https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36294 Thu 21 Oct 2021 12:52:59 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25408 Thu 20 Oct 2022 13:23:28 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25758 Thu 20 Oct 2022 09:48:35 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29177 2). Central to any IAM is a climate model capturing the dynamic response of global surface temperature to changes in net downward radiative forcing due to the atmospheric accumulation of heat-trapping greenhouse gases. The transient climate response (TCR), defined as the temperature change at the time of CO₂ doubling under a scenario in which CO₂ concentrations increase by 1% yr^-1, plays a central role in quantifying the economic impacts of climate change on policy-relevant timescales. In this paper, we propose an optimization-based methodology for computing the parameters of a climate model in such a way that the resulting model exhibits a specified TCR. The methodology developed in this paper targets the climate model parameterization employed in DICE (Dynamic Integrated model of Climate and the Economy), a widely studied IAM for which TCR is only indirectly specified. Results reported herein enable policymakers using DICE to compute optimal CO₂ emissions pathways which directly reflect the TCR of state-of-the-art climate models documented in the most recent(Fifth) Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC).]]> Sat 24 Mar 2018 07:35:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:3360 Sat 24 Mar 2018 07:18:54 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17248 Mon 20 Nov 2023 14:40:20 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37458 Mon 14 Dec 2020 11:15:19 AEDT ]]>