Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6962556 | Environmental Modelling & Software | 2016 | 18 Pages |
Abstract
The new scenario framework developed by the climate change research community rests on the fundamental logic that a diversity of socio-economic pathways can lead to the same radiative forcing, and therefore that a given level of radiative forcing can have very different socio-economic impacts. We propose a methodology that implements a “scenario discovery” cluster analysis and systematically identifies diverse groups of scenarios that share common outcomes among a database of socio-economic scenarios. We demonstrate the methodology with two examples using the Shared Socio-economic Pathways framework. We find that high emissions scenarios can be associated with either high or low per capita GDP growth, and that high productivity growth and catch-up are not necessarily associated with high per capita GDP and high emissions.
Related Topics
Physical Sciences and Engineering
Computer Science
Software
Authors
Céline Guivarch, Julie Rozenberg, Vanessa Schweizer,