Skip Navigation Links.

Search for publications:

Limit search to the fields

ECN publication
Endogenous learning in climate-energy-economic models. An inventory of key uncertainties
Published by: Publication date:
ECN Policy Studies 1-2-2004
ECN report number: Document type:
ECN-RX--04-111 Article (scientific)
Number of pages:

Published in: International Journal of Energy Technology and Policy,2, 1/2, 2004, pp. 130-141. (Inderscience Publishers), , , Vol., p.-.

This paper gives an overview of uncertainties related to endogenouslearning as observed in integrated assessment models (IAMs) of global warming, both for bottum-up and top-down climate-energy-economic models. A classification is formulated by which uncertainties can be evaluated, and parameter uncertainties. We emphasise that the analysis of uncertainties in IAM exercises of global warming is essential for both scientific and policy-making related reasons. At present, proper analyses of the sensititivity and robustness characteristics of modelling results are often omitted. Our main conclusion, and recommendation, is that in future IAM analyses of climate change, both for the benefit of scientists and public policy decision makers, the presence of different kinds of uncertainties should be appropriately recognised, classified, quantified and reported.

Back to List