Articles | Volume 9, issue 5
https://doi.org/10.5194/os-9-885-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-9-885-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Oct 2013
Research article |
| 28 Oct 2013
Tidally induced lateral dispersion of the Storfjorden overflow plume
F. Wobus
School of Marine Science and Engineering, University of Plymouth, Plymouth, PL4 8AA, UK
G. I. Shapiro
School of Marine Science and Engineering, University of Plymouth, Plymouth, PL4 8AA, UK
Shirshov Institute of Oceanology, 36 Nahimovski prospect, Moscow, 117997, Russia
J. M. Huthnance
National Oceanography Centre, Joseph Proudman Building, 6 Brownlow Street, Liverpool, L3 5DA, UK
M. A. M. Maqueda
National Oceanography Centre, Joseph Proudman Building, 6 Brownlow Street, Liverpool, L3 5DA, UK
Y. Aksenov
National Oceanography Centre, European Way, Southampton, SO14 3ZH, UK
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Georgy I. Shapiro, Jose M. Gonzalez-Ondina, and Vladimir N. Belokopytov
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Philip L. Woodworth, J. A. Mattias Green, Richard D. Ray, and John M. Huthnance
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This special issue marks the 100th anniversary of the founding of the Liverpool Tidal Institute (LTI). The preface gives a history of the LTI founding and of its first two directors. It also gives an overview of LTI research on tides. Summaries are given of the 26 papers in the special issue. Their topics could be thought of as providing a continuation of the research first undertaken at the LTI. They provide an interesting snapshot of work on tides now being made by groups around the world.
Adam W. Bateson, Daniel L. Feltham, David Schröder, Lucia Hosekova, Jeff K. Ridley, and Yevgeny Aksenov
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David Storkey, Adam T. Blaker, Pierre Mathiot, Alex Megann, Yevgeny Aksenov, Edward W. Blockley, Daley Calvert, Tim Graham, Helene T. Hewitt, Patrick Hyder, Till Kuhlbrodt, Jamie G. L. Rae, and Bablu Sinha
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We document the latest version of the shared UK global configuration of the
NEMO ocean model. This configuration will be used as part of the climate
models for the UK contribution to the IPCC 6th Assessment Report.
30-year integrations forced with atmospheric forcing show that the new
configurations have an improved simulation in the Southern Ocean with the
near-surface temperatures and salinities and the sea ice all matching the
observations more closely.
Fabrice Ardhuin, Yevgueny Aksenov, Alvise Benetazzo, Laurent Bertino, Peter Brandt, Eric Caubet, Bertrand Chapron, Fabrice Collard, Sophie Cravatte, Jean-Marc Delouis, Frederic Dias, Gérald Dibarboure, Lucile Gaultier, Johnny Johannessen, Anton Korosov, Georgy Manucharyan, Dimitris Menemenlis, Melisa Menendez, Goulven Monnier, Alexis Mouche, Frédéric Nouguier, George Nurser, Pierre Rampal, Ad Reniers, Ernesto Rodriguez, Justin Stopa, Céline Tison, Clément Ubelmann, Erik van Sebille, and Jiping Xie
Ocean Sci., 14, 337–354, https://doi.org/10.5194/os-14-337-2018, https://doi.org/10.5194/os-14-337-2018, 2018
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The Sea surface KInematics Multiscale (SKIM) monitoring mission is a proposal for a future satellite that is designed to measure ocean currents and waves. Using a Doppler radar, the accurate measurement of currents requires the removal of the mean velocity due to ocean wave motions. This paper describes the main processing steps needed to produce currents and wave data from the radar measurements. With this technique, SKIM can provide unprecedented coverage and resolution, over the global ocean.
R. Marsh, V. O. Ivchenko, N. Skliris, S. Alderson, G. R. Bigg, G. Madec, A. T. Blaker, Y. Aksenov, B. Sinha, A. C. Coward, J. Le Sommer, N. Merino, and V. B. Zalesny
Geosci. Model Dev., 8, 1547–1562, https://doi.org/10.5194/gmd-8-1547-2015, https://doi.org/10.5194/gmd-8-1547-2015, 2015
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Calved icebergs account for around 50% of total freshwater input to the ocean from the Greenland and Antarctic ice sheets. As they melt, icebergs interact with the ocean. We have developed and tested interactive icebergs in a state-of-the-art global ocean model, showing how sea ice, temperatures, and currents are disturbed by iceberg melting. With this new model capability, we are better prepared to predict how future increases in iceberg numbers might influence the oceans and climate.
I. A. Dmitrenko, S. A. Kirillov, N. Serra, N. V. Koldunov, V. V. Ivanov, U. Schauer, I. V. Polyakov, D. Barber, M. Janout, V. S. Lien, M. Makhotin, and Y. Aksenov
Ocean Sci., 10, 719–730, https://doi.org/10.5194/os-10-719-2014, https://doi.org/10.5194/os-10-719-2014, 2014
A. Megann, D. Storkey, Y. Aksenov, S. Alderson, D. Calvert, T. Graham, P. Hyder, J. Siddorn, and B. Sinha
Geosci. Model Dev., 7, 1069–1092, https://doi.org/10.5194/gmd-7-1069-2014, https://doi.org/10.5194/gmd-7-1069-2014, 2014
G. Shapiro, M. Luneva, J. Pickering, and D. Storkey
Ocean Sci., 9, 377–390, https://doi.org/10.5194/os-9-377-2013, https://doi.org/10.5194/os-9-377-2013, 2013
Cited articles
Akimova, A., Schauer, U., Danilov, S., and Núñez-Riboni, I.: The role of the deep mixing in the Storfjorden shelf water plume, Deep-Sea Res. Pt. I, 58, 403–414, https://doi.org/10.1016/j.dsr.2011.02.001, 2011.
Anderson, L., Jones, E., Lindegren, R., Rudels, B., and Sehlstedt, P.: Nutrient regeneration in cold, high salinity bottom water of the Arctic shelves, Contin. Shelf Res., 8, 1345–1355, 1988.
Becker, E. and Burkhardt, U.: Nonlinear horizontal diffusion for GCMs, Month. Weather Rev., 135, 1439–1454, https://doi.org/10.1175/MWR3348.1, 2007.
Blaker, A. T., Hirschi, J. J.-M., Sinha, B., de Cuevas, B., Alderson, S., Coward, A., and Madec, G.: Large near-inertial oscillations of the Atlantic meridional overturning circulation, Ocean Modell., 42, 50–56, https://doi.org/10.1016/j.ocemod.2011.11.008, 2012.
Brodeau, L., Barnier, B., Treguier, A.-M., Penduff, T., and Gulev, S.: An ERA40-based atmospheric forcing for global ocean circulation models, Ocean Modell., 31, 88–104, https://doi.org/10.1016/j.ocemod.2009.10.005, 2010.
Cavalieri, D. J. and Martin, S.: The contribution of Alaskan, Siberian and Canadian coastal polynyas to the halocline layer of the Arctic Ocean, J. Geophys. Res., 99, 18343–18362, https://doi.org/10.1029/94JC01169, 1994.
Egbert, G. and Erofeeva, S.: Efficient inverse modeling of barotropic ocean tides, J. Atmos. Ocean. Technol., 19, 183–204, https://doi.org/10.1175/1520-0426(2002)019<0183:EIMOBO>2.0.CO;2, 2002.
Enriquez, C. E., Shapiro, G. I., Souza, A. J., and Zatsepin, A. G.: Hydrodynamic modelling of mesoscale eddies in the Black Sea, Ocean Dyn., 55, 476–489, https://doi.org/10.1007/s10236-005-0031-4, 2005.
Fer, I. and Ådlandsvik, B.: Descent and mixing of the overflow plume from Storfjord in Svalbard: an idealized numerical model study, Ocean Science, 4, 115–132, https://doi.org/10.5194/os-4-115-2008, 2008.
Fer, I., Skogseth, R., Haugan, P. M., and Jaccard, P.: Observations of the Storfjorden overflow, Deep-Sea Res. Pt. I, 50, 1283–1303, https://doi.org/10.1016/S0967-0637(03)00124-9, 2003.
Fer, I., Skogseth, R., and Haugan, P. M.: Mixing of the Storfjorden overflow (Svalbard Archipelago) inferred from density overturns, J. Geophys. Res., 109, C01005, https://doi.org/10.1029/2003JC001968, 2004.
Flather, R. A.: A tidal model of the northwest European continental shelf, Memoires de la Societe Royale de Sciences de Liege, 6, 141–164, 1976.
Geyer, W. R. and Signell, R. P.: A reassessment of the role of tidal dispersion in estuaries and bays, Estuar. Coast., 15, 97–108, 1992.
Gordon, A. L., Zambianchi, E., Orsi, A., Visbeck, M., Giulivi, C. F., Whitworth, Thomas, I., and Spezie, G.: Energetic plumes over the western Ross Sea continental slope, Geophys. Res. Lett., 31, L21302, https://doi.org/10.1029/2004GL020785, 2004.
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.
Haarpaintner, J.: The Storfjorden Polynya: ERS-2 SAR observations and overview, Polar Res., 18, 175–182, 1999.
Haarpaintner, J., Gascard, J.-C., and Haugan, P. M.: Ice production and brine formation in Storfjorden, Svalbard, J. Geophys. Res., 106, 14001–14013, https://doi.org/10.1029/1999JC000133, 2001.
Holloway, G. and Proshutinsky, A.: Role of tides in Arctic ocean/ice climate, J. Geophys. Res., 112, C04S06, https://doi.org/10.1029/2006JC003643, 2007.
Holt, J. T. and Proctor, R.: Dispersion in Shallow Seas, in: Encyclopedia of Ocean Sciences, edited by Steele, J. H., Thorpe, S. A., and Turekian, K. K., 742–747, Elsevier, https://doi.org/10.1006/rwos.2001.0348, 2001.
Ilıcak, M., Özgökmen, T. M., Peters, H., Baumert, H. Z., and Iskandarani, M.: Performance of two-equation turbulence closures in three-dimensional simulations of the Red Sea overflow, Ocean Modell., 24, 122–139, https://doi.org/10.1016/j.ocemod.2008.06.001, 2008.
Ivanov, V.: How summer ice depletion in the Arctic Ocean may affect the global THC?, Geophys. Res. Abstracts, 13, EGU2011–4457, \urlprefixhttp://meetingorganizer.copernicus.org/EGU2011/EGU2011-4457.p% df, 2011.
Ivanov, V. V., Shapiro, G. I., Huthnance, J. M., Aleynik, D. L., and Golovin, P. N.: Cascades of dense water around the world ocean, Prog. Oceanogr., 60, 47–98, https://doi.org/10.1016/j.pocean.2003.12.002, 2004.
Jakobsson, M., Mayer, L., Coakley, B., Dowdeswell, J. A., Forbes, S., Fridman, B., Hodnesdal, H., Noormets, R., Pedersen, R., Rebesco, M., Schenke, H. W., Zarayskaya, Y., Accettella, D., Armstrong, A., Anderson, R. M., Bienhoff, P., Camerlenghi, A., Church, I., Edwards, M., Gardner, J. V., Hall, J. K., Hell, B., Hestvik, O., Kristoffersen, Y., Marcussen, C., Mohammad, R., Mosher, D., Nghiem, S. V., Pedrosa, M. T., Travaglini, P. G., and Weatherall, P.: The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 3.0, Geophys. Res. Lett., 39, L12609, https://doi.org/10.1029/2012GL052219, 2012.
Jungclaus, J. H., Backhaus, J. O., and Fohrmann, H.: Outflow of dense water from the Storfjord in Svalbard: A numerical model study, J. Geophys. Res., 100, 24719–24728, https://doi.org/10.1029/95JC02357, 1995.
Lane-Serff, G. F.: Overflows and Cascades, in: Encyclopedia of Ocean Sciences, edited by John, H. S., Karl, K. T., and Steve, A. T., 265–271, Academic Press, Oxford, 2009.
Large, W. G. and Yeager, S.: Diurnal to decadal global forcing for ocean and sea-ice models : the data sets and flux climatologies. NCAR Technical Note, NCAR/TN-460+STR, Tech. rep., CGD Division of the National Center for Atmospheric Research, 2004.
Legg, S., Chang, Y., Chassignet, E. P., Danabasoglu, G., Ezer, T., Gordon, A. L., Griffies, S., Hallberg, R., Jackson, L., Large, W., Özgökmen, T., Peters, H., Price, J., Riemenschneider, U., Wu, W., Xu, X., and Yang, J.: Improving oceanic overflow representation in climate models: the Gravity Current Entrainment Climate Process Team, Bull. Amer. Meteorol. Soc., 90, 657–670, 2009.
Luneva, M. and Holt, J.: Physical shelf processes operating in the NOCL Arctic Ocean model, Arctic Ocean Model Intercomparison Project, Workshop 14, 19-22 October 2010, Woods Hole Oceanographic Institution, http://www.whoi.edu/fileserver.do?id=77125&pt=2&p=83808, 2010.
Madec, G.: NEMO ocean engine. Note du Pôle de modélisation, Tech. Rep. No. 27, Institut Pierre-Simon Laplace (IPSL), France, http://www.nemoocean.eu/About-NEMO/Reference-manuals, iSSN: 1288-1619, 2008.
Martinho, A. S. and Batteen, M. L.: On reducing the slope parameter in terrain-following numerical ocean models, Ocean Modell., 13, 166–175, https://doi.org/10.1016/j.ocemod.2006.01.003, 2006.
O'Dea, E. J., Arnold, A. K., Edwards, K. P., Furner, R., Hyder, P., Martin, M. J., Siddorn, J. R., Storkey, D., While, J., Holt, J. T., and Liu, H.: An operational ocean forecast system incorporating NEMO and SST data assimilation for the tidally driven European North-West shelf, J. Operat. Oceanogr., 5, 3–17, http://www.ingentaconnect.com/content/imarest/joo/2012/00000005/00000001/art00002, 2012.
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., 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, 2009.
Pawlowicz, R., Beardsley, B., and Lentz, S.: Classical tidal harmonic analysis including error estimates in MATLAB using T_TIDE, Computers Geosciences, 28, 929–937, https://doi.org/10.1016/S0098-3004(02)00013-4, 2002.
Piechura, J.: Dense bottom waters in Storfjord and Storfjordrenna, Oceanologia, 38, 285–292, 1996.
Postlethwaite, C. F., Morales Maqueda, M. A., le Fouest, V., Tattersall, G. R., Holt, J., and Willmott, A. J.: The effect of tides on dense water formation in Arctic shelf seas, Ocean Science, 7, 203–217, https://doi.org/10.5194/os-7-203-2011, 2011.
Quadfasel, D., Rudels, B., and Kurz, K.: Outflow of dense water from a Svalbard fjord into the Fram Strait, Deep-Sea Res. Pt. A, 35, 1143–1150, https://doi.org/10.1016/0198-0149(88)90006-4, 1988.
Rudels, B., Björk, G., Nilsson, J., Lake, I., and Nohr, C.: The interactions between waters from the Arctic Ocean and the Nordic Seas north of Fram Strait and along the East Greenland Current: results from the Arctic Ocean-02 Oden Expedition, J. Mar. Syst., 55, 1–30, https://doi.org/10.1016/j.jmarsys.2004.06.008, 2005.
Schauer, U.: The release of brine-enriched shelf water from Storfjord into the Norwegian Sea, J. Geophys. Res., 100, 16015–16028, https://doi.org/10.1029/95JC01184, 1995.
Schauer, U. and Fahrbach, E.: A dense bottom water plume in the western Barents Sea: downstream modification and interannual variability, Deep-Sea Res. Pt. I, 46, 2095–2108, https://doi.org/10.1016/S0967-0637(99)00046-1, 1999.
Schauer, U., Rudels, B., Fer, I., Haugan, P. M., Skogseth, R., Björk, G., and Winsor, P.: Return of deep shelf/slope convection in the Western Barents Sea?, in: Seventh Conference on Polar Meteorology and Oceanography and Joint Symposium on High-Latitude Climate Variations, Amer. Meteorol. Soc., Hyannis, MA, 2003.
Shapiro, G. I. and Hill, A. E.: Dynamics of dense water cascades at the shelf edge, J. Phys. Oceanogr., 27, 2381–2394, https://doi.org/10.1175/1520-0485(1997)027<2381:DODWCA>2.0.CO;2, 1997.
Shapiro, G., Luneva, M., Pickering, J., and Storkey, D.: The effect of various vertical discretization schemes and horizontal diffusion parameterisation on the performance of a 3-D ocean model: the Black Sea case study, Ocean Science Discuss., 9, 3643–3671, https://doi.org/10.5194/osd-9-3643-2012, 2012.
Skogseth, R., Haugan, P. M., and Haarpaintner, J.: Ice and brine production in Storfjorden from four winters of satellite and in situ observations and modeling, J. Geophys. Res., 109, C10008, https://doi.org/10.1029/2004JC002384, 2004.
Skogseth, R., Fer, I., and Haugan, P. M.: Dense-water production and overflow from an Arctic coastal polynya in Storfjorden, in: The Nordic Seas: An Integrated Perspective. AGU Geophysical Monograph Series 158, edited by: Drange, H., Dokken, T., Furevik, T., Gerdes, R., and Berger, W., 73–88, Am. Geophys. Union, http://www.agu.org/cgi-bin/agubooks?topic=GM&book=OSGM1584238&search=, 2005a.
Skogseth, R., Haugan, P. M., and Jakobsson, M.: Watermass transformations in Storfjorden, Cont. Shelf Res., 25, 667–695, https://doi.org/10.1016/j.csr.2004.10.005, 2005b.
Skogseth, R., Sandvik, A., and Asplin, L.: Wind and tidal forcing on the meso-scale circulation in Storfjorden, Svalbard, Cont. Shelf Res., 27, 208–227, https://doi.org/10.1016/j.csr.2006.10.001, 2007.
Skogseth, R., Smedsrud, L. H., Nilsen, F., and Fer, I.: Observations of hydrography and downflow of brine-enriched shelf water in the Storfjorden polynya, Svalbard, J. Geophys. Res., 113, C08049, https://doi.org/10.1029/2007JC004452, 2008.
Smagorinsky, J.: General circulation experiments with the primitive equations: I. The basic experiment, Month. Weather Rev., 91, 99–164, 1963.
Taylor, G. I.: Dispersion of Soluble Matter in Solvent Flowing Slowly through a Tube, Proceedings of the Royal Society of London, Series A, Mathemat. Phys. Sci., 219, 186–203, https://doi.org/10.1098/rspa.1953.0139, 1953.
Umlauf, L. and Burchard, H.: A generic length-scale equation for geophysical turbulence models, J. Mar. Res., 61, 235–265, https://doi.org/10.1357/002224003322005087, 2003.
Wåhlin, A. K. and Walin, G.: Downward migration of dense bottom currents, Environ. Fluid Mechan., 1, 257–279, https://doi.org/10.1023/A:1011520432200, 2001.
Warner, J. C., Sherwood, C. R., Arango, H. G., and Signell, R. P.: Performance of four turbulence closure models implemented using a generic length scale method, Ocean Modell., 8, 81–113, https://doi.org/10.1016/j.ocemod.2003.12.003, 2005.
Wobus, F., Shapiro, G. I., Maqueda, M. A. M., and Huthnance, J. M.: Numerical simulations of dense water cascading on a steep slope, J. Mar. Res., 69, 391–415, 2011.
Wobus, F., Shapiro, G. I., Huthnance, J. M., and Maqueda, M. A. M.: The piercing of the Atlantic Layer by an Arctic shelf water cascade in an idealised study inspired by the Storfjorden overflow in Svalbard, Ocean Modell., 71, 54–65, 2013.
