Characterization of the long-time and short-time predictability of low-order models of the atmosphere

R. Benzi; M. Marrocu; A. Mazzino; E. Trovatore

doi:10.1175/1520-0469(1999)056<3495:cotlta>2.0.co;2

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arXiv · chao-dyn/9905009

Characterization of the long-time and short-time predictability of low-order models of the atmosphere

R. Benzi·M. Marrocu·A. Mazzino·E. Trovatore

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Abstract

Methods to quantify predictability properties of atmospheric flows are proposed. The ``Extended Self Similarity'' (ESS) technique, recently employed in turbulence data analysis, is used to characterize predictability properties at short and long times. We apply our methods to the low-order atmospheric model of Lorenz (1980). We also investigate how initialization procedures that eliminate gravity waves from the model dynamics influence predictability properties.

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R. Benzi, M. Marrocu, A. Mazzino, E. Trovatore. 1999-05-08. Characterization of the long-time and short-time predictability of low-order models of the atmosphere. https://doi.org/10.1175/1520-0469(1999)056%3C3495%3Acotlta%3E2.0.co%3B2

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