Jump to Content

< back

Probabilistic Assessment of 'Dangerous' Climate Change and Emissions Scenarios

Professor Stephen H. Schneider

Professor Stephen H. Schneider

Melvin and Joan Lane Professor for Interdisciplinary Environmental Studies;
Professor, Department of Biological Sciences;
Co-Director, Centre for Environmental Science and Policy at the Stanford Institute for International Studies,
Stanford University U.S.A.
http://stephenschneider.stanford.edu

Abstract
Successful compliance with Article 2 of the United Nations Framework Convention on Climate Change, prevention of “dangerous anthropogenic interference with the climate system” (DAI), is dependent in part on the climate policy decisions driving future greenhouse gas mitigation efforts and stabilization levels. The likelihood of avoiding a given threshold for DAI is in part dependent upon the range of uncertainty for climate sensitivity. We combine a set of probabilistic global average temperature metrics for DAI with probability distributions of future climate change produced from published climate sensitivity distributions and a range of proposed emissions stabilization pathways differing in both stabilization level and approach trajectory—including overshoot scenarios.

These analyses present a “likelihood framework” to differentiate future emissions pathways with regard to their potential for preventing DAI. Our analysis of overshoot scenarios in comparison with non-overshoot scenarios demonstrates that overshoot of a given stabilization target can significantly increase the likelihood of exceeding “dangerous” climate impact thresholds, even though equilibrium warming is identical to non-overshoot stabilization at the same concentration target.

top^