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Open AccessArticle

Analysis of Segmented Sea level Time Series

Department of Mechanical Engineering, College of Engineering, Prince Mohammad Bin Fahd University, Al Khobar, Khobar, Dhahran 34754, Saudi Arabia
Appl. Sci. 2020, 10(2), 625; https://doi.org/10.3390/app10020625
Received: 19 November 2019 / Revised: 28 November 2019 / Accepted: 8 December 2019 / Published: 16 January 2020
(This article belongs to the Section Earth Sciences and Geography)
Records of measurements of sea levels from tide gauges are often “segmented”, i.e., obtained by composing segments originating from the same or different instruments, in the same or different locations, or suffering from other biases that prevent the coupling. A technique is proposed, based on data mining, the application of break-point alignment techniques, and similarity with other segmented and non-segmented records for the same water basin, to quality flag the segmented records. This prevents the inference of incorrect trends for the rate of rise and the acceleration of the sea levels for these segmented records. The technique is applied to the four long-term trend tide gauges of the Indian Ocean, Aden, Karachi, Mumbai, and Fremantle, with three of them segmented. View Full-Text
Keywords: statistic; data mining; similarity; sea levels; break-point alignment; Indian Ocean statistic; data mining; similarity; sea levels; break-point alignment; Indian Ocean
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MDPI and ACS Style

Boretti, A. Analysis of Segmented Sea level Time Series. Appl. Sci. 2020, 10, 625.

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