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Tide Height Estimation on Southern Coast of Java Island by Ensemble Kalman Filter

机译:Ensemble Kalman滤波估计爪哇岛南部海岸的潮汐高度

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Tide is important things to discuss, especially for maritime countries such as Indonesia. The main purpose of tide observations is to determine the tide height on coast. In this study, data assimilation method, Ensemble Kalman Filter (EnKF), is applied to tide estimation. The location of this study is on the southern coast of Java Island which is located between Cilacap's tide station and Pacitan's tide station. The value of tide height on another tide station can be obtained with determination specific grid. In the estimation process, measurement data is used in correction step. Based on the results of simulation, the average error between EnKF and the measurement data from tide stations is 2,4535 cm or about 0,2113% with 100 ensemble. Because the simulation results show small error value, the value of tide height at the other point of tide station can be obtained. Therefore, it can be obtained information that not the highest or lowest height of the wave that occurred at the beginning, the end and the middle of the month in Hijri calendar. But the large amplitude of wave that happened at that time. So with a large amplitude, high and low waves can be generated at once.
机译:潮流是讨论的重要事项,特别是印度尼西亚等海事国家。潮汐观测的主要目的是确定海岸的潮汐高度。在本研究中,数据同化方法集合卡尔曼滤波器(ENKF)应用于潮汐估计。本研究的位置位于爪哇岛的南部海岸,位于Cilacap的潮汐站和普利桑的潮汐车站之间。可以通过确定特定网格获得另一个潮汐站上的潮汐高度的值。在估计过程中,测量数据用于校正步骤。基于模拟结果,ENKF之间的平均误差和来自潮汐站的测量数据为2,4535厘米或约0.2113%,100个集合。因为仿真结果显示较小的误差值,所以可以获得潮汐站的另一点处的潮汐高度的值。因此,可以获得在HIJRI日历中的开始,结束和半月内发生的波的最高或最低高度的信息。但是当时发生的大幅度的波浪幅度。因此,具有大的振幅,可以立即产生高且低波。

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