TY - GEN
T1 - Tide Height Estimation on Southern Coast of Java Island by Ensemble Kalman Filter
AU - Fajar, Shaffiani Nurul
AU - Apriliani, Erna
AU - Handoko, Eko Yuli
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - 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.
AB - 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.
KW - EnKF
KW - data assimiliation
KW - estimation
KW - height
KW - tide
UR - http://www.scopus.com/inward/record.url?scp=85085861288&partnerID=8YFLogxK
U2 - 10.1109/ICEEI47359.2019.8988858
DO - 10.1109/ICEEI47359.2019.8988858
M3 - Conference contribution
AN - SCOPUS:85085861288
T3 - Proceedings of the International Conference on Electrical Engineering and Informatics
SP - 354
EP - 359
BT - Proceeding of 2019 International Conference on Electrical Engineering and Informatics, ICEEI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Electrical Engineering and Informatics, ICEEI 2019
Y2 - 9 July 2019 through 10 July 2019
ER -