2014
DOI: 10.1088/1748-9326/9/3/034016
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Internal variability of Earth’s energy budget simulated by CMIP5 climate models

Abstract: We analyse a large number of multi-century pre-industrial control simulations from the fifth phase of the Coupled Model Intercomparison Project (CMIP5) to investigate relationships between: net top-of-atmosphere radiation (TOA), globally averaged surface temperature (GST), and globally integrated ocean heat content (OHC) on decadal timescales. Consistent with previous studies, we find that large trends (∼0.3 K dec −1 ) in GST can arise from internal climate variability and that these trends are generally an un… Show more

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Cited by 111 publications
(108 citation statements)
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References 27 publications
(27 reference statements)
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“…This is similar to the findings of Palmer and McNeall (2014). However, Hist shows a positive but low correlation between TOA and surface temperature, indicating that solar variations and volcanic eruptions (and possibly aerosol emissions) influence this model experiment.…”
Section: Likelihood Of Hiatus Periodssupporting
confidence: 87%
“…This is similar to the findings of Palmer and McNeall (2014). However, Hist shows a positive but low correlation between TOA and surface temperature, indicating that solar variations and volcanic eruptions (and possibly aerosol emissions) influence this model experiment.…”
Section: Likelihood Of Hiatus Periodssupporting
confidence: 87%
“…Ocean heat content changes are directly related to top of the atmosphere net radiation fluxes [51]. Allan et al [52] used atmospheric reanalysis and twentieth century simulations to extend the CERES satellite radiation observations of the Earth's global energy balance (anchored to the estimates of ocean energy uptake; Loeb et al [53]) back to the 1980s.…”
Section: Sea Level Contributions Steric Sea Level Changementioning
confidence: 99%
“…Analysis of climate model simulations has shown substantial vertical re-arrangement of ocean heat and highlighted Carton and Giese (2008) 19. UR025.4 (1989UR025.4 ( -2010 University of Reading 1°/4° NEMO3.2 OI (SLA/T/S/SST) Haines et al (2012) the global ocean's dominant role in Earth's energy budget on annual-to-decadal timescales (Palmer et al 2011;Palmer and McNeall 2014). Through combining the available ocean observations with OGCMs, ORAs may offer new insights into the processes of vertical heat re-arrangement and have also be used to derive estimates of Earth's energy imbalance (Loeb et al 2012;Trenberth et al 2014;Smith et al 2015).…”
Section: Introductionmentioning
confidence: 99%