2017
DOI: 10.1002/2017gl074016
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Pronounced differences between observed and CMIP5‐simulated multidecadal climate variability in the twentieth century

Abstract: Identification and dynamical attribution of multidecadal climate undulations to either variations in external forcings or to internal sources is one of the most important topics of modern climate science, especially in conjunction with the issue of human‐induced global warming. Here we utilize ensembles of twentieth century climate simulations to isolate the forced signal and residual internal variability in a network of observed and modeled climate indices. The observed internal variability so estimated exhib… Show more

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Cited by 56 publications
(58 citation statements)
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References 59 publications
(68 reference statements)
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“…The externally forced component of the simulated variability accounts for more than 60% of upwelling-favorable meridional windstress increase off Chile, while a negative IPO canonical internal variability pattern has no significant contribution to the meridional windstress positive trend over the same period. In the real world the IPO has a different spatial structure, amplitude and time behaviour to that in CMIP5-class models (Kravtsov, 2017). Analyses of observed decadal trends in SST, wind…”
Section: Discussionmentioning
confidence: 99%
“…The externally forced component of the simulated variability accounts for more than 60% of upwelling-favorable meridional windstress increase off Chile, while a negative IPO canonical internal variability pattern has no significant contribution to the meridional windstress positive trend over the same period. In the real world the IPO has a different spatial structure, amplitude and time behaviour to that in CMIP5-class models (Kravtsov, 2017). Analyses of observed decadal trends in SST, wind…”
Section: Discussionmentioning
confidence: 99%
“…This is highly relevant to both decadal predictability of future change and efforts to improve detection and attribution of climate trends that have occurred in the past. Recent studies have highlighted that a large proportion of contemporary climate models exhibit weak multidecadal twentieth century NA climate variability when compared to observations (Cheung et al, 2017;Han et al, 2016;Kravtsov, 2017;Wang et al, 2017;Zhang & Wang, 2013). Further, many models exhibit weaker-than-observed links between the North Atlantic Oscillation (NAO) and low-frequency phenomena such as Atlantic multidecadal variability (AMV; Ba et al, 2014;Keeley et al, 2012;Kim et al, 2018;Omrani et al, 2014;Peings et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…[16][17][18][19] Irrespective of exact methodology used to infer the internal component of the observed DCV, it appears that climate model simulations tend to underestimate its magnitude and fall short of faithfully replicating its spatial patterns. 15,16,18,[20][21][22][23] These deficiencies may have substantially contributed to climate models' apparent lack of skill in reproducing recent decadal slowdown, or "hiatus" in the near-surface global warming of the Earth, although multiple factors could be at play. [22][23][24][25][26][27] Similar decadal discrepancies between modelled and observed decadal climate trends are ubiquitous throughout the twentieth century.…”
Section: Introductionmentioning
confidence: 99%