BibTex format
@article{Giarola:2021:10.1016/j.scitotenv.2021.146861,
author = {Giarola, S and Mittal, S and Vielle, M and Perdana, S and Campagnolo, L and Delpiazzo, E and Bui, H and Anger, Kraavi A and Kolpakov, A and Sognnaes, I and Peters, G and Hawkes, A and Koberle, A and Grant, N and Gambhir, A and Nikas, A and Doukas, H and Moreno, J and van, de Ven D-J},
doi = {10.1016/j.scitotenv.2021.146861},
journal = {Science of the Total Environment},
title = {Challenges in the harmonisation of global integrated assessment models: a comprehensive methodology to reduce model response heterogeneity},
url = {http://dx.doi.org/10.1016/j.scitotenv.2021.146861},
volume = {783},
year = {2021}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - Harmonisation sets the ground to a solid inter-comparison of integrated assessment models. A clear and transparent harmonisation process promotes a consistent interpretation of the modelling outcomes divergences and, reducing the model variance, is instrumental to the use of integrated assessment models to support policy decision-making. Despite its crucial role for climate economic policies, the definition of a comprehensive harmonisation methodology for integrated assessment modelling remains an open challenge for the scientific community.This paper proposes a framework for a harmonisation methodology with the definition of indispensable steps and recommendations to overcome stumbling blocks in order to reduce the variance of the outcomes which depends on controllable modelling assumptions. The harmonisation approach of the PARIS REINFORCE project is presented here to layout such a framework. A decomposition analysis of the harmonisation process is shown through 6 integrated assessment models (GCAM, ICES-XPS, MUSE, E3ME, GEMINI-E3, and TIAM). Results prove the potentials of the proposed framework to reduce the model variance and present a powerful diagnostic tool to feedback on the quality of the harmonisation itself.
AU - Giarola,S
AU - Mittal,S
AU - Vielle,M
AU - Perdana,S
AU - Campagnolo,L
AU - Delpiazzo,E
AU - Bui,H
AU - Anger,Kraavi A
AU - Kolpakov,A
AU - Sognnaes,I
AU - Peters,G
AU - Hawkes,A
AU - Koberle,A
AU - Grant,N
AU - Gambhir,A
AU - Nikas,A
AU - Doukas,H
AU - Moreno,J
AU - van,de Ven D-J
DO - 10.1016/j.scitotenv.2021.146861
PY - 2021///
SN - 0048-9697
TI - Challenges in the harmonisation of global integrated assessment models: a comprehensive methodology to reduce model response heterogeneity
T2 - Science of the Total Environment
UR - http://dx.doi.org/10.1016/j.scitotenv.2021.146861
UR - http://hdl.handle.net/10044/1/89157
VL - 783
ER -