Modélisation

Guivarch, C., Le Gallic, T., Bauer, N. et al. Using large ensembles of climate change mitigation scenarios for robust insights. Nat. Clim. Chang. (2022). https://doi.org/10.1038/s41558-022-01349-x

Lecocq F., Nadaï A., Cassen C. 2022. Getting models and modellers to inform deep decarbonization strategies, Climate Policy, DOI: 10.1080/14693062.2021.2002250

Lefèvre J., Le Gallic T., Fragkos P., Mercure J.F., Simsek Y., Paroussos L., Global socio-economic and climate change mitigation scenarios through the lens of structural change, Global Environmental Change, Volume 74

Quirion P., TETE, un outil pour estimer les emplois générés par la transition écologique : présentation et application au scénario négaWatt 2022

Su, X., Ghersi, F., Teng, F. et al. (2022) The economic impact of a deep decarbonisation pathway for China: a hybrid model analysis through bottom-up and top-down linking. Mitig Adapt Strateg Glob Change 27, 11

Thais Diniz Oliveira, Thierry Brunelle, Bertrand Guenet, Philippe Ciais, Florian Leblanc, Céline Guivarch

Harmsen, M., Kriegler, E., van Vuuren, D. P., van der Wijst, K.-I., Luderer, G., Cui, R., Guivarch C., ... Leblanc F., … Zakeri, B. (2021). Integrated assessment model diagnostics: key indicators and model evolution. Environmental Research Letters

Wilson, C., C. Guivarch, E. Kriegler et al. (2021). Evaluating process-based integrated assessment models of climate change mitigation. Climatic Change

Xavier Boulet, Mahdi Zargayouna, Gérard Scemama et Fabien Leurent

Baselines for Dynamic Computable General Equilibrium Models, Vol 5, No 1 (2020)