2018
DOI: 10.1007/s00382-018-4093-7
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On the spectral characteristics of the Atlantic multidecadal variability in an ensemble of multi-century simulations

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Cited by 3 publications
(3 citation statements)
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“…We also examine the power spectral density of simulated AMV time series (Figure 4; see Mavilia et al., 2018 for uncertainties related to non‐stationary behavior and the AMV spectrum). With global radiative forcing, AMV in both the XAER and XGHG ensembles demonstrates substantial increases in power spectral density over multidecadal periods, beyond what internal variability alone can generate.…”
Section: Resultsmentioning
confidence: 99%
“…We also examine the power spectral density of simulated AMV time series (Figure 4; see Mavilia et al., 2018 for uncertainties related to non‐stationary behavior and the AMV spectrum). With global radiative forcing, AMV in both the XAER and XGHG ensembles demonstrates substantial increases in power spectral density over multidecadal periods, beyond what internal variability alone can generate.…”
Section: Resultsmentioning
confidence: 99%
“…Mavilia et al. (2018) analyzed the AMV stationarity in an ensemble of CMIP5 pre‐industrial simulations, highlighting the alternation of epochs with significantly different regimes of North Atlantic SST low‐frequency variability.…”
Section: Introductionmentioning
confidence: 99%
“…(2009) found inter-centennial modulations of the ENSO signal in a 2,000-year control simulation of the pre-industrial climate. Mavilia et al (2018) analyzed the AMV stationarity in an ensemble of CMIP5 pre-industrial simulations, highlighting the alternation of epochs with significantly different regimes of North Atlantic SST low-frequency variability.…”
mentioning
confidence: 99%