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
收藏
页码：3495 / 3507
页数：13
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