Kinematics of global mean thermosteric sea level during 1993–2019
Abstract Because oceans cover 71% of Earth’s surface, ocean warming, consequential for thermal expansion of sea water, has been the largest contributor to the global mean sea level rise averaged over the 20 th and the early 21 st century. This study first generates quasi-observed monthly globally av...
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crdegruyter:10.1515/jogs-2020-0121 2023-05-15T14:07:35+02:00 Kinematics of global mean thermosteric sea level during 1993–2019 İz, H. Bâki 2021 http://dx.doi.org/10.1515/jogs-2020-0121 https://www.degruyter.com/document/doi/10.1515/jogs-2020-0121/xml https://www.degruyter.com/document/doi/10.1515/jogs-2020-0121/pdf en eng Walter de Gruyter GmbH http://creativecommons.org/licenses/by/4.0 CC-BY Journal of Geodetic Science volume 11, issue 1, page 75-82 ISSN 2081-9943 Applied Mathematics Earth and Planetary Sciences (miscellaneous) Computers in Earth Sciences Geophysics Astronomy and Astrophysics journal-article 2021 crdegruyter https://doi.org/10.1515/jogs-2020-0121 2022-04-14T05:08:26Z Abstract Because oceans cover 71% of Earth’s surface, ocean warming, consequential for thermal expansion of sea water, has been the largest contributor to the global mean sea level rise averaged over the 20 th and the early 21 st century. This study first generates quasi-observed monthly globally averaged thermosteric sea level time series by removing the contributions of global mean sea level budget components, namely, Glaciers, Greenland, Antarctica, and Terrestrial Water Storage from satellite altimetry measured global sea level changes during 1993–2019. A baseline kinematic model with global mean thermosteric sea level trend and a uniform acceleration is solved to evaluate the performance of a rigorous mixed kinematic model. The model also includes coefficients of monthly lagged 60 yearlong cumulative global mean sea surface temperature gradients and control variables of lunisolar origins and representations for first order autoregressive disturbances. The mixed kinematic model explains 94% ( Adjusted R 2 ) 1 of the total variability in quasi-observed monthly and globally averaged thermosteric time series compared to the 46% of the baseline kinematic model’s Adjusted R 2 . The estimated trend, 1.19±0.03 mm/yr., is attributed to the long-term ocean warming. Whereas eleven statistically significant (α = 0.05) monthly lagged cumulative global mean sea surface temperature gradients each having a memory of 60 years explain the remainder transient global mean thermosteric sea level changes due to the episodic ocean surface warming and cooling during this period. The series also exhibit signatures of a statistically significant contingent uniform global sea level acceleration and periodic lunisolar forcings. Article in Journal/Newspaper Antarc* Antarctica Greenland De Gruyter (via Crossref) Greenland Journal of Geodetic Science 11 1 75 82 |
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Open Polar |
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De Gruyter (via Crossref) |
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crdegruyter |
language |
English |
topic |
Applied Mathematics Earth and Planetary Sciences (miscellaneous) Computers in Earth Sciences Geophysics Astronomy and Astrophysics |
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Applied Mathematics Earth and Planetary Sciences (miscellaneous) Computers in Earth Sciences Geophysics Astronomy and Astrophysics İz, H. Bâki Kinematics of global mean thermosteric sea level during 1993–2019 |
topic_facet |
Applied Mathematics Earth and Planetary Sciences (miscellaneous) Computers in Earth Sciences Geophysics Astronomy and Astrophysics |
description |
Abstract Because oceans cover 71% of Earth’s surface, ocean warming, consequential for thermal expansion of sea water, has been the largest contributor to the global mean sea level rise averaged over the 20 th and the early 21 st century. This study first generates quasi-observed monthly globally averaged thermosteric sea level time series by removing the contributions of global mean sea level budget components, namely, Glaciers, Greenland, Antarctica, and Terrestrial Water Storage from satellite altimetry measured global sea level changes during 1993–2019. A baseline kinematic model with global mean thermosteric sea level trend and a uniform acceleration is solved to evaluate the performance of a rigorous mixed kinematic model. The model also includes coefficients of monthly lagged 60 yearlong cumulative global mean sea surface temperature gradients and control variables of lunisolar origins and representations for first order autoregressive disturbances. The mixed kinematic model explains 94% ( Adjusted R 2 ) 1 of the total variability in quasi-observed monthly and globally averaged thermosteric time series compared to the 46% of the baseline kinematic model’s Adjusted R 2 . The estimated trend, 1.19±0.03 mm/yr., is attributed to the long-term ocean warming. Whereas eleven statistically significant (α = 0.05) monthly lagged cumulative global mean sea surface temperature gradients each having a memory of 60 years explain the remainder transient global mean thermosteric sea level changes due to the episodic ocean surface warming and cooling during this period. The series also exhibit signatures of a statistically significant contingent uniform global sea level acceleration and periodic lunisolar forcings. |
format |
Article in Journal/Newspaper |
author |
İz, H. Bâki |
author_facet |
İz, H. Bâki |
author_sort |
İz, H. Bâki |
title |
Kinematics of global mean thermosteric sea level during 1993–2019 |
title_short |
Kinematics of global mean thermosteric sea level during 1993–2019 |
title_full |
Kinematics of global mean thermosteric sea level during 1993–2019 |
title_fullStr |
Kinematics of global mean thermosteric sea level during 1993–2019 |
title_full_unstemmed |
Kinematics of global mean thermosteric sea level during 1993–2019 |
title_sort |
kinematics of global mean thermosteric sea level during 1993–2019 |
publisher |
Walter de Gruyter GmbH |
publishDate |
2021 |
url |
http://dx.doi.org/10.1515/jogs-2020-0121 https://www.degruyter.com/document/doi/10.1515/jogs-2020-0121/xml https://www.degruyter.com/document/doi/10.1515/jogs-2020-0121/pdf |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Antarc* Antarctica Greenland |
genre_facet |
Antarc* Antarctica Greenland |
op_source |
Journal of Geodetic Science volume 11, issue 1, page 75-82 ISSN 2081-9943 |
op_rights |
http://creativecommons.org/licenses/by/4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1515/jogs-2020-0121 |
container_title |
Journal of Geodetic Science |
container_volume |
11 |
container_issue |
1 |
container_start_page |
75 |
op_container_end_page |
82 |
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1766279588110925824 |