The global mean sea level rise predicted by its causative budget components during 2018 – 2050

This study establishes a predictive empirical model, the first of its kind, which is innately a cause-and-effect representation of the observed global mean sea level over time. The model uses the trends of its observed budget components, including the temporal variations in mass of glaciers, Greenla...

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Published in:All Earth
Main Author: H. Bâki Iz
Format: Article in Journal/Newspaper
Language:English
Published: Taylor & Francis Group 2022
Subjects:
Online Access:https://doi.org/10.1080/27669645.2022.2109299
https://doaj.org/article/f94a7a6f19ca4672b95df24111f27764
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spelling ftdoajarticles:oai:doaj.org/article:f94a7a6f19ca4672b95df24111f27764 2023-05-15T13:32:31+02:00 The global mean sea level rise predicted by its causative budget components during 2018 – 2050 H. Bâki Iz 2022-12-01T00:00:00Z https://doi.org/10.1080/27669645.2022.2109299 https://doaj.org/article/f94a7a6f19ca4672b95df24111f27764 EN eng Taylor & Francis Group https://www.tandfonline.com/doi/10.1080/27669645.2022.2109299 https://doaj.org/toc/2766-9645 doi:10.1080/27669645.2022.2109299 2766-9645 https://doaj.org/article/f94a7a6f19ca4672b95df24111f27764 All Earth, Vol 34, Iss 1, Pp 215-223 (2022) Climate change global mean sea level budget luni-solar forcing prediction of global mean sea level rise Geology QE1-996.5 Physical geography GB3-5030 article 2022 ftdoajarticles https://doi.org/10.1080/27669645.2022.2109299 2022-12-30T21:08:49Z This study establishes a predictive empirical model, the first of its kind, which is innately a cause-and-effect representation of the observed global mean sea level over time. The model uses the trends of its observed budget components, including the temporal variations in mass of glaciers, Greenland, Antarctic ice sheets, terrestrial water storage, steric effect, and astronomical forcings of luni-solar origin, as independent variables in representing global mean sea level anomalies, namely, the dependent variable. The model parameters are estimated using monthly globally averaged satellite altimetry measurements and the yearly rates of the budget components during 1993–2018 as a priori information. Prospective monthly global mean sea level anomalies are then quantified and tabulated together with their root mean square error of prediction at 5% significance level for the period 2018–2050. Article in Journal/Newspaper Antarc* Antarctic Greenland Directory of Open Access Journals: DOAJ Articles Antarctic Greenland All Earth 34 1 215 223
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Climate change
global mean sea level budget
luni-solar forcing
prediction of global mean sea level rise
Geology
QE1-996.5
Physical geography
GB3-5030
spellingShingle Climate change
global mean sea level budget
luni-solar forcing
prediction of global mean sea level rise
Geology
QE1-996.5
Physical geography
GB3-5030
H. Bâki Iz
The global mean sea level rise predicted by its causative budget components during 2018 – 2050
topic_facet Climate change
global mean sea level budget
luni-solar forcing
prediction of global mean sea level rise
Geology
QE1-996.5
Physical geography
GB3-5030
description This study establishes a predictive empirical model, the first of its kind, which is innately a cause-and-effect representation of the observed global mean sea level over time. The model uses the trends of its observed budget components, including the temporal variations in mass of glaciers, Greenland, Antarctic ice sheets, terrestrial water storage, steric effect, and astronomical forcings of luni-solar origin, as independent variables in representing global mean sea level anomalies, namely, the dependent variable. The model parameters are estimated using monthly globally averaged satellite altimetry measurements and the yearly rates of the budget components during 1993–2018 as a priori information. Prospective monthly global mean sea level anomalies are then quantified and tabulated together with their root mean square error of prediction at 5% significance level for the period 2018–2050.
format Article in Journal/Newspaper
author H. Bâki Iz
author_facet H. Bâki Iz
author_sort H. Bâki Iz
title The global mean sea level rise predicted by its causative budget components during 2018 – 2050
title_short The global mean sea level rise predicted by its causative budget components during 2018 – 2050
title_full The global mean sea level rise predicted by its causative budget components during 2018 – 2050
title_fullStr The global mean sea level rise predicted by its causative budget components during 2018 – 2050
title_full_unstemmed The global mean sea level rise predicted by its causative budget components during 2018 – 2050
title_sort global mean sea level rise predicted by its causative budget components during 2018 – 2050
publisher Taylor & Francis Group
publishDate 2022
url https://doi.org/10.1080/27669645.2022.2109299
https://doaj.org/article/f94a7a6f19ca4672b95df24111f27764
geographic Antarctic
Greenland
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Greenland
genre Antarc*
Antarctic
Greenland
genre_facet Antarc*
Antarctic
Greenland
op_source All Earth, Vol 34, Iss 1, Pp 215-223 (2022)
op_relation https://www.tandfonline.com/doi/10.1080/27669645.2022.2109299
https://doaj.org/toc/2766-9645
doi:10.1080/27669645.2022.2109299
2766-9645
https://doaj.org/article/f94a7a6f19ca4672b95df24111f27764
op_doi https://doi.org/10.1080/27669645.2022.2109299
container_title All Earth
container_volume 34
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container_start_page 215
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