| Citation: | LI Kui, DENG Xiaolong, YANG Xixiang, et al. Modeling and prediction of stratospheric wind field based on proper orthogonal decomposition[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(9): 2013-2020. doi: 10.13700/j.bh.1001-5965.2017.0685(in Chinese)
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The stratospheric wind field has an important influence on the design and trajectory control of the near-space low dynamic aerostat. Focused on the modeling of the stratospheric wind field, this paper proposes a reduced order analysis method of the wind field data based on the proper orthogonal decomposition (POD) method. On this basis, a Fourier model which can predict the stratospheric wind field is proposed in this paper. This paper takes the wind field in Changsha from 2005 to 2009 as an example, uses the proposed POD method and Fourier prediction model to model and predict the wind field, and analyzes the accuracy of Fourier prediction model. The results show that the POD method can be used to model the east-west wind field efficiently and accurately. The Fourier prediction model can be used to predict the east-west wind field accurately and the prediction accuracy is closely related to the regularity of the actual wind field. The more compact the wind field data are, the more obvious the periodicity is, the higher the prediction accuracy is.
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