https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43762 super-resolution, which is aimed at increasing spatial resolution in tomographic adaptive optics by introducing diversity in the alignment of different wavefront sensors. The optimisation of super-resolution requires efficient computation of the wavefront estimation error. A model of the wavefront sensor compatible with super-resolution is proposed in this paper, together with a suitable cost function to optimise the super-resolution geometry. We provide initial optimisation results verified by end-to-end simulations. In future work we will investigate the parallelisation of the optimisation routine, and alternative optimisation methods.]]> Wed 28 Sep 2022 15:51:56 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42454 Tue 23 Aug 2022 11:43:16 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54010 Thu 25 Jan 2024 14:20:57 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35357 Thu 18 Jul 2019 12:36:18 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35354 Thu 18 Jul 2019 10:23:17 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43335 Thu 15 Sep 2022 15:04:30 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19983 Sat 24 Mar 2018 07:50:58 AEDT ]]> https://ogma.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://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30846 Sat 24 Mar 2018 07:33:54 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29285 Sat 24 Mar 2018 07:32:53 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28993 Sat 24 Mar 2018 07:29:26 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26695 Sat 24 Mar 2018 07:26:23 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35338 Mon 20 Nov 2023 14:24:09 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35150 Fri 21 Jun 2019 14:31:03 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35316 Fri 12 Jul 2019 12:55:18 AEST ]]>