Markov chain model for turbulent wind speed data

被引：91

作者：

Kantz, H

Holstein, D

Ragwitz, M

Vitanov, NK

机构：

[1] Max Planck Inst Phys Complex Syst, D-01187 Dresden, Germany

[2] Fraunhofer Inst Syst & Innovat Res, D-76139 Karlsruhe, Germany

[3] Bulgarian Acad Sci, Inst Mech, BU-1113 Sofia, Bulgaria

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2004年 / 342卷 / 1-2期

关键词：

time series analysis; Markov chains; turbulence;

D O I：

10.1016/j.physa.2004.01.070

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

A continuous state Markov chain of suitable order is employed to approximate the dynamics of surface wind speeds recorded at a single site. Using past observations, the model yields probabilistic forecasts of the future. We employ it for the prediction of turbulent gusts. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：315 / 321

页数：7

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