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Journal of Geodetic Science

Editor-in-Chief: Eshagh, Mehdi

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Why and how to predict sea level changes at a tide gauge station with prediction intervals

H. Bâki Iz
Published Online: 2018-12-31 | DOI: https://doi.org/10.1515/jogs-2018-0012


Predicting sea level rise is essential for current climate discussions. Empirical models put in use to monitor and analyze sea level variations observed at globally distributed tide gauge stations during the last decade can provide reliable predictions with high resolution. Meanwhile, prediction intervals, an alternative to confidence intervals, are to be recognized and deployed in sea level studies. Predictions together with their prediction intervals, as demonstrated in this study, can quantify the uncertainty of a single future observation from a population, instead of the uncertainty of a conceivable average sea level namely a confidence interval, and it is thereby, better suited for coastal risk assessment to guide policy development for mitigation and adaptation responses.

Keywords: Prediction; Prediction intervals; Best linear unbiased prediction; Confidence intervals; Projection; Tide gauges; Climate change; Risk assessment


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About the article

Received: 2018-03-03

Accepted: 2018-11-16

Published Online: 2018-12-31

Published in Print: 2018-12-01

Citation Information: Journal of Geodetic Science, Volume 8, Issue 1, Pages 121–129, ISSN (Online) 2081-9943, DOI: https://doi.org/10.1515/jogs-2018-0012.

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© by H. Bâki Iz, published by De Gruyter. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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