Hector S. Torres, Alexander Wineteer, Ernesto Rodriguez, Patrice Klein, Andrew F. Thompson, Dragana Perkovic-Martin, Jeroen Molemaker, Delphine Hypolite, Jöern Callies, J. Thomas Farrar, Eric D’Asaro, Mara A. Freilich
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Assuming surface current divergence and temperature are homogeneous down to 30 m depth, we show that more than 80% of the upward vertical heat fluxes, reaching <span data-altimg=\"/cms/asset/262edce7-f0a7-4970-8540-f006659dc8d2/grl68744-math-0001.png\"></span><mjx-container ctxtmenu_counter=\"100\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/grl68744-math-0001.png\"><mjx-semantics><mjx-mrow><mjx-mo data-semantic- data-semantic-role=\"equality\" data-semantic-speech=\"tilde\" data-semantic-type=\"relation\"><mjx-c></mjx-c></mjx-mo></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display=\"inline\" unselectable=\"on\"><math altimg=\"urn:x-wiley:00948276:media:grl68744:grl68744-math-0001\" display=\"inline\" location=\"graphic/grl68744-math-0001.png\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><semantics><mrow><mo data-semantic-=\"\" data-semantic-role=\"equality\" data-semantic-speech=\"tilde\" data-semantic-type=\"relation\">∼</mo></mrow>${\\sim} $</annotation></semantics></math></mjx-assistive-mml></mjx-container>227 W <span data-altimg=\"/cms/asset/e69cdaef-ffd9-413d-9448-1660ed230fa1/grl68744-math-0002.png\"></span><mjx-container ctxtmenu_counter=\"101\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/grl68744-math-0002.png\"><mjx-semantics><mjx-mrow><mjx-msup data-semantic-children=\"0,3\" data-semantic- data-semantic-role=\"latinletter\" data-semantic-speech=\"normal m Superscript negative 2\" data-semantic-type=\"superscript\"><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic- data-semantic-parent=\"4\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi><mjx-script style=\"vertical-align: 0.363em;\"><mjx-mrow data-semantic-annotation=\"clearspeak:simple\" data-semantic-children=\"2\" data-semantic-content=\"1\" data-semantic- data-semantic-parent=\"4\" data-semantic-role=\"negative\" data-semantic-type=\"prefixop\" size=\"s\"><mjx-mo data-semantic- data-semantic-operator=\"prefixop,−\" data-semantic-parent=\"3\" data-semantic-role=\"subtraction\" data-semantic-type=\"operator\" rspace=\"1\"><mjx-c></mjx-c></mjx-mo><mjx-mn data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic- data-semantic-parent=\"3\" data-semantic-role=\"integer\" data-semantic-type=\"number\"><mjx-c></mjx-c></mjx-mn></mjx-mrow></mjx-script></mjx-msup></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display=\"inline\" unselectable=\"on\"><math altimg=\"urn:x-wiley:00948276:media:grl68744:grl68744-math-0002\" display=\"inline\" location=\"graphic/grl68744-math-0002.png\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><semantics><mrow><msup data-semantic-=\"\" data-semantic-children=\"0,3\" data-semantic-role=\"latinletter\" data-semantic-speech=\"normal m Superscript negative 2\" data-semantic-type=\"superscript\"><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic-parent=\"4\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\" mathvariant=\"normal\">m</mi><mrow data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-children=\"2\" data-semantic-content=\"1\" data-semantic-parent=\"4\" data-semantic-role=\"negative\" data-semantic-type=\"prefixop\"><mo data-semantic-=\"\" data-semantic-operator=\"prefixop,−\" data-semantic-parent=\"3\" data-semantic-role=\"subtraction\" data-semantic-type=\"operator\">−</mo><mn data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic-parent=\"3\" data-semantic-role=\"integer\" data-semantic-type=\"number\">2</mn></mrow></msup></mrow>${\\mathrm{m}}^{-2}$</annotation></semantics></math></mjx-assistive-mml></mjx-container>, is explained by the smallest resolved eddies, with a size smaller than 15 km. 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引用次数: 0
摘要
卫星红外图像显示,亚中尺度涡旋(小于50公里)在整个海洋中无处不在。从观测中诊断它们对海洋能量学的影响仍然是一个挑战。本研究利用2022年10月S-MODE实验收集的高空间分辨率地面流和海面温度的航空观测数据,分析了亚中尺度涡旋的湍流场。假设地表流散度和温度在30 m深度下是均匀的,我们发现超过80%的向上垂直热通量,达到~ ${\sim} $227 W m−2${\ maththrm {m}}^{-2}$,是由最小的分解涡流解释的,其大小小于15 km。这一结果强调了在数值模式中表现不佳的小尺度涡旋对海洋热收支的贡献,从而对气候系统的贡献。
Submesoscale Eddy Contribution to Ocean Vertical Heat Flux Diagnosed From Airborne Observations
Submesoscale eddies (those smaller than 50 km) are ubiquitous throughout the ocean, as revealed by satellite infrared images. Diagnosing their impact on ocean energetics from observations remains a challenge. This study analyzes a turbulent field of submesoscale eddies using airborne observations of surface currents and sea surface temperature, with high spatial resolution, collected during the S-MODE experiment in October 2022. Assuming surface current divergence and temperature are homogeneous down to 30 m depth, we show that more than 80% of the upward vertical heat fluxes, reaching 227 W , is explained by the smallest resolved eddies, with a size smaller than 15 km. This result emphasizes the contribution of small-scale eddies, poorly represented in numerical models, to the ocean heat budget and, therefore, to the climate system.
期刊介绍:
Geophysical Research Letters (GRL) publishes high-impact, innovative, and timely research on major scientific advances in all the major geoscience disciplines. Papers are communications-length articles and should have broad and immediate implications in their discipline or across the geosciences. GRLmaintains the fastest turn-around of all high-impact publications in the geosciences and works closely with authors to ensure broad visibility of top papers.