18 October 2016
The special issue highlights how different SSP narratives can be translated into a set of assumptions for economic growth, population change, and urbanization, and how these projections can in turn be used by integrated assessment modeling (IAM) models for the development new scenarios. The opening paper “Socioeconomic Pathways and their Energy, Land Use, and Greenhouse Gas Emissions Implications: An Overview”, led by Keywan Riahi, provides a comprehensive synopsis of the special issue. This issue includes individual papers providing a detailed discussion of the key scenario drivers underlying the SSPs with the aim to offer the modeling community a set of common assumptions for alternative socioeconomic development pathways. Several papers finally provide detailed insights into the integrated scenarios developed by six different integrated assessment modelling teams, with special attention given to energy, land-use, and emissions projections.
Development of global population and education (A), urbanization (B), GDP (C), and GDP per capita and the Gini index (D).
These SSP narratives can be combined with different climate policy assumptions and climate change projections and thus facilitate the integrated analyses of impacts, vulnerability, adaptation and mitigation. In short, the Special issue will be a major reference for the SSPs.
Energy Program researchers will also launch a the SSP database on IAM elaborations of the SSPs.
The scenario data will complement earlier information on the basic economic and demographic elements of the SSPs posted in March 2013.
Last edited: 10 July 2018
Program Director and Principal Research Scholar Energy, Climate, and Environment Program
Principal Research Scholar Integrated Assessment and Climate Change Research Group - Energy, Climate, and Environment Program
Principal Research Scholar Pollution Management Research Group - Energy, Climate, and Environment Program
Principal Research Scholar Sustainable Service Systems Research Group - Energy, Climate, and Environment Program
The preliminary results of the SSP Scenarios
A database with scenarios from the integrated assessment community to expedite climate change assessments
International Institute for Applied Systems Analysis (IIASA)
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