Global emissions pathways under different socioeconomic scenarios for use in CMIP6: a dataset of harmonized emissions trajectories through the end of the century
暂无分享,去创建一个
K. Calvin | E. Stehfest | Jérôme Hilaire | G. Luderer | K. Riahi | Steven J. Smith | A. Popp | S. Frank | P. Havlík | Kiyoshi Takahashi | S. Fujimori | D. V. van Vuuren | E. Kriegler | David Klein | Oliver Fricko | T. Hasegawa | M. Harmsen | J. Doelman | M. Gidden | M. van den Berg | Leyang Feng | Johnathan C. Doelman | R. Hoesly | Jill Horing | K. Takahashi
[1] Steven J. Smith,et al. Gridded Emissions for CMIP6 , 2019 .
[2] B. Stevens,et al. First forcing estimates from the future CMIP6 scenarios of anthropogenic aerosol optical properties and an associated Twomey effect , 2019, Geoscientific Model Development.
[3] P. Kyle,et al. GCAM v5.1: representing the linkages between energy, water, land, climate, and economic systems , 2019, Geoscientific Model Development.
[4] K. Riahi,et al. First forcing estimates from the future CMIP6 scenarios of anthropogenic aerosol optical properties and an associated Twomey effect , 2018 .
[5] P. Kyle,et al. GCAM v5.1: Representing the linkages between energy, water, land, climate, and economic systems , 2018 .
[6] Meng Li,et al. Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions , 2018, Atmospheric Chemistry and Physics.
[7] Keywan Riahi,et al. A methodology and implementation of automated emissions harmonization for use in Integrated Assessment Models , 2018, Environ. Model. Softw..
[8] J. Lamarque,et al. Connecting regional aerosol emissions reductions to local and remote precipitation responses , 2018, Atmospheric Chemistry and Physics.
[9] Tomoko Hasegawa,et al. Scenarios towards limiting global mean temperature increase below 1.5 °C , 2018, Nature Climate Change.
[10] Johannes W. Kaiser,et al. Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750-2015) , 2017 .
[11] Meng Li,et al. Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS) , 2017 .
[12] Wolfgang Lutz,et al. The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100 , 2017, Global environmental change : human and policy dimensions.
[13] Jean Chateau,et al. Long-term economic growth projections in the Shared Socioeconomic Pathways , 2017 .
[14] P. Kyle,et al. The SSP4: A world of deepening inequality , 2017 .
[15] M. Strubegger,et al. The marker quantification of the Shared Socioeconomic Pathway 2: A middle-of-the-road scenario for the 21st century , 2017 .
[16] M. Kainuma,et al. SSP3: AIM implementation of Shared Socioeconomic Pathways , 2017 .
[17] B. O’Neill,et al. Global urbanization projections for the Shared Socioeconomic Pathways , 2017 .
[18] R. Kopp,et al. Ch. 4: Climate Models, Scenarios, and Projections. Climate Science Special Report: Fourth National Climate Assessment, Volume I , 2017 .
[19] K. Riahi,et al. The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century , 2017 .
[20] K. Calvin,et al. Future air pollution in the Shared Socio-economic Pathways , 2017 .
[21] M. Strubegger,et al. Shared Socio-Economic Pathways of the Energy Sector – Quantifying the Narratives , 2017 .
[22] J. Eom,et al. The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview , 2017 .
[23] C. Müller,et al. Energy, land-use and greenhouse gas emissions trajectories under a green growth paradigm , 2017 .
[24] K. Calvin,et al. Fossil-fueled development (SSP5): An energy and resource intensive scenario for the 21st century , 2017 .
[25] P. Kyle,et al. Land-use futures in the shared socio-economic pathways , 2017 .
[26] G. Myhre,et al. Radiative forcing of carbon dioxide, methane, and nitrous oxide: A significant revision of the methane radiative forcing , 2016 .
[27] M. Rocha,et al. The PRIMAP-hist national historical emissions time series , 2016 .
[28] Jens Borken-Kleefeld,et al. Global anthropogenic emissions of particulate matter including black carbon , 2016 .
[29] Brian C. O'Neill,et al. The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6 , 2016 .
[30] J. Lamarque,et al. AerChemMIP: quantifying the effects of chemistry and aerosols in CMIP6 , 2016 .
[31] G. Janssens‑Maenhout,et al. Forty years of improvements in European air quality: regional policy-industry interactions with global impacts , 2016 .
[32] Veronika Eyring,et al. Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization , 2015 .
[33] D. Fahey,et al. Future atmospheric abundances and climate forcings from scenarios of global and regional hydrofluorocarbon (HFC) emissions , 2015 .
[34] Brian C. O'Neill,et al. Sensitivity of regional climate to global temperature and forcing , 2015 .
[35] T. Berntsen,et al. Evaluating the climate and air quality impacts of short-lived pollutants , 2015 .
[36] Michael F. Wehner,et al. Ch. 2: Our Changing Climate. Climate Change Impacts in the United States: The Third National Climate Assessment , 2014 .
[37] Keywan Riahi,et al. A new scenario framework for climate change research: the concept of shared climate policy assumptions , 2014, Climatic Change.
[38] Keywan Riahi,et al. A new scenario framework for Climate Change Research: scenario matrix architecture , 2014, Climatic Change.
[39] M. Chin,et al. Radiative forcing in the ACCMIP historical and future climate simulations , 2013 .
[40] Keywan Riahi,et al. A new scenario framework for climate change research: the concept of shared socioeconomic pathways , 2013, Climatic Change.
[41] J. Lamarque,et al. The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP): overview and description of models, simulations and climate diagnostics , 2012 .
[42] Michael J. Prather,et al. Future methane, hydroxyl, and their uncertainties: key climate and emission parameters for future predictions , 2012 .
[43] Karl E. Taylor,et al. An overview of CMIP5 and the experiment design , 2012 .
[44] N. Nakicenovic,et al. RCP 8.5—A scenario of comparatively high greenhouse gas emissions , 2011 .
[45] K. Calvin,et al. The RCP greenhouse gas concentrations and their extensions from 1765 to 2300 , 2011 .
[46] A. Thomson,et al. The representative concentration pathways: an overview , 2011 .
[47] Joeri Rogelj,et al. Discrepancies in historical emissions point to a wider 2020 gap between 2 °C benchmarks and aggregated national mitigation pledges , 2011 .
[48] Toru Nozawa,et al. Future changes in tropospheric ozone under Representative Concentration Pathways (RCPs) , 2011 .
[49] T. Wigley,et al. Emulating coupled atmosphere-ocean and carbon cycle models with a simpler model, MAGICC6 - Part 1: Model description and calibration , 2011 .
[50] W. Landman. Climate change 2007: the physical science basis , 2010 .
[51] John F. B. Mitchell,et al. The next generation of scenarios for climate change research and assessment , 2010, Nature.
[52] P. Friedlingstein,et al. The indirect global warming potential and global temperature change potential due to methane oxidation , 2009 .
[53] P. Lucas,et al. Downscaling drivers of global environmental change Enabling use of global SRES scenarios at the national and grid levels , 2007 .
[54] Xiaoshi Xing,et al. Downscaling and geo-spatial gridding of socio-economic projections from the IPCC Special Report on Emissions Scenarios (SRES) , 2004 .
[55] Judith Gurney. BP Statistical Review of World Energy , 1985 .
[56] P. Ehrlich,et al. IMPACT OF POPULATION GROWTH , 1971, Science.