), Den Haag, Netherlands
- 4. Faculty of Technology, Policy and Management, Delft University of Technology, Netherlands
- 5. E3-Modelling S.A., Panormou 70-72, Athens, Greece
- 6. Energy, Climate, and Environment (ECE) Program, International Institute for Applied Systems Analysis (IASA), Laxenburg, Austria
- 7. RFF-CMCC European Institute for the Economics and the Environment (ElSE), Milan, Italy
- 8. TNO Energy Transition, Amsterdam, The Netherlands
- 9. The Institute of Environmental Protection - National Research Institute (IOS-PIB) / National Centre for Emissions Management (KOBiZE), Warsaw, Poland
Description
This dataset compiles diagnostic scenarios from several Integrated Assessment Models (IAM) and Energy System Models (ESM) to facilitate systematic comparison of a broad range of results across these models.
These diagnostic scenarios were developed in the Horizon 2020 project ECEMF (https://ecemf.eu).
Visit the ECEMF Scenario Explorer hosted by IIASA at https://ecemf.apps.ece.iiasa.ac.at/ for more information and interactive user interface to work with the scenario data.
Files
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