Articles | Volume 17, issue 3
https://doi.org/10.5194/tc-17-1107-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-1107-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Mar 2023
Research article |
| 06 Mar 2023
| 06 Mar 2023
The response of sea ice and high-salinity shelf water in the Ross Ice Shelf Polynya to cyclonic atmosphere circulations
Xiaoqiao Wang
School of Oceanography, Shanghai Jiao Tong University, 200030, Shanghai, China
School of Oceanography, Shanghai Jiao Tong University, 200030, Shanghai, China
Key Laboratory for Polar Science, Polar Research Institute of China, Ministry of Natural Resources, 200136, Shanghai, China
Michael S. Dinniman
Center for Coastal Physical Oceanography, Old Dominion University, Norfolk, VA 23529, USA
Petteri Uotila
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, 00014, Helsinki, Finland
Xichen Li
International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029, Beijing, China
Meng Zhou
School of Oceanography, Shanghai Jiao Tong University, 200030, Shanghai, China
Key Laboratory for Polar Science, Polar Research Institute of China, Ministry of Natural Resources, 200136, Shanghai, China
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Cited articles
Ackley, S. F., Stammerjohn, S., Maksym, T., Smith, M., Cassano, J., Guest,
P., Tison, J. L., Delille, B., Loose, B., Sedwick, P., Depace, L., Roach,
L., and Parno, J.: Sea-ice production and air/ice/ocean/biogeochemistry
interactions in the Ross Sea during the PIPERS 2017 autumn field campaign,
Ann. Glaciol., 61, 181–195, https://doi.org/10.1017/aog.2020.31, 2020.
Arndt, J. E., Schenke, H. W., Jakobsson, M., Nitsche, F. O., Buys, G.,
Goleby, B., Rebesco, M., Bohoyo, F., Hong, J., Black, J., Greku, R.,
Udintsev, G., Barrios, F., Reynoso-Peralta, W., Taisei, M., and Wigley, R.:
The International Bathymetric Chart of the Southern Ocean (IBCSO) Version
1.0–A new bathymetric compilation covering circum-Antarctic waters, Geophys. Res. Lett., 40, 3111–3117, https://doi.org/10.1002/grl.50413, 2013.
Arrigo, K. R. and van Dijken, G. L.: Phytoplankton dynamics within 37
Antarctic coastal polynya systems, J. Geophys. Res. Ocean., 108, 3271,
https://doi.org/10.1029/2002JC001739, 2003.
Arrigo, K. R., van Dijken, G., and Long, M.: Coastal Southern Ocean: A
strong anthropogenic CO2 sink, Geophys. Res. Lett., 35, L21602,
https://doi.org/10.1029/2008GL035624, 2008.
Assmann, K., Hellmer, H. H., and Beckmann, A.: Seasonal variation in
circulation and water mass distribution on the Ross Sea continental shelf, Antarct. Sci., 15, 3–11, https://doi.org/10.1017/S0954102003001007, 2003.
Barthélemy, A., Goosse, H., Mathiot, P., and Fichefet, T.: Inclusion of
a katabatic wind correction in a coarse-resolution global coupled climate
model, Ocean Model., 48, 45–54, https://doi.org/10.1016/j.ocemod.2012.03.002, 2012.
Berliand, M. E.: Determining the net long-wave radiation of the earth with
consideration of the effect of cloudiness, Izv. Akad. Nauk SSSR, Ser.
Geofiz., 1, 64–78, 1952.
Bromwich, D. H.: Mesoscale cyclogenesis over the southwestern Ross Sea
linked to strong katabatic winds, Mon. Weather Rev., 119, 1736–1753, 1991.
Bromwich, D. H., Carrasco, J. F., Liu, Z., and Tzeng, R.-Y.: Hemispheric
atmospheric variations and oceanographic impacts associated with katabatic
surges across the Ross Ice Shelf, Antarctica, J. Geophys. Res., 98, 13045–13062, https://doi.org/10.1029/93jd00562, 1993.
Bromwich, D., Liu, Z., Rogers, A. N., and Van Woert, M. L.: Winter Atmospheric Forcing of the Ross Sea Polynya, in: Ocean, Ice, and Atmosphere: Interactions at the Antarctic Continental Margin, edited by: Jacobs, S. S. and Weiss, R. F., American Geophysical Union (AGU), 75, 101–133,
https://doi.org/10.1029/AR075p0101, 1998.
Bromwich, D. H., Monaghan, A. J., Manning, K. W., and Powers, J. G.:
Real-time forecasting for the Antarctic: An evaluation of the Antarctic
Mesoscale Prediction System (AMPS), Mon. Weather Rev., 133, 579–603,
https://doi.org/10.1175/MWR-2881.1, 2005.
Budgell, W. P.: Numerical simulation of ice-ocean variability in the Barents
Sea region, Ocean Dynam., 55, 370–387, https://doi.org/10.1007/s10236-005-0008-3, 2005.
Budillon, G., Pacciaroni, M., Cozzi, S., Rivaro, P., Catalano, G., Ianni,
C., and Cantoni, C.: An optimum multiparameter mixing analysis of the shelf
waters in the Ross Sea, Antarct. Sci., 15, 105–118,
https://doi.org/10.1017/S095410200300110X, 2003.
Carrasco, J. F. and Bromwich, D. H.: Mesoscale cyclogenesis dynamics over
the southwestern Ross Sea, Antarctica, J. Geophys. Res., 98, 12973–12995, https://doi.org/10.1029/92jd02821, 1993.
Carrasco, J. F., Bromwich, D. H., and Monaghan, A. J.: Distribution and
characteristics of mesoscale cyclones in the Antarctic: Ross Sea eastward to
the Weddell Sea, Mon. Weather Rev., 131, 289–301,
https://doi.org/10.1175/1520-0493(2003)131<0289:DACOMC>2.0.CO;2, 2003.
Castagno, P., Capozzi, V., DiTullio, G. R., Falco, P., Fusco, G., Rintoul,
S. R., Spezie, G., and Budillon, G.: Rebound of shelf water salinity in the
Ross Sea, Nat. Commun., 10, 5441, https://doi.org/10.1038/s41467-019-13083-8, 2019.
Cheng, Z., Pang, X., Zhao, X., and Stein, A.: Heat flux sources analysis to
the Ross Ice Shelf Polynya ice production time series and the impact of wind
forcing, Remote Sens., 11, 8–11, https://doi.org/10.3390/rs11020188, 2019.
Chenoli, S. N., Turner, J., and Samah, A. A.: A strong wind event on the
ross ice shelf, antarctica: A case study of scale interactions, Mon. Weather
Rev., 143, 4163–4180, https://doi.org/10.1175/MWR-D-15-0002.1, 2015.
Comiso, J. C.: Bootstrap sea ice concentrations from Nimbus-7 SMMR and DMSP
SSM/I-SSMIS, Version 3, NASA National Snow and Ice Data Center [data set], Boulder, https://doi.org/10.5067/7Q8HCCWS4I0R, 2017.
Comiso, J. C. and Gordon, A. L.: Interannual variability in summer sea ice
minimum, coastal polynyas, and bottom water formation in the Weddell Sea, in:
Antarctic Sea Ice: Physical Processes, Interactions, and Variability, edited by: Jeffries, M., American Geophysical Union, Washington, DC, 74, 293–315, 1998.
Condron, A., Bigg, G. R., and Renfrew, I. A.: Polar mesoscale cyclones in
the northeast Atlantic: Comparing climatologies from ERA-40 and satellite
imagery, Mon. Weather Rev., 134, 1518–1533, https://doi.org/10.1175/MWR3136.1, 2006.
Dale, E. R., McDonald, A. J., Coggins, J. H. J., and Rack, W.: Atmospheric forcing of sea ice anomalies in the Ross Sea polynya region, The Cryosphere, 11, 267–280, https://doi.org/10.5194/tc-11-267-2017, 2017.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis: configuration and performance of the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011.
Ding, Y., Cheng, X., Li, X., Shokr, M., Yuan, J., Yang, Q., and Hui, F.:
Specific Relationship between the Surface Air Temperature and the Area of
the Terra Nova Bay Polynya, Antarctica, Adv. Atmos. Sci., 37, 532–544,
https://doi.org/10.1007/s00376-020-9146-2, 2020.
Dinniman, M. S., Klinck, J. M., and Smith, W. O.: A model study of
Circumpolar Deep Water on the West Antarctic Peninsula and Ross Sea
continental shelves, Deep-Sea Res. Pt. II, 58, 1508–1523, https://doi.org/10.1016/j.dsr2.2010.11.013, 2011.
Dinniman, M. S., Klinck, J. M., Bai, L. S., Bromwich, D. H., Hines, K. M.,
and Holland, D. M.: The effect of atmospheric forcing resolution on delivery
of ocean heat to the antarctic floating ice shelves, J. Climate, 28,
6067–6085, https://doi.org/10.1175/JCLI-D-14-00374.1, 2015.
Dinniman, M. S., Klinck, J. M., Hofmann, E. E., and Smith, W. O.: Effects
of projected changes in wind, atmospheric temperature, and freshwater inflow
on the Ross Sea, J. Climate, 31, 1619–1635, https://doi.org/10.1175/JCLI-D-17-0351.1, 2018.
Fairall, C. W., Bradley, E. F., Hare, J. E., Grachev, A. A., and Edson, J.
B.: Bulk Parameterization of Air–Sea Fluxes: Updates and Verification for
the COARE Algorithm, J. Climate, 16, 571–591,
https://doi.org/10.1175/1520-0442(2003)016<0571:BPOASF>2.0.CO;2, 2003.
Fretwell, P., Pritchard, H. D., Vaughan, D. G., Bamber, J. L., Barrand, N. E., Bell, R., Bianchi, C., Bingham, R. G., Blankenship, D. D., Casassa, G., Catania, G., Callens, D., Conway, H., Cook, A. J., Corr, H. F. J., Damaske, D., Damm, V., Ferraccioli, F., Forsberg, R., Fujita, S., Gim, Y., Gogineni, P., Griggs, J. A., Hindmarsh, R. C. A., Holmlund, P., Holt, J. W., Jacobel, R. W., Jenkins, A., Jokat, W., Jordan, T., King, E. C., Kohler, J., Krabill, W., Riger-Kusk, M., Langley, K. A., Leitchenkov, G., Leuschen, C., Luyendyk, B. P., Matsuoka, K., Mouginot, J., Nitsche, F. O., Nogi, Y., Nost, O. A., Popov, S. V., Rignot, E., Rippin, D. M., Rivera, A., Roberts, J., Ross, N., Siegert, M. J., Smith, A. M., Steinhage, D., Studinger, M., Sun, B., Tinto, B. K., Welch, B. C., Wilson, D., Young, D. A., Xiangbin, C., and Zirizzotti, A.: Bedmap2: improved ice bed, surface and thickness datasets for Antarctica, The Cryosphere, 7, 375–393, https://doi.org/10.5194/tc-7-375-2013, 2013.
Gordon, A. L. and Comiso, J. C.: Polynyas in the southern ocean, Sci. Am., 258, 90–97, 1988.
Haidvogel, D. B., Arango, H., Budgell, W. P., Cornuelle, B. D., Curchitser,
E., Di Lorenzo, E., Fennel, K., Geyer, W. R., Hermann, A. J., Lanerolle, L.,
Levin, J., McWilliams, J. C., Miller, A. J., Moore, A. M., Powell, T. M.,
Shchepetkin, A. F., Sherwood, C. R., Signell, R. P., Warner, J. C., and
Wilkin, J.: Ocean forecasting in terrain-following coordinates: Formulation
and skill assessment of the Regional Ocean Modeling System, J. Comput.
Phys., 227, 3595–3624, https://doi.org/10.1016/j.jcp.2007.06.016, 2008.
Häkkinen, S. and Mellor, G. L.: Modeling the seasonal variability of a
coupled Arctic ice-ocean system, J. Geophys. Res.-Oceans, 97, 20285–20304,
https://doi.org/10.1029/92JC02037, 1992.
Heinemann, G.: Mesoscale Vortices in the Weddell Sea Region (Antarctica),
Mon. Weather Rev., 118, 779–793,
https://doi.org/10.1175/1520-0493(1990)118<0779:MVITWS>2.0.CO;2, 1990.
Herraiz-Borreguero, L., Church, J. A., Allison, I., Peña-Molino, B., Coleman, R., Tomczak, M., and Craven, M.: Basal melt, seasonal water mass transformation, ocean current variability, and deep convection processes along the Amery Ice Shelf calving front, East Antarctica, J. Geophys. Res.-Oceans, 121, 4946–4965, https://doi.org/10.1002/2016JC011858, 2016.
Holland, D. M. and Jenkins, A.: Modeling thermodynamic ice-ocean interactions at the base of an ice shelf, 29, 1787–1800, J. Phys. Oceanogr., 29, 1787–1800, https://doi.org/10.1175/1520-0485(1999)029<1787:mtioia>2.0.co;2, 1999.
Hoppema, M. and Anderson, L. G.: Chapter 6: Biogeochemistry of Polynyas and Their Role in Sequestration of Anthropogenic Constituents, in: Polynyas: Windows to the World, Elsevier Oceanography Series 74, edited by:
Smith Jr., W. and Barber, D., Elsevier, 193–221, https://doi.org/10.1016/S0422-9894(06)74006-5, 2007.
Hunke, E. C.: Viscous–Plastic Sea Ice Dynamics with the EVP Model:
Linearization Issues, J. Comput. Phys., 170, 18–38,
https://doi.org/10.1006/jcph.2001.6710, 2001.
Hunke, E. C. and Dukowicz, J. K.: An Elastic–Viscous–Plastic Model for
Sea Ice Dynamics, J. Phys. Oceanogr., 27, 1849–1867,
https://doi.org/10.1175/1520-0485(1997)027<1849:AEVPMF>2.0.CO;2, 1997.
Jacobs, S. S., Amos, A. F., and Bruchhausen, P. M.: Ross sea oceanography
and antarctic bottom water formation, Deep Sea Research and Oceanographic Abstracts, 17, 935–962, https://doi.org/10.1016/0011-7471(70)90046-X, 1970.
Jacobs, S. S., Fairbanks, R. G., and Horibe, Y.: Origin and Evolution of
Water Masses Near the Antarctic continental Margin: Evidence from
Jendersie, S., Williams, M. J. M., Langhorne, P. J., and Robertson, R.: The
Density-Driven Winter Intensification of the Ross Sea Circulation, J.
Geophys. Res.-Oceans, 123, 7702–7724, https://doi.org/10.1029/2018JC013965, 2018.
Kern, S.: Wintertime Antarctic coastal polynya area: 1992–2008, Geophys.
Res. Lett., 36, L14501, https://doi.org/10.1029/2009GL038062, 2009.
Knuth, S. L. and Cassano, J. J.: An analysis of near-surface winds, air
temperature, and cyclone activity in Terra Nova Bay, Antarctica, from 1993
to 2009, J. Appl. Meteorol. Clim., 50, 662–680, https://doi.org/10.1175/2010JAMC2507.1, 2011.
Kusahara, K., Williams, G. D., Tamura, T., Massom, R., and Hasumi, H.: Dense
shelf water spreading from Antarctic coastal polynyas to the deep Southern
Ocean: A regional circumpolar model study, J. Geophys. Res.-Oceans, 122, 6238–6253,
https://doi.org/10.1002/2017JC012911, 2017.
Large, W. G., McWilliams, J. C., and Doney, S. C.: Oceanic vertical mixing: A
review and a model with nonlocal boundary layer parameterization, Rev.
Geophys., 32, 363–403, https://doi.org/10.1029/94RG01872, 1994.
Lutgens, F. K. and Tarbuck, E. J.: The atmosphere, 8th edn., Prentice Hall,
New York, ISBN-10: 0130879576, ISBN-13: 978-0130879578, 2001.
Markus, T. and Cavalieri, D. J.: An enhancement of the NASA Team sea ice
algorithm, IEEE T. Geosci. Remote, 38, 1387–1398, https://doi.org/10.1109/36.843033, 2000.
Massom, R. A., Harris, P. T., Michael, K. J., and Potter, M. J.: The
distribution and formative processes of latent-heat polynyas in East
Antarctica, Ann. Glaciol., 27, 420–426,
https://doi.org/10.3189/1998AoG27-1-420-426, 1998.
Mathiot, P., Barnier, B., Gallée, H., Molines, J. M., Le Sommer, J.,
Juza, M., and Penduff, T.: Introducing katabatic winds in global ERA40
fields to simulate their impacts on the Southern Ocean and sea-ice, Ocean
Model., 35, 146–160, https://doi.org/10.1016/j.ocemod.2010.07.001, 2010.
Mathiot, P., Jourdain, N. C., Barnier, B., Gallée, H., Molines, J. M.,
Le Sommer, J., and Penduff, T.: Sensitivity of coastal polynyas and
high-salinity shelf water production in the Ross Sea, Antarctica, to the
atmospheric forcing, Ocean Dynam., 62, 701–723, https://doi.org/10.1007/s10236-012-0531-y, 2012.
Mellor, G. L. and Kantha, L.: An ice-ocean coupled model, J. Geophys. Res.-Oceans, 94, 10937–10954, https://doi.org/10.1029/JC094iC08p10937, 1989.
Morales Maqueda, M. A., Willmott, A. J., and Biggs, N. R. T.: Polynya
dynamics: A review of observations and modeling, Rev. Geophys., 42, RG1004,
https://doi.org/10.1029/2002RG000116, 2004.
Murray, R. J. and Simmonds, I.: A numerical scheme for tracking cyclone
centres from digital data. Part I: development and operation of the scheme,
Aust. Meteorol. Mag., 39, 155–166, 1991.
Nakata, K., Ohshima, K. I., and Nihashi, S.: Mapping of Active Frazil for
Antarctic Coastal Polynyas, With an Estimation of Sea-Ice Production, Geophys. Res. Lett., 48, e2020GL091353, https://doi.org/10.1029/2020GL091353, 2021.
Nihashi, S. and Ohshima, K. I.: Circumpolar Mapping of Antarctic Coastal
Polynyas and Landfast Sea Ice: Relationship and Variability, J. Climate, 28,
3650–3670, https://doi.org/10.1175/JCLI-D-14-00369.1, 2015.
Nihashi, S., Ohshima, K. I., and Tamura, T.: Sea-Ice Production in Antarctic
Coastal Polynyas Estimated From AMSR2 Data and Its Validation Using AMSR-E
and SSM/I-SSMIS Data, IEEE J. Sel. Top. Appl., 10, 3912–3922, https://doi.org/10.1109/JSTARS.2017.2731995, 2017.
Ohshima, K. I., Fukamachi, Y., Williams, G. D., Nihashi, S., Roquet, F.,
Kitade, Y., Tamura, T., Hirano, D., Herraiz-Borreguero, L., Field, I.,
Hindell, M., Aoki, S., and Wakatsuchi, M.: Antarctic Bottom Water production
by intense sea-ice formation in the Cape Darnley polynya, Nat. Geosci., 6,
235–240, https://doi.org/10.1038/ngeo1738, 2013.
Orsi, A. H. and Wiederwohl, C. L.: A recount of Ross Sea waters, Deep-Sea Res. Pt. II, 56, 778–795, https://doi.org/10.1016/j.dsr2.2008.10.033, 2009.
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.
Parish, T. R. and Cassano, J. J.: The Role of Katabatic Winds on the
Antarctic Surface Wind Regime, Mon. Weather Rev., 131, 317–333,
https://doi.org/10.1175/1520-0493(2003)131<0317:TROKWO>2.0.CO;2, 2003.
Powers, J. G., Monaghan, A. J., Cayette, A. M., Bromwich, D. H., Kuo,
Y.-H., and Manning, K. W.: Real-Time Mesoscale Modeling Over Antarctica: The
Antarctic Mesoscale Prediction System: The Antarctic Mesoscale Prediction
System, B. Am. Meteorol. Soc., 84, 1533–1546,
https://doi.org/10.1175/BAMS-84-11-1533, 2003.
Rossow, W. B., Walker, A. W., Beuschel, D. E., and Roiter, M. D.:
International Satellite Cloud Climatology Project (ISCCP) documentation of
new cloud datasets, World Meteorological Organization, WMO/TD-737, 115 pp.,
https://isccp.giss.nasa.gov/pub/documents/d-doc.pdf (last access: 7 June 2022), 1996.
Saunders, P. M., Coward, A. C., and de Cuevas, B. A.: Circulation of the
Pacific Ocean seen in a global ocean model: Ocean Circulation and Climate
Advanced Modelling project (OCCAM), J. Geophys. Res.-Ocean., 104, 18281–18299, https://doi.org/10.1029/1999JC900091, 1999.
Seefeldt, M. W. and Cassano, J. J.: An analysis of low-level jets in the
greater ross ice shelf region based on numerical simulations, Mon. Weather Rev., 136, 4188–4205, https://doi.org/10.1175/2008MWR2455.1, 2008.
Shchepetkin, A. F. and McWilliams, J. C.: Correction and commentary for
“Ocean forecasting in terrain-following coordinates: Formulation and skill
assessment of the regional ocean modeling system” by Haidvogel et al., J.
Comp. Phys. 227, 3595–3624, J. Comput. Phys., 228, 8985–9000,
https://doi.org/10.1016/j.jcp.2009.09.002, 2009.
Simmonds, I., Keay, K., and Lim, E. P.: Synoptic activity in the seas around
Antarctica, Mon. Weather Rev., 131, 272–288,
https://doi.org/10.1175/1520-0493(2003)131<0272:SAITSA>2.0.CO;2, 2003.
Stern, A. A., Dinniman, M. S., Zagorodnov, V., Tyler, S. W., and Holland,
D. M.: Intrusion of warm surface water beneath the McMurdo Ice Shelf,
Antarctica, J. Geophys. Res.-Oceans, 118, 7036–7048,
https://doi.org/10.1002/2013JC008842, 2013.
Stössel, A., Zhang, Z., and Vihma, T.: The effect of alternative
real-time wind forcing on Southern Ocean sea ice simulations, J. Geophys.
Res.-Oceans, 116, C11021, https://doi.org/10.1029/2011JC007328, 2011.
Tamura, T., Ohshima, K. I., and Nihashi, S.: Mapping of sea ice production
for Antarctic coastal polynyas, Geophys. Res. Lett., 35, L07606,
https://doi.org/10.1029/2007GL032903, 2008.
Thompson, L., Smith, M., Thomson, J., Stammerjohn, S., Ackley, S., and Loose, B.: Frazil ice growth and production during katabatic wind events in the Ross Sea, Antarctica, The Cryosphere, 14, 3329–3347, https://doi.org/10.5194/tc-14-3329-2020, 2020.
Tortell, P. D., Long, M. C., Payne, C. D., Alderkamp, A.-C., Dutrieux, P.,
and Arrigo, K. R.: Spatial distribution of pCO2, ΔO
Tremblay, J. E. and Smith Jr., W. O.: Chapter 8 Primary Production and Nutrient Dynamics in Polynyas, in: Polynyas: Windows to the World, Elsevier
Oceanography Series, 74, 239–269, 2007.
Turner, J., Chenoli, S. N., Abu Samah, A., Marshall, G., Phillips, T., and
Orr, A.: Strong wind events in the Antarctic, J. Geophys. Res., 114, D18103,
https://doi.org/10.1029/2008JD011642, 2009.
Uotila, P., Pezza, A. B., Cassano, J. J., Keay, K., and Lynch, A. H.: A
comparison of low pressure system statistics derived from a high-resolution
NWP output and three reanalysis products over the Southern Ocean, J.
Geophys. Res., 114, D17105, https://doi.org/10.1029/2008JD011583, 2009.
Uotila, P., Vihma, T., Pezza, A. B., Simmonds, I., Keay, K., and Lynch, A.
H.: Relationships between Antarctic cyclones and surface conditions as
derived from high-resolution numerical weather prediction data, J. Geophys.
Res.-Atmos., 116, D07109, https://doi.org/10.1029/2010JD015358, 2011.
Uotila, P., Vihma, T., and Tsukernik, M.: Close interactions between the
Antarctic cyclone budget and large-scale atmospheric circulation, Geophys.
Res. Lett., 40, 3237–3241, https://doi.org/10.1002/grl.50560, 2013.
van Lipzig, N. P. M., King, J. C., Lachlan-Cope, T. A., and van den Broeke,
M. R.: Precipitation, sublimation, and snow drift in the Antarctic Peninsula
region from a regional atmospheric model, J. Geophys. Res., 109, D24106,
https://doi.org/10.1029/2004JD004701, 2004.
Wang, Q., Danilov, S., Hellmer, H., Sidorenko, D., Schröter, J., and
Jung, T.: Enhanced cross-shelf exchange by tides in the western Ross Sea,
Geophys. Res. Lett., 40, 5735–5739, https://doi.org/10.1002/2013GL058207, 2013.
Wang, X.: X. Wang/model outputs for TC-2022-160, Version 1, Zenodo, https://sandbox.zenodo.org/record/1153950 (last access: 3 February 2023), 2022.
Wang, X., Zhang, Z., Wang, X., Vihma, T., Zhou, M., Yu, L., Uotila, P., and
Sein, D. V.: Impacts of strong wind events on sea ice and water mass
properties in Antarctic coastal polynyas, Clim. Dynam., 57, 3505–3528, https://doi.org/10.1007/s00382-021-05878-7, 2021.
Wenta, M. and Cassano, J. J.: The atmospheric boundary layer and surface
conditions during katabatic wind events over the Terra Nova bay Polynya,
Remote Sens., 12, 4160, https://doi.org/10.3390/rs12244160, 2020.
Weber, N. J., Lazzara, M. A., Keller, L. M., and Cassano, J. J.: The
extreme wind events in the Ross Island region of Antarctica, Weather
Forecast., 31, 985–1000, https://doi.org/10.1175/WAF-D-15-0125.1, 2016.
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.
Whitworth III, T., Orsi, A. H., Kim, S. J., Nowlin Jr., W. D., and Locarnini, R. A.: Water masses and mixing near the antarctic slope front, in: Ocean, ice, and atmosphere: interactions at the Antarctic Continental Margin, edited by: Jacobs, S. S. and Weiss, R. F., American Geophysical Union, 75, 1–27,
https://doi.org/10.1029/AR075p0001, 2013.
Williams, G. D., Herraiz-Borreguero, L., Roquet, F., Tamura, T., Ohshima, K.
I., Fukamachi, Y., Fraser, A. D., Gao, L., Chen, H., McMahon, C. R.,
Harcourt, R., and Hindell, M.: The suppression of Antarctic bottom water
formation by melting ice shelves in Prydz Bay, Nat. Commun., 7, 12577,
https://doi.org/10.1038/ncomms12577, 2016.
Wu, Y., Wang, Z., Liu, C., and Lin, X.: Impacts of High-Frequency
Atmospheric Forcing on Southern Ocean Circulation and Antarctic Sea Ice, Adv. Atmos. Sci., 37, 515–531, https://doi.org/10.1007/s00376-020-9203-x, 2020.
Yu, L. and Zhong, S.: Strong wind speed events over Antarctica and its
surrounding oceans, J. Climate, 32, 3451–3470, https://doi.org/10.1175/JCLI-D-18-0831.1, 2019.
Zhang, Z., Vihma, T., Stössel, A., and Uotila, P.: The role of wind
forcing from operational analyses for the model representation of Antarctic
coastal sea ice, Ocean Model., 94, 95–111,
https://doi.org/10.1016/j.ocemod.2015.07.019, 2015.
Short summary
The bottom water of the global ocean originates from high-salinity water formed in polynyas in the Southern Ocean where sea ice coverage is low. This study reveals the impacts of cyclones on sea ice and water mass formation in the Ross Ice Shelf Polynya using numerical simulations. Sea ice production is rapidly increased caused by enhancement in offshore wind, promoting high-salinity water formation in the polynya. Cyclones also modulate the transport of this water mass by wind-driven currents.
The bottom water of the global ocean originates from high-salinity water formed in polynyas in...
