Attractor dimension of time-averaged climate observables: insights from a low-order ocean-atmosphere model
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Authors
Davide, Faranda
Messori, Gabriele
Vannitsem, Stéphane
Discipline
Earth and related Environmental sciences
Audience
Scientific
Date
2019-01Publisher
INTERNATIONAL METEOROLOGICAL INSTITUTE IN STOCKHOLM
Metadata
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The ocean and atmosphere have very different characteristic timescales and display a rich range of
interactions. Here, we investigate the sensitivity of the dynamical properties of the coupled atmosphere-ocean
system when time-averaging of the trajectories of the original system is performed. We base our analysis on a
conceptual model of the atmosphere-ocean dynamics which allows us to compute the attractor properties for
different coupling coefficients and averaging periods. When the averaging period is increased, the attractor
dimension initially shows a non-monotonic behaviour, but ultimately decreases for windows longer than
1 year. The analysis of daily, monthly and annual instrumental and reconstructed indices of oceanic and
atmospheric circulation supports our results. This has important implications for the analysis and
interpretation of long climate timeseries with a low temporal resolution, but also for the possible convergence
of climate observables subjected to long time-averages towards attractors close to hyperbolicity.
Citation
Davide, Faranda; Messori, Gabriele; Vannitsem, Stéphane (2019-01). Attractor dimension of time-averaged climate observables: insights from a low-order ocean-atmosphere model. , Tellus, Vol. 71, 1554413, INTERNATIONAL METEOROLOGICAL INSTITUTE IN STOCKHOLM, DOI: https://doi.org/10.1080/16000870.2018.1554413.Identifiers
Type
Article
Peer-Review
Yes
Language
eng