Uncertainty in climate change modeling: can global sensitivity analysis be of help?

  title={Uncertainty in climate change modeling: can global sensitivity analysis be of help?},
  author={Barry Anderson and Emanuele Borgonovo and Marzio Galeotti and Roberto Roson},
  journal={Risk analysis : an official publication of the Society for Risk Analysis},
  volume={34 2},
Integrated assessment models offer a crucial support to decisionmakers in climate policy making. For a full understanding and corroboration of model results, analysts ought to identify the exogenous variables that influence the model results the most (key drivers), appraise the relevance of interactions, and the direction of change associated with the simultaneous variation of uncertain variables. We show that such information can be directly extracted from the data set produced by Monte Carlo… CONTINUE READING
12 Citations
97 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 12 extracted citations


Publications referenced by this paper.
Showing 1-10 of 97 references

A Question of Balance—Weighing the Options on Global Warming Policies

  • WD Nordhaus
  • New Haven: Yale University Press,
  • 2008
Highly Influential
10 Excerpts

General foundations of high-dimensional model representations

  • H Rabitz, ÖF Alis
  • Journal of Mathematical Chemistry,
  • 1999
Highly Influential
7 Excerpts

Optimization of a non-linear dynamical system for global climate change

  • MA Jannsen
  • European Journal of Operational Research,
  • 1997
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…