@inbook{2dbc892e783d4bd2a602cfd61876ca1b,
title = "Global-Scale Decadal Hyper Modes",
abstract = "This article discusses the idea of stochastic global-scale multi-decadal Hyper Modes. The chapter will first illustrate the spatial pattern and time-scales of the leading mode of global-scale multi-decadal climate variability in observations and model simulations. It is further shown that the main characteristic of the leading mode of global-scale multi-decadal variability can be simulated in the absence of any ocean dynamics and by atmospheric teleconnections only. In a simple stochastic model for the Hyper Modes, local (basin-wide) modes of variability act mostly on interannual time-scales forced by atmospheric white noise. Most of these modes have a weak link to the tropical regions via atmospheric teleconnections, which on longer (decadal) time-scales become more dominant. The tropical link provides a synchronization of the local modes to near global multi-decadal Hyper Modes. The persistence of higher latitudes SST variability with an exponentially decreasing mixing into the deeper oceans leads to a power spectrum with a low-frequency tail and different slope compared to a red noise power spectrum. The main elements of this stochastic model do not involve any ocean dynamics beyond local vertical mixing.",
author = "Dietmar Dommenget",
year = "2016",
doi = "10.1142/9789814579933_0011",
language = "English",
isbn = "9789814579926",
volume = "6",
series = "World Scientific Series on Asia-Pacific Weather and Climate",
publisher = "World Scientific Publishing",
pages = "171--181",
editor = "Chih-Pei Chang and Michael Ghil and Mojib Latif and Wallace, {John M}",
booktitle = "Climate Change",
address = "Singapore",
}