Spatio-temporal variability of surface turbulent heat flux feedback for mesoscale sea surface temperature anomaly in the global ocean
The surface turbulent heat flux feedback α T plays an important role in the atmosphere–ocean coupling. However, spatio-temporal variability of α T for sea surface temperature anomaly (SSTA) at oceanic mesoscales in the global ocean remains poorly assessed. In this study, we tackle this issue using a...
Published in: | Frontiers in Marine Science |
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Online Access: | http://dx.doi.org/10.3389/fmars.2022.957796 https://www.frontiersin.org/articles/10.3389/fmars.2022.957796/full |
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crfrontiers:10.3389/fmars.2022.957796 2024-02-11T09:58:06+01:00 Spatio-temporal variability of surface turbulent heat flux feedback for mesoscale sea surface temperature anomaly in the global ocean Yuan, Man Li, Furong Ma, Xiaohui Yang, Peiran National Natural Science Foundation of China 2022 http://dx.doi.org/10.3389/fmars.2022.957796 https://www.frontiersin.org/articles/10.3389/fmars.2022.957796/full unknown Frontiers Media SA https://creativecommons.org/licenses/by/4.0/ Frontiers in Marine Science volume 9 ISSN 2296-7745 Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography journal-article 2022 crfrontiers https://doi.org/10.3389/fmars.2022.957796 2024-01-26T09:57:24Z The surface turbulent heat flux feedback α T plays an important role in the atmosphere–ocean coupling. However, spatio-temporal variability of α T for sea surface temperature anomaly (SSTA) at oceanic mesoscales in the global ocean remains poorly assessed. In this study, we tackle this issue using an advanced statistical model, i.e., the geographically and temporally weighted regression model. The estimated time-mean α T for mesoscale SSTA generally ranges from 10 to 50 W/(m 2 K) within 70°S–70°N, except in the Antarctic coastal region where its value drops to zero. The α T is larger in the tropics than in off-tropical regions and locally enhanced in the equatorial cold tongues, western boundary currents, and their extensions. The spatial structure α T is primarily attributed to the non-linearity in the Clausius–Clapeyron relation and inhomogeneity in the background wind speed, whereas adjustment of surface wind speed, air temperature, or moisture to mesoscale SSTA plays an important role in the regional variability. There is an evident seasonal cycle of α T in the tropics and under the northern hemisphere’s storm tracks. The former is due to the seasonally varying response of surface wind speed to mesoscale SSTA, and the latter results from the seasonality of atmospheric and oceanic background states. Our analysis reveals prominent spatio-temporal variability of α T for mesoscale SSTA governed by complicated dynamics. Article in Journal/Newspaper Antarc* Antarctic Frontiers (Publisher) Antarctic The Antarctic Frontiers in Marine Science 9 |
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Open Polar |
collection |
Frontiers (Publisher) |
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crfrontiers |
language |
unknown |
topic |
Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography |
spellingShingle |
Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography Yuan, Man Li, Furong Ma, Xiaohui Yang, Peiran Spatio-temporal variability of surface turbulent heat flux feedback for mesoscale sea surface temperature anomaly in the global ocean |
topic_facet |
Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography |
description |
The surface turbulent heat flux feedback α T plays an important role in the atmosphere–ocean coupling. However, spatio-temporal variability of α T for sea surface temperature anomaly (SSTA) at oceanic mesoscales in the global ocean remains poorly assessed. In this study, we tackle this issue using an advanced statistical model, i.e., the geographically and temporally weighted regression model. The estimated time-mean α T for mesoscale SSTA generally ranges from 10 to 50 W/(m 2 K) within 70°S–70°N, except in the Antarctic coastal region where its value drops to zero. The α T is larger in the tropics than in off-tropical regions and locally enhanced in the equatorial cold tongues, western boundary currents, and their extensions. The spatial structure α T is primarily attributed to the non-linearity in the Clausius–Clapeyron relation and inhomogeneity in the background wind speed, whereas adjustment of surface wind speed, air temperature, or moisture to mesoscale SSTA plays an important role in the regional variability. There is an evident seasonal cycle of α T in the tropics and under the northern hemisphere’s storm tracks. The former is due to the seasonally varying response of surface wind speed to mesoscale SSTA, and the latter results from the seasonality of atmospheric and oceanic background states. Our analysis reveals prominent spatio-temporal variability of α T for mesoscale SSTA governed by complicated dynamics. |
author2 |
National Natural Science Foundation of China |
format |
Article in Journal/Newspaper |
author |
Yuan, Man Li, Furong Ma, Xiaohui Yang, Peiran |
author_facet |
Yuan, Man Li, Furong Ma, Xiaohui Yang, Peiran |
author_sort |
Yuan, Man |
title |
Spatio-temporal variability of surface turbulent heat flux feedback for mesoscale sea surface temperature anomaly in the global ocean |
title_short |
Spatio-temporal variability of surface turbulent heat flux feedback for mesoscale sea surface temperature anomaly in the global ocean |
title_full |
Spatio-temporal variability of surface turbulent heat flux feedback for mesoscale sea surface temperature anomaly in the global ocean |
title_fullStr |
Spatio-temporal variability of surface turbulent heat flux feedback for mesoscale sea surface temperature anomaly in the global ocean |
title_full_unstemmed |
Spatio-temporal variability of surface turbulent heat flux feedback for mesoscale sea surface temperature anomaly in the global ocean |
title_sort |
spatio-temporal variability of surface turbulent heat flux feedback for mesoscale sea surface temperature anomaly in the global ocean |
publisher |
Frontiers Media SA |
publishDate |
2022 |
url |
http://dx.doi.org/10.3389/fmars.2022.957796 https://www.frontiersin.org/articles/10.3389/fmars.2022.957796/full |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
Frontiers in Marine Science volume 9 ISSN 2296-7745 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3389/fmars.2022.957796 |
container_title |
Frontiers in Marine Science |
container_volume |
9 |
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1790593680466247680 |