Gaussian linear state‐space model for wind fields in the North‐East Atlantic
Gaussian linear state‐space model for wind fields in the North‐East Atlantic
复制标题
东北大西洋风场的高斯线性状态空间模型
DOI：
10.1002/env.2299
复制
发表时间：
2013
期刊：
影响因子：
1.7
通讯作者：
V. Monbet
中科院分区：
文献类型：
--
作者：
Julie Bessac;P. Ailliot;V. Monbet
提出了一种多站点风速随机发生器。它旨在模拟真实的风况，重点是再现气象系统的时空运动。使用高斯线性状态空间模型，其中潜在状态可以被解释为区域风条件，并且观测方程将区域和局部尺度联系起来。参数估计通过结合矩量法和期望最大化算法来执行。该模型适用于东北大西洋的6小时再分析数据。结果表明，拟合模型是可解释的，并提供了一个很好的描述数据的时空协方差函数的重要属性，如在该地区的主流流引起的非完全对称性。版权所有© 2014约翰威利父子有限公司.
A multisite stochastic generator for wind speed is proposed. It aims at simulating realistic wind conditions with a focus on reproducing the space–time motions of the meteorological systems. A Gaussian linear state‐space model is used where the latent state may be interpreted as regional wind conditions and the observation equation links regional and local scales. Parameter estimation is performed by combining a method of moments and the expectation‐maximization algorithm. The model is fitted to 6‐hourly reanalysis data in the North‐East Atlantic. It is shown that the fitted model is interpretable and provides a good description of important properties of the space–time covariance function of the data, such as the non‐full symmetry induced by prevailing flows in this area. Copyright © 2014 John Wiley & Sons, Ltd.