Ni, Qinbiao, Zhai, Xiaoming, LaCasce, Joseph H., Chen, Dake and Marshall, David P. (2023) Full-depth eddy kinetic energy in the global ocean estimated from altimeter and Argo observations. Geophysical Research Letters, 50 (15). ISSN 0094-8276
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Abstract
Although the surface eddy kinetic energy (EKE) has been well studied using satellite altimeter and surface drifter observations, our knowledge of EKE in the ocean interior is much more limited due to the sparsity of subsurface current measurements. Here we develop a new approach for estimating EKE over the full depth of the global ocean by combining 20 years of satellite altimeter and Argo float data to infer the vertical profile of eddies. The inferred eddy profiles are surface-intensified at low latitudes and deep-reaching at mid- and high latitudes. They compare favorably to the first empirical orthogonal function obtained from current meter velocities. The global-integrated EKE estimated from the inferred profiles is about 3.1 × 1018 J, which is close to that estimated from the surface mode (3.0 × 1018 J) but about 30% smaller than that estimated from the traditional flat bottom modes (4.6 × 1018 J).
Item Type: | Article |
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Additional Information: | Funding Information: Q. Ni is supported by the National Natural Science Foundation of China (42106011) and an International Postdoctoral Exchange Fellowship awarded by the Office of China Postdoctoral Council. D. Chen is supported by the National Natural Science Foundation of China (42227901). J. H. LaCasce is supported under Grant 302743 (The Rough Ocean) of the Norwegian Research Council. |
Uncontrolled Keywords: | geophysics,earth and planetary sciences(all) ,/dk/atira/pure/subjectarea/asjc/1900/1908 |
Faculty \ School: | Faculty of Science > School of Environmental Sciences Faculty of Science > School of Natural Sciences |
UEA Research Groups: | Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences |
Related URLs: | |
Depositing User: | LivePure Connector |
Date Deposited: | 05 Jun 2023 09:31 |
Last Modified: | 13 Nov 2023 17:56 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/92279 |
DOI: | 10.1029/2023GL103114 |
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