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The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500

Malte MeinshausenSchool of Earth Sciences, The University of Melbourne, Parkville, Victoria, AustraliaZebedee NichollsClimate & Energy College, The University of Melbourne, Parkville, Victoria, AustraliaJared LewisClimate & Energy College, The University of Melbourne, Parkville, Victoria, AustraliaMatthew GiddenClimate Analytics, Berlin, GermanyElisabeth VogelClimate & Energy College, The University of Melbourne, Parkville, Victoria, AustraliaMandy FreundCSIRO Agriculture and Food, Melbourne, Victoria, AustraliaUrs BeyerleInstitute for Atmospheric and Climate Science, Swiss Federal Institute of Technology, ETH Zurich, Zurich, SwitzerlandClaudia GessnerInstitute for Atmospheric and Climate Science, Swiss Federal Institute of Technology, ETH Zurich, Zurich, SwitzerlandAlexander NauelsClimate & Energy College, The University of Melbourne, Parkville, Victoria, AustraliaNico BauerPotsdam Institute for Climate Impact Research (PIK), Potsdam, GermanyJosep G. CanadellGlobal Carbon Project, CSIRO Oceans and Atmosphere, Canberra, ACT, AustraliaJ. S. DanielNOAA, Earth System Research Laboratory, Chemical Sciences Laboratory, Boulder, Colorado, USAAndrew JohnClimate & Energy College, The University of Melbourne, Parkville, Victoria, AustraliaPaul B. KrummelClimate Science Centre, CSIRO Oceans and Atmosphere, Aspendale, Victoria, AustraliaGunnar LudererPotsdam Institute for Climate Impact Research (PIK), Potsdam, GermanyNicolai MeinshausenSeminar for Statistics, Swiss Federal Institute of Technology, ETH Zurich, Zurich, SwitzerlandS. A. MontzkaP. J. RaynerClimate & Energy College, The University of Melbourne, Parkville, Victoria, AustraliaStefan ReimannEmpa, Laboratory for Air Pollution/Environmental Technology, Swiss Federal Laboratories for Materials Science and Technology, Dbendorf, SwitzerlandSteven J. SmithJoint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, USAMarten van den BergPBL Netherlands Environmental Assessment Agency, the NetherlandsGuus J. M. VeldersInstitute for Marine and Atmospheric Research Utrecht (IMAU), Utrecht University, Utrecht, the NetherlandsMartin K. VollmerEmpa, Laboratory for Air Pollution/Environmental Technology, Swiss Federal Laboratories for Materials Science and Technology, Dbendorf, SwitzerlandRay H. J. WangSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332-0340, USA
2020en
ABI

Аннотация

Abstract. Anthropogenic increases in atmospheric greenhouse gas concentrations are the main driver of current and future climate change. The integrated assessment community has quantified anthropogenic emissions for the shared socio-economic pathway (SSP) scenarios, each of which represents a different future socio-economic projection and political environment. Here, we provide the greenhouse gas concentrations for these SSP scenarios – using the reduced-complexity climate–carbon-cycle model MAGICC7.0. We extend historical, observationally based concentration data with SSP concentration projections from 2015 to 2500 for 43 greenhouse gases with monthly and latitudinal resolution. CO2 concentrations by 2100 range from 393 to 1135 ppm for the lowest (SSP1-1.9) and highest (SSP5-8.5) emission scenarios, respectively. We also provide the concentration extensions beyond 2100 based on assumptions regarding the trajectories of fossil fuels and land use change emissions, net negative emissions, and the fraction of non-CO2 emissions. By 2150, CO2 concentrations in the lowest emission scenario are approximately 350 ppm and approximately plateau at that level until 2500, whereas the highest fossil-fuel-driven scenario projects CO2 concentrations of 1737 ppm and reaches concentrations beyond 2000 ppm by 2250. We estimate that the share of CO2 in the total radiative forcing contribution of all considered 43 long-lived greenhouse gases increases from 66 % for the present day to roughly 68 % to 85 % by the time of maximum forcing in the 21st century. For this estimation, we updated simple radiative forcing parameterizations that reflect the Oslo Line-By-Line model results. In comparison to the representative concentration pathways (RCPs), the five main SSPs (SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) are more evenly spaced and extend to lower 2100 radiative forcing and temperatures. Performing two pairs of six-member historical ensembles with CESM1.2.2, we estimate the effect on surface air temperatures of applying latitudinally and seasonally resolved GHG concentrations. We find that the ensemble differences in the March–April–May (MAM) season provide a regional warming in higher northern latitudes of up to 0.4 K over the historical period, latitudinally averaged of about 0.1 K, which we estimate to be comparable to the upper bound (∼5 % level) of natural variability. In comparison to the comparatively straight line of the last 2000 years, the greenhouse gas concentrations since the onset of the industrial period and this studies' projections over the next 100 to 500 years unequivocally depict a “hockey-stick” upwards shape. The SSP concentration time series derived in this study provide a harmonized set of input assumptions for long-term climate science analysis; they also provide an indication of the wide set of futures that societal developments and policy implementations can lead to – ranging from multiple degrees of future warming on the one side to approximately 1.5 ∘C warming on the other.

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