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      Contrasting suitability and ambition in regional carbon mitigation

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          Abstract

          Substantially enhancing carbon mitigation ambition is a crucial step towards achieving the Paris climate goal. Yet this attempt is hampered by poor knowledge on the potential cost and benefit of emission mitigation for each emitter. Here we use a global economic model to assess the mitigation costs for 27 major emitting countries and regions, and further contrast the costs against the potential benefits of mitigation valued as avoided social cost of carbon and the mitigation ambition of each region. We find a strong negative spatial correlation between cost and benefit of mitigating each ton of carbon dioxide. Meanwhile, the relative suitability of carbon mitigation, defined as the ratio of normalized benefit to normalized cost, also shows a considerable geographical mismatch with the mitigation ambition of emitters indicated in their first submitted nationally determined contributions. Our work provides important information to improve concerted climate action and formulate more efficient carbon mitigation strategies.

          Abstract

          New study finds geographical mismatch in cross-regional ranking between cost and benefit of carbon mitigation, as well as spatial mismatch between relative suitability of mitigation and mitigation ambition of emitters.

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          Most cited references56

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          An Overview of CMIP5 and the Experiment Design

          The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance our knowledge of climate variability and climate change. Researchers worldwide are analyzing the model output and will produce results likely to underlie the forthcoming Fifth Assessment Report by the Intergovernmental Panel on Climate Change. Unprecedented in scale and attracting interest from all major climate modeling groups, CMIP5 includes “long term” simulations of twentieth-century climate and projections for the twenty-first century and beyond. Conventional atmosphere–ocean global climate models and Earth system models of intermediate complexity are for the first time being joined by more recently developed Earth system models under an experiment design that allows both types of models to be compared to observations on an equal footing. Besides the longterm experiments, CMIP5 calls for an entirely new suite of “near term” simulations focusing on recent decades and the future to year 2035. These “decadal predictions” are initialized based on observations and will be used to explore the predictability of climate and to assess the forecast system's predictive skill. The CMIP5 experiment design also allows for participation of stand-alone atmospheric models and includes a variety of idealized experiments that will improve understanding of the range of model responses found in the more complex and realistic simulations. An exceptionally comprehensive set of model output is being collected and made freely available to researchers through an integrated but distributed data archive. For researchers unfamiliar with climate models, the limitations of the models and experiment design are described.
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            The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview

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              The next generation of scenarios for climate change research and assessment.

              Advances in the science and observation of climate change are providing a clearer understanding of the inherent variability of Earth's climate system and its likely response to human and natural influences. The implications of climate change for the environment and society will depend not only on the response of the Earth system to changes in radiative forcings, but also on how humankind responds through changes in technology, economies, lifestyle and policy. Extensive uncertainties exist in future forcings of and responses to climate change, necessitating the use of scenarios of the future to explore the potential consequences of different response options. To date, such scenarios have not adequately examined crucial possibilities, such as climate change mitigation and adaptation, and have relied on research processes that slowed the exchange of information among physical, biological and social scientists. Here we describe a new process for creating plausible scenarios to investigate some of the most challenging and important questions about climate change confronting the global community.
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                Author and article information

                Contributors
                liuyu@casipm.ac.cn
                dumingxi28@xjtu.edu.cn
                linjt@pku.edu.cn
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                14 July 2022
                14 July 2022
                2022
                : 13
                : 4077
                Affiliations
                [1 ]GRID grid.9227.e, ISNI 0000000119573309, Institutes of Science and Development, , Chinese Academy of Sciences, ; Beijing, 100190 China
                [2 ]GRID grid.410726.6, ISNI 0000 0004 1797 8419, School of Public Policy and Management, , University of Chinese Academy of Sciences, ; Beijing, 100049 China
                [3 ]GRID grid.43169.39, ISNI 0000 0001 0599 1243, School of Public Policy and Administration, , Xi’an Jiaotong University, ; Xi’an, 710049 China
                [4 ]GRID grid.11135.37, ISNI 0000 0001 2256 9319, Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, , Peking University, ; Beijing, 100871 China
                [5 ]GRID grid.497420.c, ISNI 0000 0004 1798 1132, School of Economics and Management, , China University of Petroleum, ; Qingdao, 266580 China
                [6 ]GRID grid.20513.35, ISNI 0000 0004 1789 9964, School of Economics and Resource Management, , Beijing Normal University, ; Beijing, 100875 China
                [7 ]GRID grid.443284.d, ISNI 0000 0004 0369 4765, Digital Economy Laboratory, , University of International Business and Economics, ; Beijing, 100029 China
                [8 ]GRID grid.38678.32, ISNI 0000 0001 2181 0211, Department of Biological Sciences, , University of Quebec at Montreal, ; Montreal, QC H3C 3P8 Canada
                [9 ]GRID grid.12527.33, ISNI 0000 0001 0662 3178, Ministry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, , Tsinghua University, ; Beijing, 100084 China
                [10 ]GRID grid.164295.d, ISNI 0000 0001 0941 7177, Department of Geographical Sciences, , University of Maryland, ; College Park, MD 20742 USA
                [11 ]GRID grid.4830.f, ISNI 0000 0004 0407 1981, Integrated Research on Energy, Environment and Society (IREES), Energy and Sustainability Research Institute Groningen (ESRIG), , University of Groningen, ; Groningen, 9747 AG The Netherlands
                Author information
                http://orcid.org/0000-0003-4605-0110
                http://orcid.org/0000-0002-6831-4255
                http://orcid.org/0000-0002-3704-8257
                http://orcid.org/0000-0002-2362-2940
                http://orcid.org/0000-0001-5139-444X
                http://orcid.org/0000-0003-2561-6090
                Article
                31729
                10.1038/s41467-022-31729-y
                9283498
                35835973
                95fe3192-c9fe-4628-a355-8fa5527fbf57
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 22 August 2021
                : 30 June 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100002412, Xi'an Jiaotong University (XJTU);
                Award ID: GG6J007
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                climate-change mitigation,climate-change policy
                Uncategorized
                climate-change mitigation, climate-change policy

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