Articles | Volume 22, issue 5
https://doi.org/10.5194/os-22-3145-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-22-3145-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Topographic control of tides in the Ross Sea: eddy-like structures, bottom-trapped waves, and energetics
Yue Xia
School of Atmospheric Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
Zhaomin Wang
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
Craig Stevens
Earth Sciences New Zealand, Wellington, New Zealand
Department of Physics, University of Auckland, Auckland, New Zealand
Chengyan Liu
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
Liangjun Yan
School of Marine Sciences, Sun Yat-sen University, Zhuhai, China
Xianxian Han
School of Marine Sciences, Sun Yat-sen University, Zhuhai, China
Dake Chen
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
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Cited articles
Bell, T. H.: Lee waves in stratified flows with simple harmonic time dependence, J. Fluid Mech., 67, 705–722, https://doi.org/10.1017/S0022112075000560, 1975.
Brearley, J. A., Meredith, M. P., Garabato, A. C. N., Venables, H. J., and Inall, M. E.: Controls on turbulent mixing on the West Antarctic Peninsula shelf, Deep-Sea Res. Pt. II, 139, 18–30, https://doi.org/10.1016/j.dsr2.2017.02.011, 2017.
Brunt, K. M., King, M. A., Fricker, H. A., and MacAyeal, D. R.: Flow of the Ross Ice Shelf, Antarctica, is modulated by the ocean tide, J. Glaciol., 56, 157–161, https://doi.org/10.3189/002214310791190875, 2010.
Castagno, P., Falco, P., Dinniman, M. S., Spezie, G., and Budillon, G.: Temporal variability of the Circumpolar Deep Water inflow onto the Ross Sea continental shelf, J. Marine Syst., 166, 37–49, https://doi.org/10.1016/j.jmarsys.2016.05.006, 2017.
Chelton, D. B., deSzoeke, R. A., Schlax, M. G., El Naggar, K., and Siwertz, N.: Geographical Variability of the First Baroclinic Rossby Radius of Deformation, J. Phys. Oceanogr., 28, 433–460, https://doi.org/10.1175/1520-0485(1998)028<0433:GVOTFB>2.0.CO;2, 1998.
Chen, C. and Beardsley, R. C.: A Numerical Study of Stratified Tidal Rectification over Finite-Amplitude Banks. Part I: Symmetric Banks, J. Phys. Oceanogr., 25, 2090–2110, https://doi.org/10.1175/1520-0485(1995)025<2090:ANSOST>2.0.CO;2, 1995.
Darwin, G. H.: On the Antarctic Tidal Observations of the “Discovery”, in: The Scientific Papers of Sir George Darwin (Original version published 1907): Oceanic Tides and Lunar Disturbance of Gravity, Cambridge University Press, Cambridge, 372–388, https://doi.org/10.1017/CBO9780511703461.014, 2009.
D'Asaro, E. A. and Morison, J. H.: Internal waves and mixing in the Arctic Ocean, Deep-Sea Res., 39, S459–S484, https://doi.org/10.1016/S0198-0149(06)80016-6, 1992.
Doake, C. S. M., Corr, H. F. J., Nicholls, K. W., Gaffikin, A., Jenkins, A., Bertiger, W. I., and King, M. A.: Tide-induced lateral movement of Brunt Ice Shelf, Antarctica, Geophys. Res. Lett., 29, https://doi.org/10.1029/2001GL014606, 2002.
Falahat, S. and Nycander, J.: On the Generation of Bottom – Trapped Internal Tides, J. Phys. Oceanogr., 45, 526–545, https://doi.org/10.1175/JPO-D-14-0081.1, 2015.
Fetterer, F., Knowles, K., Meier, W. N., Savoie, M., and Windnagel, A. K.: Sea ice index, version 3. NSIDC: National Snow and Ice Data Center [data set], updated daily, https://doi.org/10.7265/N5K072F8, 2017.
Flexas, M. M., Schodlok, M. P., Padman, L., Menemenlis, D., and Orsi, A. H.: Role of tides on the formation of the Antarctic Slope Front at the Weddell-Scotia Confluence, J. Geophys. Res.-Oceans, 120, 3658–3680, https://doi.org/10.1002/2014JC010372, 2015.
Fricker, H. A. and Padman, L.: Ice shelf grounding zone structure from ICESat laser altimetry, Geophys. Res. Lett., 33, L15502, https://doi.org/10.1029/2006GL026907, 2006.
Garreau, P. and Maze, R.: Tidal Rectification and Mass Transport over a Shelf Break: A Barotropic Frictionless Model, J. Phys. Oceanogr., 22, 719–731, https://doi.org/10.1175/1520-0485(1992)022<0719:TRAMTO>2.0.CO;2, 1992.
Gilmour, A. E., Macdonald, W. J. P., and van der Hoeven, F. G.: Winter measurements of sea currents in McMurdo Sound, New Zeal. J. Geol. Geop., 5, 778–789, https://doi.org/10.1080/00288306.1962.10417637, 1962.
Gordon, A. L., Zambianchi, E., Orsi, A., Visbeck, M., Giulivi, C. F., Whitworth III, T., and Spezie, G.: Energetic plumes over the western Ross Sea continental slope, Geophys. Res. Lett., 31, L21302, https://doi.org/10.1029/2004GL020785, 2004.
Gordon, A. L., Orsi, A. H., Muench, R., Huber, B. A., Zambianchi, E., and Visbeck, M.: Western Ross Sea continental slope gravity currents, Deep-Sea Res. Pt. II, 56, 796–817, https://doi.org/10.1016/j.dsr2.2008.10.037, 2009.
Guan, X., Ou, H.-W., and Chen, D.: Tidal effect on the dense water discharge, Part 2: A numerical study, Deep-Sea Res. Pt. II, 56, 884–894, https://doi.org/10.1016/j.dsr2.2008.10.028, 2009.
Hallberg, R.: Using a resolution function to regulate parameterizations of oceanic mesoscale eddy effects, Ocean Model., 72, 92–103, https://doi.org/10.1016/j.ocemod.2013.08.007, 2013.
Han, B. and Eden, C.: The energetics of internal tides at the Luzon Ridge, Ocean Dynam., 69, 1009–1022, https://doi.org/10.1007/s10236-019-01297-9, 2019.
Han, X., Stewart, A. L., Chen, D., Liu, X., and Lian, T.: Controls of Topographic Rossby Wave Properties and Downslope Transport in Dense Overflows, J. Phys. Oceanogr., 53, 1805–1820, https://doi.org/10.1175/JPO-D-22-0237.1, 2023.
Han, X., Stewart, A. L., Chen, D., Janout, M., Liu, X., Wang, Z., and Gordon, A. L.: Circum-Antarctic bottom water formation mediated by tides and topographic waves, Nat. Commun., 15, 2049, https://doi.org/10.1038/s41467-024-46086-1, 2024.
Harding, S., Kilcher, L., and Thomson, J.: Turbulence measurements from compliant moorings. Part I: Motion characterization, J. Atmos. Ocean. Tech., 34, 1235–1247, https://doi.org/10.1175/JTECH-D-16-0189.1, 2017.
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on single levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.adbb2d47, 2023.
Hiron, L., Schönau, M. C., Raja, K. J., Chassignet, E. P., Buijsman, M. C., Arbic, B. K., Bozec, A., Coelho, E. F., and Solano, M. S.: The influence of vertical resolution on internal tide energetics and subsequent effects on underwater acoustic propagation, J. Adv. Model. Earth Sy., 17, e2024MS004389, https://doi.org/10.1029/2024MS004389, 2025.
Holland, D. M. and Jenkins, A.: Modeling Thermodynamic Ice–Ocean Interactions at the Base of an Ice Shelf, J. Phys. Oceanogr., 29, 1787–1800, https://doi.org/10.1175/1520-0485(1999)029<1787:MTIOIA>2.0.CO;2, 1999.
Howard, S. L., Erofeeva, S., and Padman, L.: CATS2008: Circum-Antarctic Tidal Simulation version 2008, U. S. Antarctic Program (USAP) Data Center [data set], https://doi.org/10.15784/601235, 2019.
Jacobs, S. S.: Bottom water production and its links with the thermohaline circulation, Antarct. Sci., 16, 427–437, https://doi.org/10.1017/S095410200400224X, 2004.
Kalvaitis, A. N.: Effects of vertical motion on vector averaging (Savonius rotor) and electromagnetic type current meters, NOAA Tech. Memo., NOASIC-TM-OX3/74ERO1, National Ocean Survey, NOAA, U. S. Department of Commerce, Washington, D. C., 38 pp., https://repository.library.noaa.gov/view/noaa/67381 (last access: 25 September 2026), 1974.
Kang, D. and Fringer, O.: Energetics of Barotropic and Baroclinic Tides in the Monterey Bay Area, J. Phys. Oceanogr., 42, 272–290, https://doi.org/10.1175/JPO-D-11-039.1, 2012.
Langlois, G. and Maze, R.: Influence of mooring line motion on current measurements, Deep-Sea Res., 37, 1363–1374, https://doi.org/10.1016/0198-0149(90)90048-Z, 1990.
Legrésy, B., Wendt, A., Tabacco, I., Rémy, F., and Dietrich, R.: Influence of tides and tidal current on Mertz Glacier, Antarctica, J. Glaciol., 50, 427–435, https://doi.org/10.3189/172756504781829828, 2004.
Liu, C., Wang, Z., Liang, X., Li, X., Cheng, C., Wu, Y., Liu, Y., Yuan, X., and Yu, X.: Observed Tidal Currents in Prydz Bay and Their Contribution to the Amery Ice Shelf Basal Melting, OLAR, 2, 0020, https://doi.org/10.34133/olar.0020, 2023.
Liu, Y., Liu, C., Wang, Z., Yan, L., Haigh, M., Han, X., Liu, K., Xia, Y., Zeng, J., Li, X., and Li, X.: Spatial characteristics and dynamic mechanisms of the Antarctic Slope Current in the Ross Sea, J. Geophys. Res.-Oceans, 130, e2025JC023219, https://doi.org/10.1029/2025JC023219, 2025.
Llewellyn Smith, S. G. and Young, W. R.: Conversion of the Barotropic Tide, J. Phys. Oceanogr., 32, 1554–1566, https://doi.org/10.1175/1520-0485(2002)032<1554:COTBT>2.0.CO;2, 2002.
Losch, M., Menemenlis, D., Campin, J.-M., Heimbach, P., and Hill, C.: On the formulation of sea-ice models. Part 1: Effects of different solver implementations and parameterizations, Ocean Model., 33, 129–144, https://doi.org/10.1016/j.ocemod.2009.12.008, 2010.
MacAyeal, D. R.: Thermohaline circulation below the Ross Ice Shelf: A consequence of tidally induced vertical mixing and basal melting, J. Geophys. Res.-Oceans, 89, 597–606, https://doi.org/10.1029/JC089IC01P00597, 1984a.
MacAyeal, D. R.: Numerical simulations of the Ross Sea tides, J. Geophys. Res.-Oceans, 89, 607–615, https://doi.org/10.1029/jc089ic01p00607, 1984b.
Marshall, J., Adcroft, A., Hill, C., Perelman, L., and Heisey, C.: A finite-volume, incompressible Navier Stokes model for studies of the ocean on parallel computers, J. Geophys. Res.-Oceans, 102, 5753–5766, https://doi.org/10.1029/96jc02775, 1997.
Mazloff, M. R., Heimbach, P., and Wunsch, C.: An eddy-permitting southern ocean state estimate, J. Phys. Oceanogr., 40, 880–899, https://doi.org/10.1175/2009jpo4236.1, 2010.
McWilliams, J. C., Molemaker, M. J., and Damien, P.: Baroclinic sea level, J. Adv. Model. Earth Sy., 16, e2023MS003977, https://doi.org/10.1029/2023MS003977, 2024.
Müller, M.: On the space- and time-dependence of barotropic-to-baroclinic tidal energy conversion, Ocean Model., 72, 242–252, https://doi.org/10.1016/j.ocemod.2013.09.007, 2013.
Musgrave, R. C., MacKinnon, J. A., Pinkel, R., Waterhouse, A. F., Nash, J., and Kelly, S. M.: The Influence of Subinertial Internal Tides on Near-Topographic Turbulence at the Mendocino Ridge: Observations and Modeling, J. Phys. Oceanogr., 47, 2139–2154, https://doi.org/10.1175/JPO-D-16-0278.1, 2017.
Niwa, Y. and Hibiya, T.: Estimation of baroclinic tide energy available for deep ocean mixing based on three-dimensional global numerical simulations, J. Oceanogr., 67, 493–502, https://doi.org/10.1007/s10872-011-0052-1, 2011.
Opel, L., Schindelegger, M., and Ray, R. D.: A likely role for stratification in long-term changes of the global ocean tides, Commun. Earth Environ., 5, 261, https://doi.org/10.1038/s43247-024-01432-5, 2024.
Orsi, A. H., Johnson, G. C., and Bullister, J. L.: Circulation, mixing, and production of Antarctic Bottom Water, Prog. Oceanogr., 43, 55–109, https://doi.org/10.1016/S0079-6611(99)00004-X, 1999.
Ou, H.-W., Guan, X., and Chen, D.: Tidal effect on the dense water discharge, Part 1: Analytical model, Deep-Sea Res. Pt. II, 56, 874–883, https://doi.org/10.1016/j.dsr2.2008.10.031, 2009.
Padman, L., Fricker, H. A., Coleman, R., Howard, S., and Erofeeva, L.: A new tide model for the Antarctic ice shelves and seas, Ann. Glaciol., 34, 247–254, https://doi.org/10.3189/172756402781817752, 2002.
Padman, L., Erofeeva, S., and Joughin, I.: Tides of the Ross Sea and Ross Ice Shelf cavity, Antarct. Sci., 15, 31–40, https://doi.org/10.1017/S0954102003001032, 2003.
Padman, L., Howard, S. L., Orsi, A. H., and Muench, R. D.: Tides of the northwestern Ross Sea and their impact on dense outflows of Antarctic Bottom Water, Deep-Sea Res. Pt. II, 56, 818–834, https://doi.org/10.1016/j.dsr2.2008.10.026, 2009.
Padman, L., Siegfried, M. R., and Fricker, H. A.: Ocean tide influences on the Antarctic and Greenland ice sheets, Rev. Geophys., 56, 142–184, https://doi.org/10.1002/2016RG000546, 2018.
Pairaud, I. L., Auclair, F., Marsaleix, P., Lyard, F., and Pichon, A.: Dynamics of the semi-diurnal and quarter-diurnal internal tides in the Bay of Biscay. Part 2: Baroclinic tides, Cont. Shelf Res., 30, 253–269, https://doi.org/10.1016/j.csr.2009.10.008, 2010.
Pawlowicz, R., Beardsley, B., and Lentz, S.: Classical tidal harmonic analysis including error estimates in MATLAB using T_TIDE, Comput. Geosci., 28, 929–937, https://doi.org/10.1016/S0098-3004(02)00013-4, 2002.
Pérenne, N., Pichon, A., and Huet, P.: A numerical study of stratified tidal rectification, Cont. Shelf Res., 20, 37–68, https://doi.org/10.1016/S0278-4343(99)00057-6, 2000.
Pillsbury, R. D. and Jacobs, S. S.: Preliminary observations from long-term current meter moorings near the Ross Ice Shelf, Antarctica, Antarct. Res. Ser., 87–107, https://doi.org/10.1029/AR043p0087, 1985.
Ray, R.: A preliminary tidal analysis of ICESat laser altimetry: Southern Ross Ice Shelf, Geophys. Res. Lett., 35, L02505, https://doi.org/10.1029/2007GL032125, 2008.
Riedel, B., Nixdorf, U., Heinert, M., Eckstaller, A., and Mayer, C.: The response of the Ekströmisen (Antarctica) grounding zone to tidal forcing, Ann. Glaciol., 29, 239–242, https://doi.org/10.3189/172756499781821247, 1999.
Robertson, R.: Baroclinic and barotropic tides in the Ross Sea, Antarct. Sci., 17, 107–120, https://doi.org/10.1017/S0954102005002506, 2005.
Robertson, R.: Tidally induced increases in melting of Amundsen Sea ice shelves, J. Geophys. Res.-Oceans, 118, 3138–3145, https://doi.org/10.1002/jgrc.20236, 2013.
Robertson, R., Beckmann, A., and Hellmer, H.: M2 tidal dynamics in the Ross Sea, Antarct. Sci., 15, 41–46, https://doi.org/10.1017/S0954102003001044, 2003.
Roos, P. C. and de Swart, H. E.: Tides in Coastal Seas. Influence of Topography and Bottom Friction, in: The Mathematics of Marine Modelling: Water, Solute and Particle Dynamics in Estuaries and Shallow Seas, edited by: Schuttelaars, H., Heemink, A., and Deleersnijder, E., Springer, 73–102, https://doi.org/10.1007/978-3-031-09559-7, 2022.
Schaffer, J. and Timmermann, R.: Greenland and Antarctic ice sheet topography, cavity geometry, and global bathymetry (RTopo-2), links to NetCDF files, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.856844, 2016.
Si, Y., Stewart, A. L., and Eisenman, I.: Coupled Ocean–Sea Ice Dynamics of the Antarctic Slope Current Driven by Topographic Eddy Suppression and Sea Ice Momentum Redistribution, J. Phys. Oceanogr., 52, 1563–1589, https://doi.org/10.1175/JPO-D-21-0142.1, 2022.
Si, Y., Stewart, A. L., and Eisenman, I.: Heat transport across the Antarctic Slope Front controlled by cross-slope salinity gradients, Sci. Adv., 9, eadd7049, https://doi.org/10.1126/sciadv.add7049, 2023.
Song, P. and Chen, X.: Investigation of the Internal Tides in the Northwest Pacific Ocean Considering the Background Circulation and Stratification, J. Phys. Oceanogr., 50, 3165–3188, https://doi.org/10.1175/JPO-D-19-0177.1, 2020.
Stewart, A. L., Klocker, A., and Menemenlis, D.: Circum-Antarctic shoreward heat transport derived from an eddy- and tide-resolving simulation, Geophys. Res. Lett., 45, 834–845, https://doi.org/10.1002/2017GL075677, 2018.
Stewart, A. L., Klocker, A., and Menemenlis, D.: Acceleration and Overturning of the Antarctic Slope Current by Winds, Eddies, and Tides, J. Phys. Oceanogr., 49, 2043–2074, https://doi.org/10.1175/JPO-D-18-0221.1, 2019.
Susanto, R. D. and Gordon, A. L.: Velocity and transport of the Makassar Strait throughflow, J. Geophys. Res.-Oceans, 110, C01005, https://doi.org/10.1029/2004JC002425, 2005.
Tanaka, Y.: Energy Conversion Rate from Subinertial Surface Tides to Internal Tides, J. Phys. Oceanogr., 53, 1355–1374, https://doi.org/10.1175/JPO-D-22-0201.1, 2023.
Varlamov, S. M., Guo, X., Miyama, T., Ichikawa, K., Waseda, T., and Miyazawa, Y.: M2 baroclinic tide variability modulated by the ocean circulation south of Japan, J. Geophys. Res.-Oceans, 120, 3681–3710, https://doi.org/10.1002/2015JC010739, 2015.
Verdy, A. and Mazloff, M. R.: A data assimilating model for estimating Southern Ocean biogeochemistry, J. Geophys. Res.-Oceans, 122, 6968–6988, https://doi.org/10.1002/2016jc012650, 2017.
Wang, C., Liu, Z., and Lin, H.: A Simple Approach for Disentangling Vortical and Wavy Motions of Oceanic Flows, J. Phys. Oceanogr., 53, 1237–1249, https://doi.org/10.1175/JPO-D-22-0148.1, 2023.
Wang, D. and Mooers, C. N. K.: Coastal-Trapped Waves in a Continuously Stratified Ocean, J. Phys. Oceanogr., 6, 853–863, https://doi.org/10.1175/1520-0485(1976)006<0853:CTWIAC>2.0.CO;2, 1976.
Wang, Q., Danilov, S., Hellmer, H., and Schröter, J.: Overflow dynamics and bottom water formation in the western Ross Sea: The influence of tides, J. Geophys. Res.-Oceans, 115, C10054, https://doi.org/10.1029/2010JC006189, 2010.
Whitworth III, T. and Orsi, A. H.: Antarctic Bottom Water production and export by tides in the Ross Sea, Geophys. Res. Lett., 33, L12609, https://doi.org/10.1029/2006GL026357, 2006.
Williams, R. T. and Robinson, E. S.: The ocean tide in the southern Ross Sea, J. Geophys. Res.-Oceans, 85, 6689–6696, https://doi.org/10.1029/JC085IC11P06689, 1980.
Yan, L., Wang, Z., Liu, C., Wu, Y., Qin, Q., Sun, C., Qian, J., and Zhang, L.: The salinity budget of the ross Sea Continental Shelf, Antarctica, J. Geophys. Res.-Oceans, 128, e2022JC018979, https://doi.org/10.1029/2022jc018979, 2023.
Zhang, J. and Hibler, W. D.: On an efficient numerical method for modeling sea ice dynamics, J. Geophys. Res.-Oceans, 102, 8691–8702, https://doi.org/10.1029/96jc03744, 1997.
Zhang, J. and Rothrock, D.: Modeling Arctic sea ice with an efficient plastic solution, J. Geophys. Res.-Oceans, 105, 3325–3338, https://doi.org/10.1029/1999jc900320, 2000.
Zhang, Z., Chen, X., and Pohlmann, T.: The Impact of Fortnightly Stratification Variability on the Generation of Baroclinic Tides in the Luzon Strait, J. Mar. Sci. Eng., 9, 703, https://doi.org/10.3390/jmse9070703, 2021.
Short summary
Around Antarctica, tides strongly influence ice shelves through both dynamic and thermodynamic processes, and also help form dense bottom water that drives global ocean circulation. Using a regional model of the Ross Sea, we identified three eddy-like structures along the slope that control local water and heat transport, which potentially contributes to ice shelf melting.
Around Antarctica, tides strongly influence ice shelves through both dynamic and thermodynamic...