A Bayesian-inferred physical module to estimate robust mitigation pathways with cost-benefit IAMs
Published in EGU General Assembly 2021, 2021
Recommended citation: Gasser, T., Baklanov, A., Rezai, A., Cheritel, C., and Obersteiner, M.: A Bayesian-inferred physical module to estimate robust mitigation pathways with cost-benefit IAMs, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-15363, https://doi.org/10.5194/egusphere-egu21-15363, 2021. https://doi.org/10.5194/egusphere-egu21-15363
The purpose of this abstract and presentation is to present a compact climate module that can be used to make certain IAMs more accurate and relevant. This climate module is calibrated in a Bayesian manner and thus makes it possible to highlight the impact of uncertainty for robust decision making.
Download the abstract here and the presentation there.
Recommended citation: Gasser, T., Baklanov, A., Rezai, A., Cheritel, C., and Obersteiner, M.: A Bayesian-inferred physical module to estimate robust mitigation pathways with cost-benefit IAMs, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-15363, https://doi.org/10.5194/egusphere-egu21-15363, 2021.