2018
DOI: 10.1175/jcli-d-17-0176.1
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Dynamical Properties of the North Atlantic Atmospheric Circulation in the Past 150 Years in CMIP5 Models and the 20CRv2c Reanalysis

Abstract: It is of fundamental importance to evaluate the ability of climate models to capture the large-scale atmospheric circulation patterns and, in the context of a rapidly increasing greenhouse forcing, the robustness of the changes simulated in these patterns over time. Here we approach this problem from an innovative point of view based on dynamical systems theory. We characterize the atmospheric circulation over the North Atlantic in the CMIP5 historical simulations (1851–2000) in terms of two instantaneous metr… Show more

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Cited by 40 publications
(44 citation statements)
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“…Over a full year there are therefore two positive and two negative peaks in autocorrelation, with the second positive peak typically displaying a larger magnitude than the first. This is consistent with previous analyses which have identified a strong seasonal dependence in d Rodrigues et al, 2017). The presence of a semi-annual cycle leads us to interpret the ACF as being modulated by the four seasons, with the first positive peak corresponding to cross-season correlation and the second, larger, peak corresponding to correlation between the same seasons in successive years.…”
Section: Datasupporting
confidence: 91%
“…Over a full year there are therefore two positive and two negative peaks in autocorrelation, with the second positive peak typically displaying a larger magnitude than the first. This is consistent with previous analyses which have identified a strong seasonal dependence in d Rodrigues et al, 2017). The presence of a semi-annual cycle leads us to interpret the ACF as being modulated by the four seasons, with the first positive peak corresponding to cross-season correlation and the second, larger, peak corresponding to correlation between the same seasons in successive years.…”
Section: Datasupporting
confidence: 91%
“…Second, we computed the local dimension of the observed Z500 sequence in CMIP5 RCP4.5 and RCP8.5 simulations. This assumes that the observed state belongs to the climate variability described by climate models, which is validated by the fact that the distribution of analog distances for each model is similar to the NCEP reanalysis distances (Rodrigues et al 2018). The local dimension informs on the number of degrees of freedom of trajectories around a given state and hence on its predictability (Faranda et al 2017).…”
Section: Changes In Atmospheric Circula-tionmentioning
confidence: 97%
“…atmospheric rivers driving storm surges and river flooding); iv) spatio-temporal shifts in the distribution of multi-hazards and v) the application of multivariate extreme value statistics (e.g. and dynamical systems theory (De Luca et al, 2019b;Faranda et al, 2017bFaranda et al, , 2017aHochman et al, 2019;Lucarini et al, 2016Lucarini et al, , 2012Messori et al, 2017;Rodrigues et al, 2018) to climate projections (Faranda et al, 2019). Such research efforts could also focus on different spatial scales, from cities, to countries, continents and global areas.…”
Section: Concluding Remarks About Multi-hazardsmentioning
confidence: 99%