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

被引：0

作者：

Benzi, R

Marrocu, M

Mazzino, A

Trovatore, E

机构：

[1] Univ Genoa, Dipartimento Fis, Ctr Meteo Idrol Reg Liguria, INFM, I-16146 Genoa, Italy

[2] CRS4, Cagliari, Italy

[3] Autorita Informat Pubbl Amministraz, Rome, Italy

[4] Ctr Meteo Idrol Reg Liguria, Genoa, Italy

来源：

JOURNAL OF THE ATMOSPHERIC SCIENCES | 1999年 / 56卷 / 20期

关键词：

D O I：

10.1175/1520-0469(1999)056<3495:COTLTA>2.0.CO;2

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

Methods to quantify predictability properties of atmospheric flows are proposed. The "extended self-similarity" technique, recently employed in turbulence data analysis, is used to characterize predictability properties at both short and long times. These methods are applied to the low-order atmospheric model of Lorenz. Also investigated is how initialization procedures that eliminate gravity waves from the model dynamics influence predictability properties.

引用

页码：3495 / 3507

页数：13

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