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Optimization Approach to Space Weather Prediction

机译:空间天气预报的优化方法

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摘要

On the basis of assumption about a weakly turbulent state of the magnetospheric plasma the model of the nonlinear "black box" for prediction of its state is proposed. It is also assumed that a weakly turbulent state of the environment is caused by the influence of the solar wind velocity and southern component of the interplanetary magnetic field on the magnetospheric plasma. Such state of the plasma can be described by local Lyapunov exponents that characterize the sensitivity of the dynamics of magnetospheric plasma to perturbations of the magnetospheric field and are widely used for the analysis of observed data. The nonlinear discrete dynamic model of the state of the magnetospheric plasma, based on the decomposition of nonlinear perturbations of the magnetospheric field in a series by correlation functions, is proposed. This model allows to predict behaviour of the Dst-index (or a state of the space weather) on the time interval of about 100 hours under the conditions of the absence of anomalous disturbances in the solar wind.
机译:基于对磁层等离子体弱湍流状态的假设,提出了用于预测其状态的非线性“黑匣子”模型。还假设环境的弱湍流状态是由太阳风速和行星际磁场的南方分量对磁层等离子体的影响引起的。等离子体的这种状态可以用局部Lyapunov指数描述,该指数表征了磁层等离子体动力学对磁层场扰动的敏感性,并广泛用于分析观测数据。在利用相关函数分解一系列磁层磁场的非线性扰动的基础上,提出了磁层等离子体状态的非线性离散动力学模型。该模型允许在太阳风不存在异常干扰的情况下,在大约100小时的时间间隔上预测Dst指数的行为(或太空天气的状态)。

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