Kinematics of global mean thermosteric sea level during 1993–2019

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 20th and the early 21st century. This study first generates quasi-observed monthly globally averaged ther...

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Autor principal: İz H. Bâki
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Publicado: Sciendo 2021
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spelling oai:doaj.org-article:c543fb0ce70d444c9aa165fd19539f852021-12-05T14:10:52ZKinematics of global mean thermosteric sea level during 1993–20192081-994310.1515/jogs-2020-0121https://doaj.org/article/c543fb0ce70d444c9aa165fd19539f852021-08-01T00:00:00Zhttps://doi.org/10.1515/jogs-2020-0121https://doaj.org/toc/2081-9943Because 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 20th and the early 21st 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 R2)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 R2. 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.İz H. BâkiSciendoarticleglobal mean sea levelsatellite altimetryglobal thermosteric sea levelglobal mean sea surface temperatureglobal sea level budgetGeodesyQB275-343ENJournal of Geodetic Science, Vol 11, Iss 1, Pp 75-82 (2021)
institution DOAJ
collection DOAJ
language EN
topic global mean sea level
satellite altimetry
global thermosteric sea level
global mean sea surface temperature
global sea level budget
Geodesy
QB275-343
spellingShingle global mean sea level
satellite altimetry
global thermosteric sea level
global mean sea surface temperature
global sea level budget
Geodesy
QB275-343
İz H. Bâki
Kinematics of global mean thermosteric sea level during 1993–2019
description 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 20th and the early 21st 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 R2)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 R2. 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
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 Sciendo
publishDate 2021
url https://doaj.org/article/c543fb0ce70d444c9aa165fd19539f85
work_keys_str_mv AT izhbaki kinematicsofglobalmeanthermostericsealevelduring19932019
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