首页> 外文期刊>Continental Shelf Research: A Companion Journal to Deep-Sea Research and Progress in Oceanography >Characterization of error dynamics in a 3D coastal model of the Catalan sea using stochastic modelling
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Characterization of error dynamics in a 3D coastal model of the Catalan sea using stochastic modelling

机译:使用随机建模表征加泰罗尼亚海3D沿海模型中的误差动态

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摘要

The structure and dynamics of errors in a 3D coastal model of the Catalan sea is characterized through stochastic modelling. Wind forcing and large scale circulation are identified as the main sources of model errors. Ensemble simulations perturbing the wind field and the model initial and open boundary conditions are performed. The dispersion of model trajectories in the ensemble allows us to characterize the errors structure and dynamics. Model errors induced by errors in the wind forcing are linear but non-stationary, while those induced by errors in the description of the large scale circulation are non-linear but stationary. The ensemble results are also used to characterize the error covariance spatial patterns through the use of multivariate EOFs. The capability of this EOF decomposition to control the model evolution is investigated using a reduced order optimal interpolation (ROOI) data assimilation scheme. (C) 2009 Elsevier Ltd. All rights reserved.
机译:通过随机建模来表征加泰罗尼亚海3D沿海模型中误差的结构和动力学。强迫和大规模环流是模型误差的主要来源。进行风场和模型的初始和开放边界条件的集合模拟。模型轨迹在集合中的分散使我们能够表征误差结构和动力学。由风强迫误差引起的模型误差是线性的,但不是平稳的,而由大型循环描述中的误差引起的模型误差是非线性的,但是平稳的。集成结果还用于通过使用多元EOF来表征误差协方差空间模式。使用降阶最佳插值(ROOI)数据同化方案研究了EOF分解控制模型演化的能力。 (C)2009 Elsevier Ltd.保留所有权利。

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