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The IPCC Sixth Assessment Report WGIII climate assessment of mitigation pathways: from emissions to global temperatures

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Abstract

While the IPCC’s physical science report usually assesses a handful of future scenarios, the IPCC Sixth Assessment Working Group III report (AR6 WGIII) on climate mitigation assesses hundreds to thousands of future emissions scenarios. A key task is to assess the global-mean temperature outcomes of these scenarios in a consistent manner, given the challenge that the emission scenarios from different integrated assessment models come with different sectoral and gas-to-gas coverage and cannot all be assessed consistently by complex Earth System Models. In this work, we describe the “climate assessment” workflow and its methods, including infilling of missing emissions and emissions harmonisation as applied to 1,202 mitigation scenarios in AR6 WGIII. We evaluate the global-mean temperature projections and effective radiative forcing characteristics (ERF) of climate emulators FaIRv1.6.2, MAGICCv7.5.3, and CICERO-SCM, discuss overshoot severity of the mitigation pathways using overshoot degree years, and look at an interpretation of compatibility with the Paris Agreement. We find that the lowest class of emission scenarios that limit global warming to “1.5 °C (with a probability of greater than 50 %) with no or limited overshoot” includes 90 scenarios for MAGICCv7.5.3, and 196 for FaIRv1.6.2. For the MAGICCv7.5.3 results, “limited overshoot” typically implies exceedance of median temperature projections of up to about 0.1 °C for up to a few decades, before returning to below 1.5 °C by or before the year 2100. For more than half of the scenarios of this category that comply with three criteria for being “Paris-compatible”, including net-zero or net-negative greenhouse gas (GHG) emissions, are projected to see median temperatures decline by about 0.3–0.4 °C after peaking at 1.5–1.6 °C in 2035–2055. We compare the methods applied in AR6 with the methods used for SR1.5 and discuss the implications. This article also introduces a ‘climate-assessment’ Python package which allows for fully reproducing the IPCC AR6 WGIII temperature assessment. This work can be the start of a community tool for assessing the temperature outcomes related to emissions pathways, and potential further work extending the workflow from emissions to global climate by downscaling climate characteristics to a regional level and calculating impacts.
EGUsphere, author comment AC2
https://doi.org/10.5194/egusphere-2022-471-AC2, 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Final author comment (AC) on behalf of all co-authors, responding
to RC1 and RC2
Jarmo S. Kikstra et al.
Author comment on "The IPCC Sixth Assessment Report WGIII climate assessment of
mitigation pathways: from emissions to global temperatures" by Jarmo S. Kikstra et al.,
EGUsphere, https://doi.org/10.5194/egusphere-2022-471-AC2, 2022
We would like to thank both reviewers for their helpful, detailed, and constructive
comments. We can include all suggestions in the following revision of the manuscript.
Attached is a PDF file with our detailed responses to both RC1 and RC2.
Please also note the supplement to this comment:
https://egusphere.copernicus.org/preprints/2022/egusphere-2022-471/egusphere-2022-4
71-AC2-supplement.pdf
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... This requires assumptions to be made about the non-CO 2 emission trajectories, and the use of an appropriately calibrated simple climate model to capture uncertainty in the response of the climate system to emissions (Brecha et al 2022, Kikstra et al 2022. In this paper, we first infer the methane (CH 4 ) and nitrous oxide (N 2 O) emissions using a quantile-based infilling method (Lamboll et al 2020), and then proceed to use the sequence of harmonization, infilling, and climate assessment steps applied in AR6 WG III (Kikstra et al 2022), with one key difference. ...
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... FaIR was chosen as it is open source and efficient to run. For further details on the calibration performed for AR6 WG III, please refer to Kikstra et al (2022). ...
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