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

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 int...

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Main Author: Iz H. Bâki
Format: Article
Language:English
Published: De Gruyter 2018-12-01
Series:Journal of Geodetic Science
Subjects:
Online Access:https://doi.org/10.1515/jogs-2018-0012
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author Iz H. Bâki
author_facet Iz H. Bâki
author_sort Iz H. Bâki
collection DOAJ
description 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.
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spelling doaj.art-efb8bf47612647039e2894b03a446e0c2022-12-22T02:21:09ZengDe GruyterJournal of Geodetic Science2081-99432018-12-018112112910.1515/jogs-2018-0012jogs-2018-0012Why and how to predict sea level changes at a tide gauge station with prediction intervalsIz H. Bâki0Division of Geodetic Science, School of Earth Sciences, The Ohio State University, Columbus,Ohio, U.S.A.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.https://doi.org/10.1515/jogs-2018-0012predictionprediction intervalsbest linear unbiased predictionconfidence intervalsprojectiontide gaugesclimate changerisk assessment
spellingShingle Iz H. Bâki
Why and how to predict sea level changes at a tide gauge station with prediction intervals
Journal of Geodetic Science
prediction
prediction intervals
best linear unbiased prediction
confidence intervals
projection
tide gauges
climate change
risk assessment
title Why and how to predict sea level changes at a tide gauge station with prediction intervals
title_full Why and how to predict sea level changes at a tide gauge station with prediction intervals
title_fullStr Why and how to predict sea level changes at a tide gauge station with prediction intervals
title_full_unstemmed Why and how to predict sea level changes at a tide gauge station with prediction intervals
title_short Why and how to predict sea level changes at a tide gauge station with prediction intervals
title_sort why and how to predict sea level changes at a tide gauge station with prediction intervals
topic prediction
prediction intervals
best linear unbiased prediction
confidence intervals
projection
tide gauges
climate change
risk assessment
url https://doi.org/10.1515/jogs-2018-0012
work_keys_str_mv AT izhbaki whyandhowtopredictsealevelchangesatatidegaugestationwithpredictionintervals