Future Climate Change Under SSP Emission Scenarios With GISS‐E2.1
Open accessAbstract
This paper presents the response to anthropogenic forcing in the GISS‐E2.1 climate models for the 21st century Shared Socioeconomic Pathways emission scenarios within the Coupled Model Intercomparison Project Phase 6 (CMIP6). The experiments were performed using an updated and improved version of the NASA Goddard Institute for Space Studies (GISS) coupled general circulation model that includes two different versions for atmospheric composition: A non‐interactive version (NINT) with prescribed composition and a tuned aerosol indirect effect and the One‐Moment Aerosol model (OMA) version with fully interactive aerosols which includes a parameterized first indirect aerosol effect on clouds. The effective climate sensitivities are 3.0°C and 2.9°C for the NINT and OMA models, respectively. Each atmospheric version is coupled to two different ocean general circulation models: The GISS ocean model (E2.1‐G) and HYCOM (E2.1‐H). We describe the global mean responses for all future scenarios and spatial patterns of change for surface air temperature and precipitation for four of the marker scenarios: SSP1‐2.6, SSP2‐4.5, SSP4‐6.0, and SSP5‐8.5. By 2100, global mean warming ranges from 1.5°C to 5.2°C relative to 1,850–1,880 mean temperature. Two high‐mitigation scenarios SSP1‐1.9 and SSP1‐2.6 limit the surface warming to below 2°C by the end of the 21st century, except for the NINT E2.1‐H model that simulates 2.2°C of surface warming. For the high emission scenario SSP5‐8.5, the range is 4.6–5.2°C at 2100. Due to about 15% larger effective climate sensitivity and stronger transient climate response in both NINT and OMA CMIP6 models compared to CMIP5 versions, there is a stronger warming by 2100 in the SSP emission scenarios than in the comparable Representative Concentration Pathway (RCP) scenarios in CMIP5. Changes in sea ice area are highly correlated to global mean surface air temperature anomalies and show steep declines in both hemispheres, with the largest sea ice area decreases occurring during September in the Northern Hemisphere in both E2.1‐G (−1.21 × 10 6 km 2/°C) and E2.1‐H models (−0.94 × 10 6 km 2/°C). Both coupled models project decreases in the Atlantic overturning stream function by 2100. The largest decrease of 56%–65% in the 21st century overturning stream function is produced in the warmest scenario SSP5‐8.5 in the E2.1‐G model, comparable to the reduction in the corresponding CMIP5 GISS‐E2 RCP8.5 simulation. Both low‐end scenarios SSP1‐1.9 and SSP1‐2.6 also simulate substantial reductions of the overturning (9%–37%) with slow recovery of about 10% by the end of the 21st century (relative to the maximum decrease at the middle of the 21st century).
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
SSP2-4.5 represents a moderate mitigation and policy pathway, in which partial greenhouse gas reductions are achieved, leading to some reductions in CO2, CH4, and co-emitted air pollutants, and consequently modest improvements in air quality relative to higher-emission futures.
“SSP2-4.5 represents a moderate mitigation and policy pathway, in which partial greenhouse gase reductions are achieved, leading to some reductions in CO2, CH4, and co-emitted air pollutants, and consequently modest improvements in air quality relative to higher-emission futures (Hussain, 2025; Nazarenko et al., 2022; Shim et al., 2021).”
From Air quality impacts of stratospheric aerosol injections are likely small and mainly driven by changes in climate, not aerosol settling (2026) · cites this paper as Nazarenko et al., 2022
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredA reduction in surface pollutants is generally expected in future scenarios independently of SAI implementation.
“we generally expect a reduction in surface pollutants in future scenarios independently of SAI implementation (Fricko et al., 2017; Hussain, 2025; Nazarenko et al., 2022)”
From Air quality impacts of stratospheric aerosol injections are likely small and mainly driven by changes in climate, not aerosol settling (2026) · cites this paper as Nazarenko et al., 2022
Section 3 (page unavailable) reports reduced aerosol emissions in two low-emission SSP scenarios and weaker negative aerosol forcing in most scenarios, consistent with a reduction in some pollution-related emissions without SAI. It does not establish a general reduction in surface pollutant concentrations, and it does not compare scenarios with and without SAI. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6
O'Neill, B. C., Tebaldi, C., van Vuuren, D. P., Eyring, V., Friedlingstein, P., Hurtt, G., Knutti, R., Kriegler, E., Lamarque, J.-F., Lowe, J., et al. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-3461-2016 · Cited by 5,241 · see citing works
The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500
Meinshausen, M., Nicholls, Z. R. J., Lewis, J., Gidden, M. J., Vogel, E., Freund, M., Beyerle, U., Gessner, C., Nauels, A., Bauer, N., et al. (2020) · Geoscientific Model Development · doi:10.5194/gmd-13-3571-2020 · Cited by 1,815 · cited 5× · see citing works
“It is attributable to the interplay of both higher ERFs by 2100 and higher climate sensitivities of the CMIP6 models (Meehl et al., 2020; Meinshausen et al., 2020; Nicholls et al., 2020; Seferian et al., 2020).”
InfluentialAn Assessment of Earth's Climate Sensitivity Using Multiple Lines of Evidence
Sherwood, S. C., Webb, M. J., Annan, J. D., Armour, K. C., Forster, P. M., Hargreaves, J. C., Hegerl, G., Klein, S. A., Marvel, K. D., Rohling, E. J., et al. (2020) · Reviews of Geophysics · doi:10.1029/2019rg000678 · Cited by 1,254 · see citing works
Self-citationImprovements in the GISTEMP uncertainty model
Lenssen, N. J. L., Schmidt, G. A., Hansen, J. E., Menne, M. J., Persin, A., Ruedy, R., & Zyss, D. (2019) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2018jd029522 · Cited by 962 · see citing works
Self-citationFossil-fueled development (SSP5): An energy and resource intensive scenario for the 21st century
Kriegler, E., Bauer, N., Popp, A., Humpenöder, F., Leimbach, M., Strefler, J., Baumstark, L., Bodirsky, B. L., Hilaire, J., Klein, D., et al. (2017) · Global Environmental Change · doi:10.1016/j.gloenvcha.2016.05.015 · Cited by 735 · see citing works
Flagged first, then by citations
Research works printed but not linked: 58
- Baldwin, M. P., & Dunkerton, T. J. (2001). Stratospheric harbingers of anomalous weather regimes. Science, 294(5542), 581-584. https://doi. org/10.1126/science.1063315 · DOI
- Bauer, S. E., Tsigaridis, K., Faluvegi, G., Kelley, M., Lo, K. K., Miller, R. L., et al. (2020). Historical (1850-2014) aerosol evolution and role on climate forcing using the GISS ModelE2.1 contribution to CMIP6. Journal of Advances in Modeling Earth Systems, 12(8), e2019MS001978. https://doi.org/10.1029/2019MS001978 · DOI
- Bleck, R. (2006). An oceanic general circulation model framed in hybrid isopycnic-cartesian coordinates. Ocean Modelling, 4(1), 55-88. https:// doi.org/10.1016/s1463-5003(01)00012-9 · DOI
- Brennan, M. K., Hakim, G. J., & Blanchard-Wrigglesworth, E. (2020). Arctic sea-ice variability during the instrumental era. Geophysical Research Letters, 47(7), e2019GL086843. https://doi.org/10.1029/2019GL086843 · DOI
- Calvin, K., Bond-Lamberty, B., Clarke, L., Edmonds, J., Eom, J., Hartin, C., et al. (2017). SSP4: A world of inequality. Global Environmental Change, 42, 284-296. https://doi.org/10.1016/j.gloenvcha.2016.06.010 · DOI
- Church, J. A., White, N. J., Konikow, L. F., Domingues, C. M., Cogley, J. G., Rignot, E., et al. (2011). Revisiting the Earth's sea-level and energy budgets from 1961 to 2008. Geophysical Research Letters, 38(18), L18601. https://doi.org/10.1029/2011GL048794 · DOI
- Clarke, L., Edmonds, J., Krey, V., Richels, R., Rose, S., & Tavoni, M. (2009). International climate policy architectures: Overview of the EMF 22 international scenarios. Energy Economics, 31, S64-S81. https://doi.org/10.1016/j.eneco.2009.10.013 · DOI · Paper page
- Fiedler, S., Stevens, B., Gidden, M., Smith, S. J., Riahi, K., & van Vuuren, D. (2019). First forcing estimates from the future CMIP6 scenarios of anthropogenic aerosol optical properties and an associated Twomey effect. Geoscientific Model Development, 12(3), 989-1007. https://doi. org/10.5194/gmd-12-989-2019 · DOI · Paper page
- Fujimori, S., Hasegawa, T., Masui, T., Takahashi, K., Silva Herran, D., Dai, H., et al. (2017). AIM implementation of shared socioeconomic pathways. Global Environmental Change, 42, 268-283. https://doi.org/10.1016/j.gloenvcha.2016.06.009 · DOI
- Gent, P. R., & McWilliams, J. C. (1990). Isopycnal mixing in ocean circulation models. Journal of Physical: Oceanography, 20(1), 150-155. https://doi.org/10.1175/1520-0485(1990)020<0150:imiocm>2.0.co;2 · DOI
- Gidden, M. J., Riahi, K., Smith, S. J., Fujimori, S., Luderer, G., Kriegler, E., et al. (2019). Global emissions pathways under different socio- economic scenarios for use in CMIP6: A dataset of harmonized emissions trajectories through the end of the century. Geoscientific Model Development, 12(4), 1443-1475. https://doi.org/10.5194/gmd-12-1443-2019 · DOI
- Hansen, J., Sato, M., Ruedy, R., Nazarenko, L., Schmidt, G. A., Bauer, M., et al. (2005). Efficacy of climate forcings. Journal of Geophysical Research, 110, D18104. https://doi.org/10.1029/2005JD005776 · DOI
- M., & Soden, B. J. (2006). Robust responses of the hydrological cycle to global warming. Journal of Climate, 19(21), 5686-5699. https:// doi.org/10.1175/JCLI3990. · DOI
- Hermans, T. H. J., Gregory, J. M., Palmer, M. D., Ringer, M. A., Katsman, C. A., & Slangen, A. B. A. (2021). Projecting global mean sea-level change using CMIP6 models. Geophysical Research Letters, 48(5), e2020GL092064. https://doi.org/10.1029/2020GL092064 · DOI
- Ito, G., Romanou, A., Kiang, N. Y., Faluvegi, G., Aleinov, I., Ruedy, R., et al. (2020). Global carbon cycle and climate feedbacks in the NASA GISS ModelE2.1. Journal of Advances in Modeling Earth Systems, 12(10). https://doi.org/10.1029/2019MS002030 · DOI
- Kelley, M., Schmidt, G. A., Nazarenko, L., Bauer, S. E., Ruedy, R., Russell, G. L., et al. (2020). GISS-E2.1: Configurations and climatology. Journal of Advances in Modeling Earth Systems, 12(8), e2019MS002025. https://doi.org/10.1029/2019MS002025 · DOI
- Kriegler, E., Weyant, J. P., Blanford, G. J., Krey, V., Clarke, L., Edmonds, J., et al. (2014). The role of technology for achieving climate policy objectives: Overview of the EMF27 study on global technology and climate policy strategies. Climatic Change, 123(3-4), 353-367. https:// doi.org/10.1007/s10584-013-0953-7 · DOI
- Large, W. G., McWilliams, J. C., & Doney, S. C. (1994). Oceanic vertical mixing: A review and a model with a nonlocal boundary layer param- eterization. Reviews of Geophysics, 32(4), 363-403. https://doi.org/10.1029/94rg01872 · DOI · Paper page
- Lund, M. T., Myhre, G., & Samset, B. H. (2019). Anthropogenic aerosol forcing under the shared Sicioeconomic pathways. Atmospheric Chem- istry and Physics, 19(22), 13827-13839. https://doi.org/10.5194/acp-19-13827-2019 · DOI
- Manabe, S., & Stouffer, R. J. (1994). Multiple-century response of a coupled ocean-atmosphere model to an increase of atmospheric carbon dioxide. Journal of Climate, 7(1), 5-23. https://doi.org/10.1175/1520-0442(1994)007<0005:mcroac>2.0.co;2 · DOI
- Manabe, S., & Stouffer, R. J. (1999). The role of thermohaline circulation in climate. Tellus A: Dynamic Meteorology and Oceanography, 51(1), 91-109. https://doi.org/10.1034/j.1600-0870.1999.t01-1-00008.x · DOI
- Meehl, G. A., Senior, C. A., Eyring, V., Flato, G., Lamarque, J.-F., Stouffer, R. J., et al. (2020). Context for interpreting equilibrium climate sensi- tivity and transient climate response from the CMIP6 Earth system models. Science Advances, 6, 26. https://doi.org/10.1126/sciadv.aba1981 · DOI · Paper page
- Meinshausen, M., Meinshuasen, N., Hare, W., Raper, S. C., Frieler, K., Knutti, R., et al. (2009). Greenhouse emission targets for limiting global warming to +2°C. Nature, 458(7242), 1158-1163. https://doi.org/10.1038/nature08017 · DOI · Paper page
- Meinshausen, M., Smith, S. J., Calvin, K., Daniel, J. S., Kainuma, M. L. T., Lamarque, J.-F., et al. (2011). The RCP greenhouse gas concentrations and their extensions from 1765 to 2300. Climatic Change, 109(1-2), 213-241. https://doi.org/10.1007/s10584-011-0156-z · DOI
- Menon, S., Koch, D., Beig, G., Sahu, S., Fasullo, J., & Orlikowski, D. (2010). Black carbon aerosols and the third polar ice cap. Atmospheric Chemistry and Physics, 10, 4559-4571. https://doi.org/10.5194/acp-10-4559-2010 · DOI
- Miller, R. L., Schmidt, G. A., Nazarenko, L., Bauer, S. E., Kelley, M., Ruedy, R., et al. (2021). CMIP6 historical simulations (1850-2014) with GISS-E2.1. Journal of Advances in Modeling Earth Systems, 13(1), e2019MS002034. https://doi.org/10.1029/2019MS002034 · DOI
- Miller, R. L., Schmidt, G. A., Nazarenko, L. S., Tausnev, N., Bauer, S. E., Del Genio, A. D., et al. (2014). CMIP5 historical simulations (1850- 2012) with GISS ModelE2. Journal of Advances in Modeling Earth Systems, 6, 441-477. https://doi.org/10.1002/2013MS000266 · DOI
- Miller, R. L., Schmidt, G. A., & Shindell, D. T. (2006). Forced annular variations in the 20th century Intergovernmental panel on climate change fourth assessment Report models. Journal of Geophysical Research, 111, D18101. https://doi.org/10.1029/2005JD006323 · DOI
- Nakicenovic, N., Alcamo, J., Davis, G., de Vries, B., Fenhann, J., Gaffin, S., et al (2000). Special Report on emissions scenarios (SRES). Cambridge University Press.
- Nazarenko, L., Schmidt, G. A., Miller, R. L., Tausnev, N., Kelley, M., Ruedy, R., et al. (2015). Future climate change under RCP emission scenar- ios with GISS ModelE2. Journal of Advances in Modeling Earth Systems, 7(1), 244-267. https://doi.org/10.1002/2014MS000403 · DOI
- Nicholls, Z. R. J., Meinshausen, M., Lewis, J., Gieseke, R., Dommenget, D., Dorheim, K., et al. (2020). Reduced complexity model intercompari- son project phase 1: Introduction and evaluation of global-mean temperature response. Geoscientific Model Development, 13(11), 5175-5190. https://doi.org/10.5194/gmd-13-5175-2020 · DOI
- Notz, D., & Community, SIMIP. (2020). Arctic sea ice in CMIP6. Geophysical Research Letters, 47(10), e2019GL086749. https://doi. org/10.1029/2019GL086749 · DOI
- O'Neill, B. C., Carter, T. R., Ebi, K., Harrison, P. A., Kemp-Benedict, E., Kok, K., et al. (2020). Achievements and needs for the climate change scenario framework. Nature Climate Change, 10(12), 1074-1084. https://doi.org/10.1038/s41558-020-00952-0 · DOI
- T.I.A.S. Partanen, A. I., Landry, J.-S., & Matthews, H. D. (2018). Climate and health implications of future aerosol emission scenarios. Environmental Research Letters, 13(2), 024028. https://doi.org/10.1088/1748-9326/aaa511 · DOI
- Popp, A., Calvin, K., Fujimori, S., Havlik, P., Humpenöder, F., Stehfest, E., et al. (2017). Land-use futures in the shared sicio-economic pathways. Global Environmental Change, 42, 331-345. https://doi.org/10.1016/j.gloenvcha.2016.10.002 · DOI · Paper page
- Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O'Neill, B., Fujimori, S., et al. (2017). The shared socio-economic pathways and their energy, land use and greenhouse gas emissions implications: An overview. Global Environmental Change, 42, 153-168. https://doi. org/10.1016/j.gloenvcha.2016.05.009 · DOI · Paper page
- Russell, G. L., Miller, J. R., & Rind, D. H. (1995). A coupled atmosphere-ocean model for transient climate change. Atmosphere-Ocean, 33(4), 683-730. https://doi.org/10.1080/07055900.1995.9649550 · DOI
- Rye, C. D., Marshall, J., Kelley, M., Russell, G., Nazarenko, L. S., Kostov, Y., et al. (2020). Antarctic glacial melt as a driver of recent Southern Ocean climate trends. Geophysical Research Letters, 47(11), e2019GL086892. https://doi.org/10.1029/2019GL086892 · DOI
- Schmidt, G. A., Bitz, C. M., Mikolajewicz, U., & Tremblay, L. B. (2004). Ice-ocean boundary conditions for coupled models. Ocean Modelling, 7(1-2), 59-74. https://doi.org/10.1016/s1463-5003(03)00030-1 · DOI
- Schmidt, G. A., Kelley, M., Nazarenko, L., Ruedy, R., Russell, G. L., Aleinov, I., et al. (2014). Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive. Journal of Advances in Modeling Earth Systems, 6(1), 141-184. https://doi.org/10.1002/2013MS000265 · DOI
- Séférian, R., Nabat, P., Michou, M., Saint-Martin, D., Voldoire, A., Colin, J., et al. (2020). Evaluation of CNRM Earth-system model, CNRM- ESM2-1: Role of Earth system processes in present-day and future climate. Journal of Advances in Modeling Earth Systems, 11(12), 4182- 4227. https://doi.org/10.1029/2019MS001791 · DOI
- Shindell, D. T., Pechony, O., Voulgarakis, A., Faluvegi, G., Nazarenko, L., Lamarque, J.-F., et al. (2013). Interactive ozone and methane chem- istry in GISS-E2 historical and future climate simulations. Atmospheric Chemistry and Physics, 13(5), 2653-2689. https://doi.org/10.5194/ acp-13-2653-2013 · DOI
- Shindell, D. T., & Schmidt, G. A. (2004). Southern Hemisphere climate response to ozone changes and greenhouse gas increases. Geophysical Research Letters, 31(18), L18209. https://doi.org/10.1029/2004GL020724 · DOI
- Smith, C. J., Kramer, R. J., Myhre, G., Forster, P. M., Soden, B. J., Andrews, T., et al. (2018). Understanding rapid adjustments to diverse forcing agents. Geophysical Research Letters, 45(21). https://doi.org/10.1029/2018gl079826 · DOI · Paper page
- Stevens, B., Giorgetta, M., Esch, M., Mauritsen, T., Crueger, T., Rast, S., et al (2013). Atmospheric component of the MPI-M Earth system model: ECHAM6. Journal of Advances in Modeling Earth Systems, 5(2), 146-172. https://doi.org/10.1002/jame.20015 · DOI
- Stroeve, J., & Notz, D. (2015). Insights on past and future sea-ice evolution from combining observations and models. Global and Planetary Change, 135, 119-132. https://doi.org/10.1016/j.gloplacha.2015.10.011 · DOI
- Sun, S., & Bleck, R. (2006). Multi-century simulations with the coupled GISS-HYCOM climate model: Control experiments. Climate Dynamics, 26(4), 407-428. https://doi.org/10.1007/s00382-005-0091-7 · DOI
- Tebaldi, C., Debeire, K., Eyring, V., Fischer, E., Fyfe, J., Friedlingstein, P., et al. (2021). Climate model projections from the scenario model intercomparison project (ScenarioMIP) of CMIP6. Earth System Dynamics, 12(1), 295-312. https://doi.org/10.5194/esd-12-295-2021 · DOI
- Thompson, D. W. J., & Wallace, J. M. (2000). Annular modes in the extratropical circulation. Part I: Month-to-month variability. Journal of Climate, 13(5), 1000-1016. https://doi.org/10.1175/1520-0442(2000)013<1000:amitec>2.0.co;2 · DOI
- Tokarska, K. B., Stolpe, M. B., Sippel, S., Fischer, E. M., Smith, C. J., Lehner, F., & Knutti, R. (2020). Past warming trend constrains future warming in CMIP6 models. Science Advances, 6(12). https://doi.org/10.1126/sciadv. · DOI
- aaz9549 · DOI
- Twomey, S. (1977). The influence of pollution on the shortwave albedo of clouds. Journal of the Atmospheric Sciences, 34(7), 1149-1152. https:// doi.org/10.1175/1520-0469(1977)034<1149:tiopot>2.0.co;2 · DOI
- van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard, K., et al. (2011). The representative concentration pathways: An overview. Climate Change, 109(1-2), 5-31. https://doi.org/10.1007/s10584-011-0148-z · DOI · Paper page
- van Vuuren, D. P., Stehfest, E., Gernaat, D., Doelman, J., van Den Berg, M., Harmsen, M., et al. (2017). Energy, land-use and greenhouse gas emissions trajectories under a green growth paradigm. Global Environmental Change, 42, 237-250. https://doi.org/10.1016/j. gloenvcha.2016.05.008 · DOI
- Weijer, W., Cheng, W., Garuba, O. A., Hu, A., & Nadiga, B. T. (2020). CMIP6 models predict significant 21st century decline of the Atlantic Meridional Overturning Circulation. Geophysical Research Letters, 47(12), e2019GL086075. https://doi.org/10.1029/2019GL086075 · DOI
- Zanna, L., Khatiwala, S., Gregory, J. M., Ison, J., & Heimbach, P. (2019). Global reconstruction of historical ocean heat storage and transport. Proceedings of the National Academy of Sciences of the United States of America, 116(4), 1126-1131. https://doi.org/10.1073/pnas.1808838115 · DOI · Paper page
- Zelinka, M. D., Myers, T. A., McCoy, D. T., Po-Chedley, S., Caldwell, P. M., Ceppi, P., et al. (2020). Causes of higher climate sensitivity in CMIP6 models. Geophysical Research Letters, 47(1), e2019GL085782. https://doi.org/10.1029/2019GL085782 · DOI
- Zhang, J., & Rothrock, D. (2000). Modeling Arctic sea ice with an efficient plastic solution. Journal of Geophysical Research, 105, 3325-3338. https://doi.org/10.1029/1999jc900320 · DOI
Cited by
Sorted by citations
Wang, C., Visioni, D., Chua, G., & Bednarz, E. M. (2026) · Atmospheric Chemistry and Physics · doi:10.5194/acp-26-1339-2026 · Cited by 3 · see citing works
- Authors
- Nazarenko, L. S., Tausnev, N., Russell, G. L., Rind, D., Miller, R. L., Schmidt, G. A., Bauer, S. E., Kelley, M., Ruedy, R., Ackerman, A. S., Aleinov, I., Bauer, M., Bleck, R., Canuto, V., Cesana, G., Cheng, Y., Clune, T. L., Cook, B. I., Cruz, C. A., Del Genio, A. D., Elsaesser, G. S., Faluvegi, G., Kiang, N. Y., Kim, D., Lacis, A. A., Leboissetier, A., LeGrande, A. N., Lo, K. K., Marshall, J., Matthews, E. E., McDermid, S., Mezuman, K., Murray, L. T., Oinas, V., Orbe, C., García‐Pando, C. P., Perlwitz, J. P., Puma, M. J., Romanou, A., Shindell, D. T., Sun, S., Tsigaridis, K., Tselioudis, G., Weng, E., Wu, J., & Yao, M.
- Affiliations
- Goddard Institute for Space Studies (US)
- National Oceanic and Atmospheric Administration (US)
- Goddard Space Flight Center (US)
- NASA Goddard Institute for Space Studies New York NY USA
- University of Washington (US)
- Massachusetts Institute of Technology (US)
- New York University (US)
- University of Rochester (US)
- Institució Catalana de Recerca i Estudis Avançats (ES)
- Duke University (US)
- Corresponding author
- Nazarenko, Larissa S.
- ORCID
- Nazarenko, Larissa S.
- Russell, Gary L.
- Rind, David
- Miller, Ron L.
- Schmidt, Gavin A.
- Bauer, Susanne E.
- Ruedy, Reto
- Ackerman, Andrew S.
- Aleinov, Igor
- Bleck, Rainer
- Canuto, Vittorio
- Cesana, Grégory
- Cheng, Ye
- Clune, Thomas L.
- Cook, Ben I.
- Del Genio, Anthony D.
- Elsaesser, Gregory S.
- Faluvegi, Greg
- Kiang, Nancy Y.
- Kim, Daehyun
- Lacis, Andrew A.
- Leboissetier, Anthony
- LeGrande, Allegra N.
- Marshall, John
- McDermid, Sonali
- Mezuman, Keren
- Murray, Lee T.
- Orbe, Clara
- García‐Pando, Carlos Pérez
- Perlwitz, Jan P.
- Puma, Michael J.
- Romanou, Anastasia
- Shindell, Drew T.
- Sun, Shan
- Tsigaridis, Kostas
- Tselioudis, George
- Weng, Ensheng
- Wu, Jingbo
- Venue
- Journal of Advances in Modeling Earth Systems
- Publisher
- American Geophysical Union (AGU)
- Published
- 2022-06-30
- Volume
- 14
- Issue
- 7
- ISSN
- 1942-2466 (ISSN-L)
- OpenAlex
- W4221134408
- Cited by
- 104
- References
- 5
- Citations by year
- 2026: 18 · 2025: 25 · 2024: 37 · 2023: 20 · 2022: 4
- FWCI
- 8.57
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Advances in Modeling Earth Systems (publishedVersion, cc-by-nc-nd)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-nd)
- NOAA Institutional Repository (submittedVersion, cc-by-nc-nd)
- CU Scholar (University of Colorado Boulder) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Seoul National University Open Repository (Seoul National University) (submittedVersion)
- UPCommons institutional repository (Universitat Politècnica de Catalunya) (submittedVersion, cc-by-nc-nd)
- Funders
- National Aeronautics and Space Administration (NNX12AD05A)
- Goddard Space Flight Center
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate Change and Geoengineering
- Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
- Keywords
- future climate change, Shared Socioeconomic Pathways, CMIP6, climate sensitivity, aerosol indirect effect, surface air temperature, precipitation change, sea ice decline, transient climate response, anthropogenic forcing, SSP5-8.5, SSP1-2.6, climate change projections
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review