Articles | Volume 21, issue 3
https://doi.org/10.5194/os-21-965-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/os-21-965-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Overlapping turbulent boundary layers in an energetic coastal sea
Arnaud F. Valcarcel
CORRESPONDING AUTHOR
Department of Marine Science, University of Otago, Ōtepi / Dunedin, Aotearoa / New Zealand
National Institute of Water and Atmospheric Research, Ocean Observations, Te Whanganui-a-Tara / Wellington, Aotearoa / New Zealand
Oceanly Science Limited, Te Whanganui-a-Tara / Wellington, Aotearoa / New Zealand
Craig L. Stevens
National Institute of Water and Atmospheric Research, Ocean Observations, Te Whanganui-a-Tara / Wellington, Aotearoa / New Zealand
Department of Physics, University of Auckland, Tāmaki Makaurau / Auckland, Aotearoa / New Zealand
Joanne M. O'Callaghan
Oceanly Science Limited, Te Whanganui-a-Tara / Wellington, Aotearoa / New Zealand
Department of Physics, University of Auckland, Tāmaki Makaurau / Auckland, Aotearoa / New Zealand
Sutara H. Suanda
Department of Physics and Physical Oceanography, University of North Carolina in Wilmington, Wilmington, North Carolina, USA
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Shenjie Zhou, Pierre Dutrieux, Claudia F. Giulivi, Adrian Jenkins, Alessandro Silvano, Christopher Auckland, E. Povl Abrahamsen, Michael P. Meredith, Irena Vaňková, Keith W. Nicholls, Peter E. D. Davis, Svein Østerhus, Arnold L. Gordon, Christopher J. Zappa, Tiago S. Dotto, Theodore A. Scambos, Kathyrn L. Gunn, Stephen R. Rintoul, Shigeru Aoki, Craig Stevens, Chengyan Liu, Sukyoung Yun, Tae-Wan Kim, Won Sang Lee, Markus Janout, Tore Hattermann, Julius Lauber, Elin Darelius, Anna Wåhlin, Leo Middleton, Pasquale Castagno, Giorgio Budillon, Karen J. Heywood, Jennifer Graham, Stephen Dye, Daisuke Hirano, and Una Kim Miller
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-54, https://doi.org/10.5194/essd-2025-54, 2025
Preprint under review for ESSD
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We created the first standardised dataset of in-situ ocean measurements time series from around Antarctica collected since 1970s. This includes temperature, salinity, pressure, and currents recorded by instruments deployed in icy, challenging conditions. Our analysis highlights the dominance of tidal currents and separates these from other patterns to study regional energy distribution. This unique dataset offers a foundation for future research on Antarctic ocean dynamics and ice interactions.
Rafael Santana, Helen Macdonald, Joanne O'Callaghan, Brian Powell, Sarah Wakes, and Sutara H. Suanda
Geosci. Model Dev., 16, 3675–3698, https://doi.org/10.5194/gmd-16-3675-2023, https://doi.org/10.5194/gmd-16-3675-2023, 2023
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We show the importance of assimilating subsurface temperature and velocity data in a model of the East Auckland Current. Assimilation of velocity increased the representation of large oceanic vortexes. Assimilation of temperature is needed to correctly simulate temperatures around 100 m depth, which is the most difficult region to simulate in ocean models. Our simulations showed improved results in comparison to the US Navy global model and highlight the importance of regional models.
Joao Marcos Azevedo Correia de Souza, Sutara H. Suanda, Phellipe P. Couto, Robert O. Smith, Colette Kerry, and Moninya Roughan
Geosci. Model Dev., 16, 211–231, https://doi.org/10.5194/gmd-16-211-2023, https://doi.org/10.5194/gmd-16-211-2023, 2023
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The current paper describes the configuration and evaluation of the Moana Ocean Hindcast, a > 25-year simulation of the ocean state around New Zealand using the Regional Ocean Modeling System v3.9. This is the first open-access, long-term, continuous, realistic ocean simulation for this region and provides information for improving the understanding of the ocean processes that affect the New Zealand exclusive economic zone.
Madelaine Rosevear, Benjamin Galton-Fenzi, and Craig Stevens
Ocean Sci., 18, 1109–1130, https://doi.org/10.5194/os-18-1109-2022, https://doi.org/10.5194/os-18-1109-2022, 2022
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Understanding ocean-driven melting of Antarctic ice shelves is critical for predicting future sea level. However, ocean observations from beneath ice shelves are scarce. Here, we present unique ocean and melting data from the Amery Ice Shelf, East Antarctica. We use our observations to evaluate common methods of representing melting in ocean–climate models (melting
parameterisations) and show that these parameterisations overestimate melting when the ocean is warm and/or currents are weak.
Craig Stevens, Natalie Robinson, Gabby O'Connor, and Brett Grant
The Cryosphere Discuss., https://doi.org/10.5194/tc-2020-249, https://doi.org/10.5194/tc-2020-249, 2020
Revised manuscript not accepted
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Along Antarctica's coastal margin melting ice shelves create plumes of very cold sea water. In some circumstances the water is so cold that ice crystals exist in suspension. We present evidence from near the McMurdo Ice Shelf of ice crystals far larger than normal (by an order of magnitude or more). The crystal behaviour is examined by combining measurements of the crystal motion with ocean flow and turbulence data. This helps us make links between ice shelf melting and sea ice formation.
Rebecca A. McPherson, Craig L. Stevens, Joanne M. O'Callaghan, Andrew J. Lucas, and Jonathan D. Nash
Ocean Sci., 16, 799–815, https://doi.org/10.5194/os-16-799-2020, https://doi.org/10.5194/os-16-799-2020, 2020
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River plume characteristics (density, velocity, turbulence) are measured in the first several kilometers of a river flow entering a New Zealand fjord. These observations are used to quantify the influence of the main plume dynamics on controlling the behavior and structure of the flow. The mixing of dense, stationary water from below into the fast-flowing plume drove its deceleration. Internal waves were capable of transporting almost 15 % of the total momentum out beyond the plume's boundaries.
Seung-Tae Yoon, Won Sang Lee, Craig Stevens, Stefan Jendersie, SungHyun Nam, Sukyoung Yun, Chung Yeon Hwang, Gwang Il Jang, and Jiyeon Lee
Ocean Sci., 16, 373–388, https://doi.org/10.5194/os-16-373-2020, https://doi.org/10.5194/os-16-373-2020, 2020
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We investigated the variability in high-salinity shelf water (HSSW) formation in the Terra Nova Bay polynya using hydrographic data from instrumented moorings and vessel-based profiles. We show that HSSW can be formed in the upper water column of the eastern Terra Nova Bay via polynya activity and convective processes, as well as how the nature of circulation in Terra Nova Bay influences HSSW production. This article also discusses the present results in the context of previous analyses.
Craig L. Stevens
Ocean Sci., 14, 801–812, https://doi.org/10.5194/os-14-801-2018, https://doi.org/10.5194/os-14-801-2018, 2018
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Mixing in the ocean is highly variable and it is often difficult to measure the more energetic regions. Here we present the first full-depth turbulence profiles from Cook Strait, New Zealand. This 22 km wide channel between the major islands of New Zealand sustains very fast tidally driven flows. The measurements show that large vertical eddies exist, moving water up and down. This will affect stratification, as well as any biology, as it passes through the strait.
Miles G. McPhee, Craig L. Stevens, Inga J. Smith, and Natalie J. Robinson
Ocean Sci., 12, 507–515, https://doi.org/10.5194/os-12-507-2016, https://doi.org/10.5194/os-12-507-2016, 2016
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Measurements of turbulent heat fluxes in tidally modulated flow of supercool seawater under Antarctic land-fast sea ice show that turbulent heat exchange at the ocean–ice boundary is characterized by the product of friction velocity and (negative) water temperature departure from freezing. Also, the conditions cause platelet ice growth to form on the underside of the sea ice which increases the hydraulic roughness (drag) of fast ice compared to ice without platelets.
C. L. Stevens, P. Sirguey, G. H. Leonard, and T. G. Haskell
The Cryosphere, 7, 1333–1337, https://doi.org/10.5194/tc-7-1333-2013, https://doi.org/10.5194/tc-7-1333-2013, 2013
Related subject area
Approach: In situ Observations | Properties and processes: Internal waves, turbulence and mixing
Dissipation ratio and eddy diffusivity of turbulent and salt finger mixing derived from microstructure measurements
Internal-wave-induced dissipation rates in the Weddell Sea Bottom Water gravity current
Technical note: Spectral slopes in a deep, weakly stratified ocean and coupling between sub-mesoscale motion and small-scale mechanisms
Enhanced bed shear stress and mixing in the tidal wake of an offshore wind turbine monopile
A global summary of seafloor topography influenced by internal-wave induced turbulent water mixing
Parameter Sensitivity Study of Energy Transfer Between Mesoscale Eddies and Wind-Induced Near-Inertial Oscillations
Turbulent erosion of a subducting intrusion in the Western Mediterranean Sea
Turbulent dissipation from AMAZOMIX off the Amazon shelf along internal tides paths
Internal-tide vertical structure and steric sea surface height signature south of New Caledonia revealed by glider observations
Observations of strong turbulence and mixing impacting water exchange between two basins in the Baltic Sea
Jianing Li, Qingxuan Yang, and Hui Sun
Ocean Sci., 21, 829–849, https://doi.org/10.5194/os-21-829-2025, https://doi.org/10.5194/os-21-829-2025, 2025
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The Osborn relation is widely used to estimate the diapycnal mixing rate, but its accuracy is questioned due to the assumed constant dissipation ratio (Γ) without identifying mixing types. We identify a salt finger and turbulence in the western Pacific and midlatitude Atlantic, finding that Γ is highly variable and related to turbulence parameters, through which we improve mixing rate estimates. Identifying mixing types and refining Γ are necessary to improve mixing parameterization accuracy.
Ole Pinner, Friederike Pollmann, Markus Janout, Gunnar Voet, and Torsten Kanzow
Ocean Sci., 21, 701–726, https://doi.org/10.5194/os-21-701-2025, https://doi.org/10.5194/os-21-701-2025, 2025
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The Weddell Sea Bottom Water gravity current transports dense water from the continental shelf to the deep sea and is crucial for the formation of new deep-sea water. Building on vertical profiles and time series measured in the northwestern Weddell Sea, we apply three methods to distinguish turbulence caused by internal waves from that by other sources. We find that in the upper part of the gravity current, internal waves are important for the mixing of less dense water down into the current.
Hans van Haren
Ocean Sci., 21, 555–565, https://doi.org/10.5194/os-21-555-2025, https://doi.org/10.5194/os-21-555-2025, 2025
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Ocean circulations include small-scale processes like transport through sub-mesoscale eddies and turbulence by internal wave breaking. Knowledge is lacking on the interaction between the different processes. In deep, weakly stratified waters, continuous spectral slopes are observed that extend from sub-mesoscales across the internal wave band to the turbulence range. Such correspondence is suggested as being a potential feedback mechanism stabilizing large-scale ocean circulations.
Martin J. Austin, Christopher A. Unsworth, Katrien J. J. Van Landeghem, and Ben J. Lincoln
Ocean Sci., 21, 81–91, https://doi.org/10.5194/os-21-81-2025, https://doi.org/10.5194/os-21-81-2025, 2025
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Novel hydrodynamic observations 40 m from an offshore wind turbine monopile show that the turbulent tidal lee wake doubles the drag acting on the seabed, potentially enhancing sediment transport and impacting the seabed habitat and the organisms that utilise it. It also enhances the vertical mixing of the water column, which drives the transport of heat, nutrients and oxygen. As offshore wind farms rapidly expand into deeper waters, array-scale wakes may have significant ecological impacts.
Hans van Haren and Henk de Haas
EGUsphere, https://doi.org/10.5194/egusphere-2024-3603, https://doi.org/10.5194/egusphere-2024-3603, 2024
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Turbulent water motions are important for the exchange of momentum, heat, nutrients, and suspended matter in the deep-sea. The shape of marine topography influences most water turbulence via breaking internal waves at ‘critically’ sloping seafloors. In this paper, the concept of critical slopes is revisited from a global internal wave-turbulence viewpoint using seafloor topography- and moored temperature sensor data. Potential robustness of the seafloor-internal wave interaction is discussed.
Yu Zhang, Jintao Gu, Shengli Chen, Jianyu Hu, Jinyu Sheng, and Jiuxing Xing
EGUsphere, https://doi.org/10.5194/egusphere-2024-3457, https://doi.org/10.5194/egusphere-2024-3457, 2024
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Current observations at two moorings in the northern South China Sea reveal that mesoscale eddies can transfer energy with near-inertial oscillations (NIOs). Numerical experiments are conducted to investigate important parameters affecting energy transfer between mesoscale eddies and NIOs, which demonstrate that the energy transferred by mesoscale eddies is larger with stronger winds and higher strength of the mesoscale eddy. Anticyclonic eddies can transfer more energy than cyclonic eddies.
Giovanni Testa, Mathieu Dever, Mara Freilich, Amala Mahadevan, T. M. Shaun Johnston, Lorenzo Pasculli, and Francesco M. Falcieri
EGUsphere, https://doi.org/10.5194/egusphere-2024-3294, https://doi.org/10.5194/egusphere-2024-3294, 2024
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In the Western Alboran Gyre, waters from the Atlantic and Mediterranean meet, creating density differences that cause some water to sink, affecting ocean ventilation and nutrient cycles. We collected data showing patches of water with higher oxygen and chlorophyll levels moving towards the gyre's center, with active mixing at their edges. This mixing diluted the patches, and other factors like water density and light penetration likely played a role in these dynamics.
Fabius Kouogang, Ariane Koch-Larrouy, Jorge Magalhaes, Alex Costa da Silva, Daphne Kerhervé, Arnaud Bertrand, Evan Cervelli, Jean-François Ternon, Pierre Rousselot, James Lee, Marcelo Rollnic, and Moacyr Araujo
EGUsphere, https://doi.org/10.5194/egusphere-2024-2548, https://doi.org/10.5194/egusphere-2024-2548, 2024
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The first time direct measurements of turbulent dissipation from AMAZOMIX revealed high energy dissipations within [10-6,10-4] W.kg-1 caused at 65 % apart from internal tides in their generation zone, and [10-8,10-7] W.kg-1 caused at 50.4 % by mean circulation of surrounding water masses far fields. Finally, estimates of nutrient fluxes showed a very high flux of nitrate ([10-2, 10-0] mmol N m-2.s-1) and phosphate ([10-3, 10-1] mmol P m-2.s-1), due to both processes in Amazon region.
Arne Bendinger, Sophie Cravatte, Lionel Gourdeau, Luc Rainville, Clément Vic, Guillaume Sérazin, Fabien Durand, Frédéric Marin, and Jean-Luc Fuda
Ocean Sci., 20, 945–964, https://doi.org/10.5194/os-20-945-2024, https://doi.org/10.5194/os-20-945-2024, 2024
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A unique dataset of glider observations reveals tidal beams south of New Caledonia – an internal-tide-generation hot spot in the southwestern tropical Pacific. Observations are in good agreement with numerical modeling output, highlighting the glider's capability to infer internal tides while assessing the model's realism of internal-tide dynamics. Discrepancies are in large part linked to eddy–internal-tide interactions. A methodology is proposed to deduce the internal-tide surface signature.
Julia Muchowski, Martin Jakobsson, Lars Umlauf, Lars Arneborg, Bo Gustafsson, Peter Holtermann, Christoph Humborg, and Christian Stranne
Ocean Sci., 19, 1809–1825, https://doi.org/10.5194/os-19-1809-2023, https://doi.org/10.5194/os-19-1809-2023, 2023
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We show observational data of highly increased mixing and vertical salt flux rates in a sparsely sampled region of the northern Baltic Sea. Co-located acoustic observations complement our in situ measurements and visualize turbulent mixing with high spatial resolution. The observed mixing is generally not resolved in numerical models of the area but likely impacts the exchange of water between the adjacent basins as well as nutrient and oxygen conditions in the Bothnian Sea.
Cited articles
Arthur, R. S., Venayagamoorthy, S. K., Koseff, J. R., and Fringer, O. B.: How we compute N matters to estimates of mixing in stratified flows, J. Fluid Mech., 831, 1–10, https://doi.org/10.1017/jfm.2017.679, 2017. a
Barry, M. E., Ivey, G. N., Winters, K. B., and Imberger, J.: Measurements of diapycnal diffusivities in stratified fluids, J. Fluid Mech., 442, 267–291, https://doi.org/10.1017/S0022112001005080, 2001. a
Bianchi, A. A., Bianucci, L., Piola, A. R., Pino, D. R., Schloss, I., Poisson, A., and Balestrini, C. F.: Vertical stratification and air-sea CO2 fluxes in the Patagonian shelf, J. Geophys. Res.-Oceans, 110, 1–10, https://doi.org/10.1029/2004JC002488, 2005. a
Bluteau, C. E., Lueck, R. G., Ivey, G. N., Jones, N. L., Book, J. W., and Rice, A. E.: Determining mixing rates from concurrent temperature and velocity measurements, J. Atmos. Ocean. Tech., 34, 2283–2293, https://doi.org/10.1175/JTECH-D-16-0250.1, 2017. a
Borges, A. V., Delille, B., and Frankignoulle, M.: Budgeting sinks and sources of CO2 in the coastal ocean: diversity of ecosystem counts, Geophys. Res. Lett., 32, 1–4, https://doi.org/10.1029/2005GL023053, 2005. a
Burchard, H., Bolding, K., and Villarreal, M.: GOTM – A General Ocean Turbulence Model, https://op.europa.eu/s/z5LF (last access: 18 May 2020), 1999. a
Callaghan, A. H., Ward, B., and Vialard, J.: Influence of surface forcing on near-surface and mixing layer turbulence in the tropical Indian Ocean, Deep-Sea Res. Pt. I, 94, 107–123, https://doi.org/10.1016/j.dsr.2014.08.009, 2014. a
Canuto, V. M., Howard, A., Cheng, Y., and Dubovikov, M. S.: Ocean turbulence. Part I: One-point closure model-momentum and heat vertical diffusivities, J. Phys. Oceanogr., 31, 1413–1426, https://doi.org/10.1175/1520-0485(2001)031<1413:OTPIOP>2.0.CO;2, 2001. a
Caulfield, C.-C. P.: Open questions in turbulent stratified mixing: Do we even know what we do not know ?, Physical Review Fluids, 5, 110518, https://doi.org/10.1103/PhysRevFluids.5.110518, 2020. a
Esters, L., Øyvind Breivik, Landwehr, S., Landwehr, S., ten Doeschate, A., Sutherland, G., Christensen, K. H., Bidlot, J., Bidlot, J., Bidlot, J.-R., and Ward, B.: Turbulence scaling comparisons in the ocean surface boundary layer, J. Geophys. Res., 123, 2172–2191, https://doi.org/10.1002/2017jc013525, 2018. a, b, c, d, e, f
Fer, I., Peterson, A. K., and Ullgren, J. E.: Microstructure measurements from an underwater glider in the turbulent Faroe Bank Channel overflow, J. Atmos. Ocean. Tech., 31, 1128–1150, https://doi.org/10.1175/JTECH-D-13-00221.1, 2014. a, b
Gargett, A. E. and Wells, J. R.: Langmuir turbulence in shallow water. Part 1. Observations, J. Fluid Mech., 576, 27–61, https://doi.org/10.1017/S0022112006004575, 2007. a
Garrett, C. J., Keeley, J. R., and Greenberg, D. A.: Tidal mixing versus thermal stratification in the bay of fundy and gulf of maine, Atmos. Ocean, 16, 403–423, https://doi.org/10.1080/07055900.1978.9649046, 1978. a
Gregg, M., D'Asaro, E., Riley, J., and Kunze, E.: Mixing efficiency in the ocean, Annu. Rev. Mar. Sci., 10, 443–473, https://doi.org/10.1146/annurev-marine-121916-063643, 2018. a, b, c
Haas, S., Krien, U., Schachler, B., Bot, S., Kyri, P., Zeli, V., Shivam, K., and Bosch, S.: wind-python/windpowerlib: Silent Improvements (v0.2.1), [code], Zenodo, https://doi.org/10.5281/zenodo.4591809, 2021. a
Heath, R. A.: In which direction is the mean flow through Cook Strait, New Zealand – evidence of 1 to 4 week variability?, New Zeal. J. Mar. Fresh., 20, 119–137, https://doi.org/10.1080/00288330.1986.9516136, 1986. a
Hellmann, G.: Über die Bewegung der Luft in den untersten Schichten der Atmosphäre, Kgl, 1919. a
Holleman, R. C., Geyer, W. R., and Ralston, D. K.: Stratified turbulence and mixing efficiency in a salt wedge estuary, J. Phys. Oceanogr., 46, 1769–1783, https://doi.org/10.1175/jpo-d-15-0193.1, 2016. a, b
Inall, M. E., Toberman, M., Polton, J. A., Palmer, M. R., Mattias Green, J., and Rippeth, T. P.: Shelf seas baroclinic energy loss: pycnocline mixing and bottom boundary layer dissipation, J. Geophys. Res.-Oceans, 126, e2020JC016528, https://doi.org/10.1029/2020jc016528, 2021. a
IOC, SCOR, and IAPSO: The international thermodynamic equation of seawater – 2010: Calculation and use of thermodynamic properties, Intergovernmental Oceanographic Commission, Manuals and Guides No. 56, 196 pp., https://www.teos-10.org/ (last access: 25 June 2021), 2010. a
Jabbari, A. and Boegman, L.: Parameterization of oscillating boundary layers in lakes and coastal oceans, Ocean Model., 160, 101780, https://doi.org/10.1016/j.ocemod.2021.101780, 2021. a
Jhugroo, K., O'Callaghan, J., Stevens, C. L., Macdonald, H. S., Elliott, F., and Hadfield, M. G.: Spatial structure of low salinity submesoscale features and their interactions with a coastal current, Frontiers in Marine Science, 7, 557360, https://doi.org/10.3389/fmars.2020.557360, 2020. a, b, c, d
Jiménez, J.: How linear is wall-bounded turbulence?, Phys. Fluids, 25, 110814, https://doi.org/10.1063/1.4819081, 2013. a
Jones, C., Creed, E. L., Glenn, S., Kerfoot, J., Kohut, J., Mudgal, C., and Schofield, O.: Slocum Gliders – A Component of Operational Oceanography, Autonomous Undersea Systems Institute Symposium Proceedings, Autonomous Undersea Systems Institute, 2005. a
JPL MUR MEaSUREs Project: GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis, Ver. 4.1, NOAA National Centers for Environmental Information [data set], https://doi.org/10.5067/GHGMR-4FJ04, 2015. a
Landahl, M. T.: Linear and non-linear mechanisms in boundary layer turbulence, International Journal for Numerical Methods in Fluids, 8, 1183–1184, 1988. a
Landahl, M. T.: Boundary layer turbulence regarded as a driven linear system, Physica D, 37, 11–19, 1989. a
Li, R., Voulgaris, G., and Wang, Y. P.: Turbulence structure and burst events observed in a tidally induced bottom boundary layer, J. Geophys. Res.-Oceans, 127, e2021JC018036, https://doi.org/10.1029/2021JC018036, 2022. a
Lueck, R. G.: RSI Technical Note 028: Calculating the rate of dissipation of turbulent kinetic energy, 18 pp., http://rocklandscientific.com/support/knowledge-base/technical-notes/ (last access: 1 October 2019), 2016. a
MacKinnon, J. A. and Gregg, M. C.: Spring mixing: turbulence and internal waves during restratification on the New England shelf, J. Phys. Oceanogr., 35, 2425–2443, https://doi.org/10.1175/JPO2821.1, 2005. a, b, c
Marsh, R., Hickman, A. E., and Sharples, J.: S2P3-R (v1.0): a framework for efficient regional modelling of physical and biological structures and processes in shelf seas, Geosci. Model Dev., 8, 3163–3178, https://doi.org/10.5194/gmd-8-3163-2015, 2015. a, b
Mashayek, A., Baker, L. E., Cael, B. B., and Caulfield, C. P.: A marginal stability paradigm for shear-induced diapycnal turbulent mixing in the ocean, Geophys. Res. Lett., 49, 1–11, https://doi.org/10.1029/2021GL095715, 2022. a
Mater, B. D., Venayagamoorthy, S. K., Laurent, L. S., and Moum, J. N.: Biases in thorpe-scale estimates of turbulence dissipation. Part I: Assessments from large-scale overturns in oceanographic data, J. Phys. Oceanogr., 45, 2497–2521, https://doi.org/10.1175/JPO-D-14-0128.1, 2015. a, b
Merckelbach, L., Smeed, D., and Griffiths, G.: Vertical water velocities from underwater gliders, J. Atmos. Ocean. Tech., 27, 547–563, https://doi.org/10.1175/2009JTECHO710.1, 2010. a
Merckelbach, L., Berger, A., Krahmann, G., Dengler, M., and Carpenter, J. R.: A dynamic flight model for Slocum gliders and implications for turbulence microstructure measurements, J. Atmos. Ocean. Tech., 36, 281–296, https://doi.org/10.1175/JTECH-D-18-0168.1, 2019. a, b, c
Milne, I. A., Sharma, R. N., and Flay, R. G.: The structure of turbulence in a rapid tidal flow, P. Roy. Soc. A-Math. Phy., 473, 20170295, https://doi.org/10.1098/rspa.2017.0295, 2017. a
Nimmo Smith, W. A. M., Thorpe, S. A., and Graham, A.: Surface effects of bottom-generated turbulence in a shallow tidal sea, Nature, 400, 251–254, https://doi.org/10.1038/22295, 1999. a
Oakey, N. S.: Determination of the rate of dissipation of turbulent energy from simultaneous temperature and velocity shear microstructure measurements, J. Phys. Oceanogr., 12, 256–271, 1982. a
O'Callaghan, J. and Elliott, F.: Ocean Microstructure Glider Observations in Cook Strait, New Zealand, SEANOE [data set], https://doi.org/10.17882/89143, 2022. a, b, c
Orton, P. M., Zappa, C. J., and McGillis, W. R.: Tidal and atmospheric influences on near-surface turbulence in an estuary, J. Geophys. Res.-Oceans, 115, C12029, https://doi.org/10.1029/2010JC006312, 2010. a
Peterson, A. K. and Fer, I.: Dissipation measurements using temperature microstructure from an underwater glider, Meth. Oceanogr., 10, 44–69, https://doi.org/10.1016/j.mio.2014.05.002, 2014. a
Polzin, K. L. and McDougall, T. J.: Chapter 7 – Mixing at the ocean's bottom boundary, in: Ocean Mixing, edited by: Meredith, M. and Naveira Garabato, A., Elsevier, 145–180, https://doi.org/10.1016/B978-0-12-821512-8.00014-1, 2022. a
Ralston, D. K., Geyer, W. R., Lerczak, J. A., and Scully, M.: Turbulent mixing in a strongly forced salt wedge estuary, J. Geophys. Res.-Oceans, 64, 147–171, https://doi.org/10.1029/2009JC006061, 2010. a
Rippeth, T. P., Fisher, N. R., and Simpson, J. H.: The cycle of turbulent dissipation in the presence of tidal straining, J. Phys. Oceanogr., 31, 2458–2471, https://doi.org/10.1175/1520-0485(2001)031<2458:tcotdi>2.0.co;2, 2001. a, b, c
Rockland Scientific: MicroPod-EM: Electromagnetic flow sensor, Rockland Scientific Rep., https://rocklandscientific.com/wp-content/uploads/2017/05/RSI-Data-Sheet-MicroPodEM-A4-1_00-web.pdf (last access: 20 April 2024), 2017. a
Rudnick, D. L.: Ocean research enabled by underwater gliders, Annu. Rev. Mar. Sci., 8, 519–541, https://doi.org/10.1146/annurev-marine-122414-033913, 2016. a
Scheifele, B., Waterman, S., Merckelbach, L., and Carpenter, J.: Measuring the dissipation rate of turbulent kinetic energy in strongly stratified, low-energy environments: a case study from the Arctic Ocean, J. Geophys. Res.-Oceans, 123, 5459–5480, https://doi.org/10.1029/2017JC013731, 2018. a, b
Schultze, L. K. P., Merckelbach, L. M., and Carpenter, J. R.: Turbulence and mixing in a shallow shelf sea from underwater gliders, J. Geophys. Res.-Oceans, 122, 9092–9109, https://doi.org/10.1002/2017JC012872, 2017. a, b, c
Scully, M. E., Geyer, W. R., and Trowbridge, J. H.: The influence of stratification and nonlocal turbulent production on estuarine turbulence: an assessment of turbulence closure with field observations, J. Phys. Oceanogr., 41, 166–185, https://doi.org/10.1175/2010JPO4470.1, 2011. a
Sharples, J., Moore, C. M., and Abraham, E. R.: Internal tide dissipation, mixing, and vertical nitrate flux at the shelf edge of NE New Zealand, J. Geophys. Res.-Oceans, 106, 69–81, https://doi.org/10.1029/2000JC000604, 2001. a
Shih, L. H., Koseff, J. R., Ivey, G. N., and Ferziger, J. H.: Parameterization of turbulent fluxes and scales using homogeneous sheared stably stratified turbulence simulations, J. Fluid Mech., 525, 193–214, https://doi.org/10.1017/S0022112004002587, 2005. a, b, c, d
Simpson, J. H. and Hunter, J. R.: Fronts in the Irish Sea, Nature, 250, 404–406, https://doi.org/10.1038/250404a0, 1974. a
Simpson, J. H. and Sharples, J.: Introduction to the Physical and Biological Oceanography of Shelf Seas, Cambridge University Press, https://doi.org/10.1017/CBO9781139034098, 2012. a
Simpson, J. H., Burchard, H., Fisher, N. R., and Rippeth, T. P.: The semi-diurnal cycle of dissipation in a ROFI: model-measurement comparisons, Cont. Shelf Res., 22, 1615–1628, https://doi.org/10.1016/S0278-4343(02)00025-0, 2002. a, b
Stevens, C. L.: Residual flows in Cook Strait, a large tidally dominated strait, J. Phys. Oceanogr., 44, 1654–1670, https://doi.org/10.1175/jpo-d-13-041.1, 2014. a, b, c
Stevens, C. L., Smith, M. J., Grant, B., Stewart, C. L., and Divett, T.: Tidal energy resource complexity in a large strait: the Karori Rip, Cook Strait, Cont. Shelf Res., 33, 100–109, https://doi.org/10.1016/j.csr.2011.11.012, 2012. a
Thomas, H., Bozec, Y., Elkalay, K., and De Baar, H. J.: Enhanced open ocean storage of CO2 from shelf sea pumping, Science, 304, 1005–1008, https://doi.org/10.1126/science.1095491, 2004. a
Thorpe, S. and Deacon, G.: Turbulence and mixing in a Scottish Loch, Philos. T. R. Soc. S.-A, 286, 125–181, https://doi.org/10.1098/rsta.1977.0112, 1977. a, b
Timko, P. G., Arbic, B. K., Hyder, P., Richman, J. G., Zamudio, L., O'Dea, E., Wallcraft, A. J., and Shriver, J. F.: Assessment of shelf sea tides and tidal mixing fronts in a global ocean model, Ocean Model., 136, 66–84, https://doi.org/10.1016/j.ocemod.2019.02.008, 2019. a
Trowbridge, J. H. and Lentz, S. J.: The bottom boundary layer, Annu. Rev. Mar. Sci., 10, 397–420, https://doi.org/10.1146/annurev-marine-121916-063351, 2018. a
Turner, R., Pirooz, A. A., Flay, R. G., Moore, S., and Revell, M.: Use of high-resolution numerical models and statistical approaches to understand New Zealand historical wind speed and gust climatologies, J. Appl. Meteorol. Clim., 58, 1195–1218, https://doi.org/10.1175/JAMC-D-18-0347.1, 2019. a
Umlauf, L. and Burchard, H.: Second-order turbulence closure models for geophysical boundary layers. A review of recent work, Cont. Shelf Res., 25, 795–827, https://doi.org/10.1016/j.csr.2004.08.004, 2005. a, b
Valcarcel, A., Stevens, C., O'Callaghan, J., Suanda, S., and Grant, B.: Wind and current speeds in Cook Strait, New Zealand, SEANOE [data set], https://doi.org/10.17882/89142, 2022. a, b, c
Vennell, R.: Observations of the phase of tidal currents along a strait, J. Phys. Oceanogr., 28, 1570–1577, https://doi.org/10.1175/1520-0485(1998)028<1570:OOTPOT>2.0.CO;2, 1998a. a, b, c
Vennell, R.: Oscillating barotropic currents along short channels, J. Phys. Oceanogr., 28, 1561–1569, https://doi.org/10.1175/1520-0485(1998)028<1561:OBCASC>2.0.CO;2, 1998b. a, b
Verspecht, F., Rippeth, T. P., Howarth, M. J., Souza, A. J., Simpson, J. H., and Burchard, H.: Processes impacting on stratification in a region of freshwater influence: application to Liverpool Bay, J. Geophys. Res.-Oceans, 114, 1–12, https://doi.org/10.1029/2009JC005475, 2009. a, b, c
Watanabe, M. and Hibiya, T.: Global estimates of the wind-induced energy flux to inertial motions in the surface mixed layer, Geophys. Res. Lett., 29, 2–5, https://doi.org/10.1029/2001GL014422, 2002. a
Waterhouse, A. F., Mackinnon, J. A., Nash, J. D., Alford, M. H., Kunze, E., Simmons, H. L., Polzin, K. L., Laurent, L. C., Sun, O. M., Pinkel, R., Talley, L. D., Whalen, C. B., Huussen, T. N., Carter, G. S., Fer, I., Waterman, S., Naveira Garabato, A. C., Sanford, T. B., and Lee, C. M.: Global patterns of diapycnal mixing from measurements of the turbulent dissipation rate, J. Phys. Oceanogr., 44, 1854–1872, https://doi.org/10.1175/JPO-D-13-0104.1, 2014. a, b
Wesson, J. C. and Gregg, M. C.: Mixing at Camarinal Sill in the Strait of Gibraltar, J. Geophys. Res., 99, 9847–9878, https://doi.org/10.1029/94JC00256, 1994. a
Williams, C., Sharples, J., Mahaffey, C., and Rippeth, T.: Wind-driven nutrient pulses to the subsurface chlorophyll maximum in seasonally stratified shelf seas, Geophys. Res. Lett., 40, 5467–5472, https://doi.org/10.1002/2013GL058171, 2013. a
Wu, K.-T., Tsai, C. W., and Wu, M.-J.: Probabilistic characterization of sweep and ejection events in turbulent flows and its implications on sediment transport, Water Resour. Res., 58, e2021WR030417, https://doi.org/10.1029/2021WR030417, 2022. a
Zeldis, J. R., Hadfield, M. G., and Booker, D. J.: Influence of climate on pelorus sound mussel aquaculture yields: predictive models and underlying mechanisms, Aquacult. Env. Interac., 4, 1–15, https://doi.org/10.3354/aei00066, 2013. a
Zhang, Y. and Tian, J.: Enhanced turbulent mixing induced by strong wind on the South China Sea shelf, Ocean Dynam., 64, 781–796, https://doi.org/10.1007/s10236-014-0710-0, 2014. a, b
Short summary
This paper describes underwater robotic measurements in an energetic strait. The data show how energy is transferred from winds and tides to turbulent processes. Boundary layers of strong turbulence affected the water from surface to seafloor across an unusually deep extent, except when fresher or warmer waters moved into the region. Numerical models revealed that turbulent energy transport allowed boundary layers to interact. This phenomenon may impact the biological structure of coastal seas.
This paper describes underwater robotic measurements in an energetic strait. The data show how...
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