Publications

Skip Navigation Links.
Recently Published
Expand per documenttypeper documenttype
Collapse per Unitper Unit
Expand Business DevelopmentBusiness Development
Expand Biomass & Energy EfficiencyBiomass & Energy Efficiency
Collapse Policy StudiesPolicy Studies
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
2000
1999
1998
1997
1996
1995
1994
1993
1992
1991
1990
1989
1988
1987
1986
1985
1984
1983
1982
1981
1980
1979
1977
Expand Corporate CommunicationsCorporate Communications
Expand CorporateCorporate
Expand Environment & Energy EngineeringEnvironment & Energy Engineering
Expand Program DevelopmentProgram Development
Expand Quality Safety Health and EnvironmentQuality Safety Health and Environment
Expand Strategy & PlanningStrategy & Planning
Expand Wind EnergyWind Energy
Expand Solar EnergySolar Energy
Expand per Clusterper Cluster

Search for publications:


Limit search to the fields

ECN publication
Title:
Endogenous learning in climate-energy-economic models. An inventory of key uncertainties
 
Author(s):
Zwaan, B.C.C. van der; Seebregts, A.J.
 
Published by: Publication date:
ECN Policy Studies 1-2-2004
 
ECN report number: Document type:
ECN-RX--04-111 Article (scientific)
 
Number of pages:
0  

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

Abstract:
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