Comparison of CMIP6 historical climate simulations and future projected warming to an empirical model of global climate
<p>The sixth phase of the Coupled Model Intercomparison Project (CMIP6) is the latest modeling effort for general circulation models to simulate and project various aspects of climate change. Many of the general circulation models (GCMs) participating in CMIP6 provide archived output that can...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2021-05-01
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| Series: | Earth System Dynamics |
| Online Access: | https://esd.copernicus.org/articles/12/545/2021/esd-12-545-2021.pdf |
| _version_ | 1818961411757309952 |
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| author | L. A. McBride A. P. Hope T. P. Canty B. F. Bennett W. R. Tribett R. J. Salawitch R. J. Salawitch R. J. Salawitch |
| author_facet | L. A. McBride A. P. Hope T. P. Canty B. F. Bennett W. R. Tribett R. J. Salawitch R. J. Salawitch R. J. Salawitch |
| author_sort | L. A. McBride |
| collection | DOAJ |
| description | <p>The sixth phase of the Coupled Model Intercomparison Project (CMIP6) is the
latest modeling effort for general circulation models to simulate and
project various aspects of climate change. Many of the general circulation
models (GCMs) participating in CMIP6 provide archived output that can be
used to calculate effective climate sensitivity (ECS) and forecast future
temperature change based on emissions scenarios from several Shared
Socioeconomic Pathways (SSPs). Here we use our multiple linear regression
energy balance model, the Empirical Model of Global Climate (EM-GC), to
simulate and project changes in global mean surface temperature (GMST),
calculate ECS, and compare to results from the CMIP6 multi-model ensemble.
An important aspect of our study is a comprehensive analysis of uncertainties
due to radiative forcing of climate from tropospheric aerosols (AER RF) in
the EM-GC framework. We quantify the attributable anthropogenic warming rate
(AAWR) from the climate record using the EM-GC and use AAWR as a metric to
determine how well CMIP6 GCMs replicate human-driven global warming over the
last 40 years. The CMIP6 multi-model ensemble indicates a median value of
AAWR over 1975–2014 of 0.221 <span class="inline-formula"><sup>∘</sup></span>C per decade (range of 0.151 to
0.299 <span class="inline-formula"><sup>∘</sup></span>C per decade; all ranges given here are for 5th and
95th confidence intervals), which is notably faster warming than our
median estimate for AAWR of 0.157 <span class="inline-formula"><sup>∘</sup></span>C per decade (range of 0.120
to 0.195 <span class="inline-formula"><sup>∘</sup></span>C per decade) inferred from the analysis of the Hadley
Centre Climatic Research Unit version 5 data record for GMST. Estimates of
ECS found using the EM-GC assuming that climate feedback does not vary over time
(best estimate 2.33 <span class="inline-formula"><sup>∘</sup></span>C; range of 1.40 to 3.57 <span class="inline-formula"><sup>∘</sup></span>C) are
generally consistent with the range of ECS of 1.5 to 4.5 <span class="inline-formula"><sup>∘</sup></span>C given
by the IPCC's Fifth Assessment Report. The CMIP6 multi-model ensemble exhibits
considerably larger values of ECS (median 3.74 <span class="inline-formula"><sup>∘</sup></span>C; range of 2.19
to 5.65 <span class="inline-formula"><sup>∘</sup></span>C). Our best estimate of ECS increases to 3.08 <span class="inline-formula"><sup>∘</sup></span>C (range of 2.23 to 5.53 <span class="inline-formula"><sup>∘</sup></span>C) if we allow climate feedback to vary
over time. The dominant factor in the uncertainty for our empirical
determinations of AAWR and ECS is imprecise knowledge of AER RF for the
contemporary atmosphere, though the uncertainty due to time-dependent
climate feedback is also important for estimates of ECS. We calculate the
likelihood of achieving the Paris Agreement target (1.5 <span class="inline-formula"><sup>∘</sup></span>C) and
upper limit (2.0 <span class="inline-formula"><sup>∘</sup></span>C) of global warming relative to pre-industrial
for seven of the SSPs using both the EM-GC and the CMIP6 multi-model
ensemble. In our model framework, SSP1-2.6 has a 53 % probability of
limiting warming at or below the Paris target by the end of the century, and
SSP4-3.4 has a 64 % probability of achieving the Paris upper limit. These
estimates are based on the assumptions that climate feedback has been and
will remain constant over time since the prior temperature record can be fit
so well assuming constant climate feedback. In addition, we quantify the
sensitivity of future warming to the curbing of the current rapid growth of
atmospheric methane and show that major near-term limits on the future growth of
methane are especially important for achievement of the 1.5 <span class="inline-formula"><sup>∘</sup></span>C
goal of future warming.<span id="page546"/> We also quantify warming scenarios assuming climate
feedback will rise over time, a feature common among many CMIP6 GCMs; under
this assumption, it becomes more difficult to achieve any specific warming
target. Finally, we assess warming projections in terms of future
anthropogenic emissions of atmospheric carbon. In our model framework,
humans can emit only another <span class="inline-formula">150±79</span> Gt C after 2019 to have a 66 %
likelihood of limiting warming to 1.5 <span class="inline-formula"><sup>∘</sup></span>C and another <span class="inline-formula">400±104</span> Gt C to have the same probability of limiting warming to 2.0 <span class="inline-formula"><sup>∘</sup></span>C. Given the estimated emission of 11.7 Gt C per year for 2019 due to
combustion of fossil fuels and deforestation, our EM-GC simulations suggest
that the 1.5 <span class="inline-formula"><sup>∘</sup></span>C warming target of the Paris Agreement will not be
achieved unless carbon and methane emissions are severely curtailed in the
next 10 years.</p> |
| first_indexed | 2024-12-20T12:13:00Z |
| format | Article |
| id | doaj.art-f0a6fd764d2e4fe5965baf2712378e34 |
| institution | Directory Open Access Journal |
| issn | 2190-4979 2190-4987 |
| language | English |
| last_indexed | 2024-12-20T12:13:00Z |
| publishDate | 2021-05-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Dynamics |
| spelling | doaj.art-f0a6fd764d2e4fe5965baf2712378e342022-12-21T19:41:13ZengCopernicus PublicationsEarth System Dynamics2190-49792190-49872021-05-011254557910.5194/esd-12-545-2021Comparison of CMIP6 historical climate simulations and future projected warming to an empirical model of global climateL. A. McBride0A. P. Hope1T. P. Canty2B. F. Bennett3W. R. Tribett4R. J. Salawitch5R. J. Salawitch6R. J. Salawitch7Department of Chemistry and Biochemistry, University of Maryland College Park, College Park, 20740, USADepartment of Atmospheric and Oceanic Science, University of Maryland College Park, College Park, 20740, USADepartment of Atmospheric and Oceanic Science, University of Maryland College Park, College Park, 20740, USADepartment of Atmospheric and Oceanic Science, University of Maryland College Park, College Park, 20740, USADepartment of Atmospheric and Oceanic Science, University of Maryland College Park, College Park, 20740, USADepartment of Chemistry and Biochemistry, University of Maryland College Park, College Park, 20740, USADepartment of Atmospheric and Oceanic Science, University of Maryland College Park, College Park, 20740, USAEarth System Science Interdisciplinary Center, University of Maryland College Park, College Park, 20740, USA<p>The sixth phase of the Coupled Model Intercomparison Project (CMIP6) is the latest modeling effort for general circulation models to simulate and project various aspects of climate change. Many of the general circulation models (GCMs) participating in CMIP6 provide archived output that can be used to calculate effective climate sensitivity (ECS) and forecast future temperature change based on emissions scenarios from several Shared Socioeconomic Pathways (SSPs). Here we use our multiple linear regression energy balance model, the Empirical Model of Global Climate (EM-GC), to simulate and project changes in global mean surface temperature (GMST), calculate ECS, and compare to results from the CMIP6 multi-model ensemble. An important aspect of our study is a comprehensive analysis of uncertainties due to radiative forcing of climate from tropospheric aerosols (AER RF) in the EM-GC framework. We quantify the attributable anthropogenic warming rate (AAWR) from the climate record using the EM-GC and use AAWR as a metric to determine how well CMIP6 GCMs replicate human-driven global warming over the last 40 years. The CMIP6 multi-model ensemble indicates a median value of AAWR over 1975–2014 of 0.221 <span class="inline-formula"><sup>∘</sup></span>C per decade (range of 0.151 to 0.299 <span class="inline-formula"><sup>∘</sup></span>C per decade; all ranges given here are for 5th and 95th confidence intervals), which is notably faster warming than our median estimate for AAWR of 0.157 <span class="inline-formula"><sup>∘</sup></span>C per decade (range of 0.120 to 0.195 <span class="inline-formula"><sup>∘</sup></span>C per decade) inferred from the analysis of the Hadley Centre Climatic Research Unit version 5 data record for GMST. Estimates of ECS found using the EM-GC assuming that climate feedback does not vary over time (best estimate 2.33 <span class="inline-formula"><sup>∘</sup></span>C; range of 1.40 to 3.57 <span class="inline-formula"><sup>∘</sup></span>C) are generally consistent with the range of ECS of 1.5 to 4.5 <span class="inline-formula"><sup>∘</sup></span>C given by the IPCC's Fifth Assessment Report. The CMIP6 multi-model ensemble exhibits considerably larger values of ECS (median 3.74 <span class="inline-formula"><sup>∘</sup></span>C; range of 2.19 to 5.65 <span class="inline-formula"><sup>∘</sup></span>C). Our best estimate of ECS increases to 3.08 <span class="inline-formula"><sup>∘</sup></span>C (range of 2.23 to 5.53 <span class="inline-formula"><sup>∘</sup></span>C) if we allow climate feedback to vary over time. The dominant factor in the uncertainty for our empirical determinations of AAWR and ECS is imprecise knowledge of AER RF for the contemporary atmosphere, though the uncertainty due to time-dependent climate feedback is also important for estimates of ECS. We calculate the likelihood of achieving the Paris Agreement target (1.5 <span class="inline-formula"><sup>∘</sup></span>C) and upper limit (2.0 <span class="inline-formula"><sup>∘</sup></span>C) of global warming relative to pre-industrial for seven of the SSPs using both the EM-GC and the CMIP6 multi-model ensemble. In our model framework, SSP1-2.6 has a 53 % probability of limiting warming at or below the Paris target by the end of the century, and SSP4-3.4 has a 64 % probability of achieving the Paris upper limit. These estimates are based on the assumptions that climate feedback has been and will remain constant over time since the prior temperature record can be fit so well assuming constant climate feedback. In addition, we quantify the sensitivity of future warming to the curbing of the current rapid growth of atmospheric methane and show that major near-term limits on the future growth of methane are especially important for achievement of the 1.5 <span class="inline-formula"><sup>∘</sup></span>C goal of future warming.<span id="page546"/> We also quantify warming scenarios assuming climate feedback will rise over time, a feature common among many CMIP6 GCMs; under this assumption, it becomes more difficult to achieve any specific warming target. Finally, we assess warming projections in terms of future anthropogenic emissions of atmospheric carbon. In our model framework, humans can emit only another <span class="inline-formula">150±79</span> Gt C after 2019 to have a 66 % likelihood of limiting warming to 1.5 <span class="inline-formula"><sup>∘</sup></span>C and another <span class="inline-formula">400±104</span> Gt C to have the same probability of limiting warming to 2.0 <span class="inline-formula"><sup>∘</sup></span>C. Given the estimated emission of 11.7 Gt C per year for 2019 due to combustion of fossil fuels and deforestation, our EM-GC simulations suggest that the 1.5 <span class="inline-formula"><sup>∘</sup></span>C warming target of the Paris Agreement will not be achieved unless carbon and methane emissions are severely curtailed in the next 10 years.</p>https://esd.copernicus.org/articles/12/545/2021/esd-12-545-2021.pdf |
| spellingShingle | L. A. McBride A. P. Hope T. P. Canty B. F. Bennett W. R. Tribett R. J. Salawitch R. J. Salawitch R. J. Salawitch Comparison of CMIP6 historical climate simulations and future projected warming to an empirical model of global climate Earth System Dynamics |
| title | Comparison of CMIP6 historical climate simulations and future projected warming to an empirical model of global climate |
| title_full | Comparison of CMIP6 historical climate simulations and future projected warming to an empirical model of global climate |
| title_fullStr | Comparison of CMIP6 historical climate simulations and future projected warming to an empirical model of global climate |
| title_full_unstemmed | Comparison of CMIP6 historical climate simulations and future projected warming to an empirical model of global climate |
| title_short | Comparison of CMIP6 historical climate simulations and future projected warming to an empirical model of global climate |
| title_sort | comparison of cmip6 historical climate simulations and future projected warming to an empirical model of global climate |
| url | https://esd.copernicus.org/articles/12/545/2021/esd-12-545-2021.pdf |
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