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A SYSTEM FOR STATISTICAL STORM SURGE PREDICTION

机译:统计风暴潮预报系统

摘要

This system utilizes satellite (12, 72, 66) observations of wind stress forcing and sea level variations and through use of an algorithm (figs. 2-5) generates relationship between long time period climatologies of both sea level and wind stress. The algorithm provides a solution to the problem of generating a linear transfer response function to an under-sampled process and allows wind stress distant in space and lagged in time to affect the sea level variations at all points. The resulting stastistical model allows direct prediction of the storm surge at the climatological observation points given a prediction of only the wind stress field. The sea surface height (SSH) response to each wind mode is determined. For a prediction of storm surge, the predicted wind is decomposed into the previously derived extended empirical orthogonal function modes is summed to generate the total response.
机译:该系统利用卫星(12、72、66)观测到的风应力强迫和海平面变化,并通过使用算法(图2-5)在海平面和风应力的长期气候之间产生关系。该算法为生成对欠采样过程的线性传递响应函数的问题提供了一种解决方案,并允许风应力在空间中遥远且时滞,从而影响所有点的海平面变化。如果仅预测风应力场,则生成的统计模型可以直接预测气候观测点处的风暴潮。确定对每种风模式的海面高度(SSH)响应。对于风暴潮的预测,将预测的风分解为先前导出的扩展经验正交函数模式之和,以生成总响应。

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