PS010
Separation and Modeling of Waves and Balanced Flow in the Submesoscale
Session ID#: 257865
Session Description:
Oceanic flows can be broadly separated into inertia-gravity waves and balanced motions. At the mesoscale, this separation is based on a small Rossby number assumption, leading to linear equations that naturally separate into one vortical mode and two wave modes. At the submesoscale, however, these motions can interact nonlinearly, transferring energy between them. Separating them also becomes difficult, due to the existence of ageostrophic fronts and filaments, wave induced mean flow, and Doppler-shifting of wave frequencies by the balanced flow.
Understanding how all these processes coexist is a vitally important problem due to recent advancements in numerical modeling and observations, where increasingly fine resolutions can be reached. In this context, wave and balanced motions have to be modeled differently due to their disparate roles in transport and the energy budget; they also must be treated differently in observed data. This session aims to communicate recent progress in the modeling of wave and balanced flows, specifically their interaction and separation. Works based on and combining theory, observations, and numerical experiments are all welcome.
Index Terms:
4528 Fronts and jets [OCEANOGRAPHY: PHYSICAL]
4544 Internal and inertial waves [OCEANOGRAPHY: PHYSICAL]
4572 Upper ocean and mixed layer processes [OCEANOGRAPHY: PHYSICAL]
Student/Early Career Chair: Cai Maitland-Davies, University of Durham, Department of Mathematical Sciences, Durham, United Kingdom
Primary Chair: Ryan Shìjié Dù, New York University, CAOS, Courant Institute of Mathematical Sciences, New York, United States; Colorado School of Mines, Department of Geophysics, Golden, United States
Co-chairs: Cai Maitland-Davies, University of Durham, Department of Mathematical Sciences, Durham, United Kingdom, Hector S Torres, JPL/NASA/Caltech, Pasadena, CA, United States and Roy Barkan, Tel Aviv University, Porter School of Environment and Earth Science, Tel Aviv, Israel
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Prof. Zhiyu Liu, PhD1, Chuanyin Wang2, Zhenbo Liu3 and Qiang Deng3, (1)Xiamen University, State Key Laboratory of Marine Environmental Science, and Department of Physical Oceanography and Meteorology, College of Ocean and Earth Sciences, Xiamen, China, (2)Southern Marine Science and Engineering Guandong Laboratory (Zhuhai), Zhuhai, China, (3)Xiamen University, Xiamen, China
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Huiling Zheng1, Zimeng Zhao1 and Xiaofeng Li2, (1)Institute of Oceanology, Chinese Academy of Sciences, Key Laboratory of Ocean Circulation and Waves, Qingdao, China, (2)Institute of Oceanography, Chinese Academy of Sciences, Qingdao, China
Insights from a Simple Deep Learning Algorithm that Separates Internal Tides from Balanced Flows (2023858)
Han Wang1, Jeffrey Uncu2, Kaushik Srinivasan3 and Nicolas Grisouard2, (1)University of Hamburg, Institute of Oceanography, Hamburg, Germany, (2)University of Toronto, Physics, Toronto, ON, Canada, (3)University of California Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, United States
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Tasin Sumaia Khan1, K M Azam Chowdhury2, Tonia Astrid Capuano3, Nur Uddin Md Khaled Chowdhury4, Ashraful Moontahab5 and Atkiya Sadiya1, (1)Bangladesh Maritime University, Oceanography and Hydrography, Dhaka, Bangladesh, (2)University of Dhaka, Department of Oceanography, Dhaka, Bangladesh, (3)University of Dhaka, International Centre for Ocean Governance, Dhaka, Bangladesh, (4)Tarleton State University, Chemistry, Geosciences & Physics, Stephenville, United States, (5)Bangabandhu Sheikh Mujibur Rahman Maritime University Bangladesh, Oceanography and Hydrography, Dhaka, Bangladesh
Separation and Reconstruction of Balanced Motions and Internal Tides from SWOT and Nadir Altimeters with a Variational Data Assimilation Method (2038425)
Valentin Bellemin-Laponnaz1, Florian Le Guillou2, Clément Ubelmann2, Eric Blayo3 and Emmanuel Cosme4, (1)Univ. Grenoble Alpes, CNRS, INRAE, IRD, Grenoble INP-UGA, IGE, Grenoble, France, (2)Datlas, Grenoble, France, (3)Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LJK, Grenoble, France, (4)Université Grenoble Alpes (UGA)/CNRS, Institut des Géosciences de l'Environnement (IGE), Grenoble, France
A perspective on energy orthogonality in wave-vortex flow decompositions (2043162)
Jeffrey J Early1, Gerardo Hernandez-Duenas2, Leslie M Smith3, Cimarron J Wortham4 and Marie-Pascale Lelong4, (1)NorthWest Research Associates Redmond, Redmond, WA, United States, (2)UNAM, Queretaro, QA, Mexico, (3)University of Wisconsin Madison, Madison, United States, (4)NorthWest Research Associates, Seattle, United States
