Articles | Volume 10, issue 3
https://doi.org/10.5194/os-10-267-2014
© Author(s) 2014. 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-10-267-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 May 2014
Research article |
| 06 May 2014
Simulated melt rates for the Totten and Dalton ice shelves
D. E. Gwyther
Institute for Marine and Antarctic Studies, University of Tasmania, Private Bag 129, Hobart, Tasmania 7001, Australia
Antarctic Climate & Ecosystems Cooperative Research Centre, University of Tasmania, Private Bag 80, Hobart, Tasmania 7001, Australia
B. K. Galton-Fenzi
Antarctic Climate & Ecosystems Cooperative Research Centre, University of Tasmania, Private Bag 80, Hobart, Tasmania 7001, Australia
Australian Antarctic Division, Channel Highway, Kingston, Tasmania 7050, Australia
J. R. Hunter
Antarctic Climate & Ecosystems Cooperative Research Centre, University of Tasmania, Private Bag 80, Hobart, Tasmania 7001, Australia
J. L. Roberts
Antarctic Climate & Ecosystems Cooperative Research Centre, University of Tasmania, Private Bag 80, Hobart, Tasmania 7001, Australia
Australian Antarctic Division, Channel Highway, Kingston, Tasmania 7050, Australia
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Syed Abdul Salam, Jason L. Roberts, Felicity S. McCormack, Richard Coleman, and Jacqueline A. Halpin
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John Hunter
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Duncan A. Young, Jason L. Roberts, Catherine Ritz, Massimo Frezzotti, Enrica Quartini, Marie G. P. Cavitte, Carly R. Tozer, Daniel Steinhage, Stefano Urbini, Hugh F. J. Corr, Tas van Ommen, and Donald D. Blankenship
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Felicity S. Graham, Jason L. Roberts, Ben K. Galton-Fenzi, Duncan Young, Donald Blankenship, and Martin J. Siegert
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Antarctic bed topography datasets are interpolated onto low-resolution grids because our observed topography data are sparsely sampled. This has implications for ice-sheet model simulations, especially in regions prone to instability, such as grounding lines, where detailed knowledge of the topography is required. Here, we constructed a high-resolution synthetic bed elevation dataset using observed covariance properties to assess the dependence of simulated ice-sheet dynamics on grid resolution.
Xylar S. Asay-Davis, Stephen L. Cornford, Gaël Durand, Benjamin K. Galton-Fenzi, Rupert M. Gladstone, G. Hilmar Gudmundsson, Tore Hattermann, David M. Holland, Denise Holland, Paul R. Holland, Daniel F. Martin, Pierre Mathiot, Frank Pattyn, and Hélène Seroussi
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Coupled ice sheet–ocean models capable of simulating moving grounding lines are just becoming available. Such models have a broad range of potential applications in studying the dynamics of ice sheets and glaciers, including assessing their contributions to sea level change. Here we describe the idealized experiments that make up three interrelated Model Intercomparison Projects (MIPs) for marine ice sheet models and regional ocean circulation models incorporating ice shelf cavities.
Carly R. Tozer, Tessa R. Vance, Jason L. Roberts, Anthony S. Kiem, Mark A. J. Curran, and Andrew D. Moy
Hydrol. Earth Syst. Sci., 20, 1703–1717, https://doi.org/10.5194/hess-20-1703-2016, https://doi.org/10.5194/hess-20-1703-2016, 2016
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A 1013-year annual rainfall reconstruction was developed for the Williams River catchment in coastal eastern Australia, based on a linear relationship between sea salt deposition in East Antarctica and rainfall in eastern Australia. The reconstruction allows for the instrumental climate record (~ 100 years) to be assessed in the context of millennial climate variability, allowing for better characterisation of flood and drought risk.
Tessa R. Vance, Jason L. Roberts, Andrew D. Moy, Mark A. J. Curran, Carly R. Tozer, Ailie J. E. Gallant, Nerilie J. Abram, Tas D. van Ommen, Duncan A. Young, Cyril Grima, Don D. Blankenship, and Martin J. Siegert
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This study details a systematic approach to finding a new high-resolution East Antarctic ice core site. The study initially outlines seven criteria that a new site must fulfil, encompassing specific accumulation, ice dynamics and atmospheric circulation aspects. We then use numerous techniques including Antarctic surface mass balance syntheses, ground-truthing of satellite data by airborne radar surveys and reanalysis products to pinpoint promising regions.
J. Roberts, C. Plummer, T. Vance, T. van Ommen, A. Moy, S. Poynter, A. Treverrow, M. Curran, and S. George
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The Law Dome, East Antarctica snow accumulation record is extended back to 22 BCE using a power-law vertical strain rate model. The periods of 380-442, 727-783 and 1970-2009 CE show above-average snow accumulation rates, while 663-704, 933-975 and 1429-1468 CE were below average. The calculated snow accumulation rates show good correlation with atmospheric reanalysis estimates and significant spatial correlation over a wide expanse of East Antarctica.
P. Fretwell, H. D. Pritchard, D. G. Vaughan, J. L. Bamber, N. E. Barrand, R. Bell, C. Bianchi, R. G. Bingham, D. D. Blankenship, G. Casassa, G. Catania, D. Callens, H. Conway, A. J. Cook, H. F. J. Corr, D. Damaske, V. Damm, F. Ferraccioli, R. Forsberg, S. Fujita, Y. Gim, P. Gogineni, J. A. Griggs, R. C. A. Hindmarsh, P. Holmlund, J. W. Holt, R. W. Jacobel, A. Jenkins, W. Jokat, T. Jordan, E. C. King, J. Kohler, W. Krabill, M. Riger-Kusk, K. A. Langley, G. Leitchenkov, C. Leuschen, B. P. Luyendyk, K. Matsuoka, J. Mouginot, F. O. Nitsche, Y. Nogi, O. A. Nost, S. V. Popov, E. Rignot, D. M. Rippin, A. Rivera, J. Roberts, N. Ross, M. J. Siegert, A. M. Smith, D. Steinhage, M. Studinger, B. Sun, B. K. Tinto, B. C. Welch, D. Wilson, D. A. Young, C. Xiangbin, and A. Zirizzotti
The Cryosphere, 7, 375–393, https://doi.org/10.5194/tc-7-375-2013, https://doi.org/10.5194/tc-7-375-2013, 2013
J. L. Roberts, A. D. Moy, T. D. van Ommen, M. A. J. Curran, A. P. Worby, I. D. Goodwin, and M. Inoue
The Cryosphere, 7, 263–273, https://doi.org/10.5194/tc-7-263-2013, https://doi.org/10.5194/tc-7-263-2013, 2013
Related subject area
Approach: Numerical Models | Depth range: Shelf-sea depth | Geographical range: Shelf Seas | Phenomena: Current Field
Circulation of the European northwest shelf: a Lagrangian perspective
Dynamical connections between large marine ecosystems of austral South America based on numerical simulations
Numerical issues of the Total Exchange Flow (TEF) analysis framework for quantifying estuarine circulation
Large-scale forcing of the European Slope Current and associated inflows to the North Sea
Different approaches to model the nearshore circulation in the south shore of O'ahu, Hawaii
Residual circulation and freshwater transport in the Dutch Wadden Sea: a numerical modelling study
Effect of tidal stream power generation on the region-wide circulation in a shallow sea
Marcel Ricker and Emil V. Stanev
Ocean Sci., 16, 637–655, https://doi.org/10.5194/os-16-637-2020, https://doi.org/10.5194/os-16-637-2020, 2020
Short summary
Short summary
The dynamics of the European northwest shelf are analysed using both classical Eulerian and Lagrangian data from simulated particles. Focussing on the latter, a quantity named
normalised cumulative particle densitymeasures particle accumulation. Yearly averages reveal no surface accumulation areas in the deep ocean and elongated patterns on the shelf mainly along fronts. Sensitivity experiments show the influence of tides and wind, unveiling important vertical dynamics in coastal areas.
Karen Guihou, Alberto R. Piola, Elbio D. Palma, and Maria Paz Chidichimo
Ocean Sci., 16, 271–290, https://doi.org/10.5194/os-16-271-2020, https://doi.org/10.5194/os-16-271-2020, 2020
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The exchange between the Humboldt and Patagonian large marine ecosystems, the largest marine ecosystems in the Southern Hemisphere, is investigated with numerical simulations. Most of the southern Patagonian Shelf waters originate from the South Pacific's upper layer. The exchange takes place mainly through the shelf break via the Cape Horn shelf. The interannual variability of shelf exchange is partly explained by the large-scale wind variability and associated with the Southern Annular Mode.
Marvin Lorenz, Knut Klingbeil, Parker MacCready, and Hans Burchard
Ocean Sci., 15, 601–614, https://doi.org/10.5194/os-15-601-2019, https://doi.org/10.5194/os-15-601-2019, 2019
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Estuaries are areas where riverine and oceanic waters meet and mix. The exchange flow of an estuary describes the water properties of the inflowing and outflowing water. These can be described by simple bulk values for volume fluxes and salinities. This work focuses on the numerics of one computational method for these values, the Total Exchange Flow. We show that only the so-called dividing salinity method is able to reliably calculate the correct values, even for complex situations.
Robert Marsh, Ivan D. Haigh, Stuart A. Cunningham, Mark E. Inall, Marie Porter, and Ben I. Moat
Ocean Sci., 13, 315–335, https://doi.org/10.5194/os-13-315-2017, https://doi.org/10.5194/os-13-315-2017, 2017
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To the west of Britain and Ireland, a strong ocean current follows the steep slope that separates the deep Atlantic and the continental shelf. This “Slope Current” exerts an Atlantic influence on the North Sea and its ecosystems. Using a combination of computer modelling and archived data, we find that the Slope Current weakened over 1988–2007, reducing Atlantic influence on the North Sea, due to a combination of warming of the subpolar North Atlantic and weakening winds to the west of Scotland.
Joao Marcos Azevedo Correia de Souza and Brian Powell
Ocean Sci., 13, 31–46, https://doi.org/10.5194/os-13-31-2017, https://doi.org/10.5194/os-13-31-2017, 2017
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The relevance of including the wave effect into a nearshore circulation model is discussed. Two different approaches are tested in the framework of an operational forecast system. It is shown that the waves are essential to represent the circulation patterns near the coast. While it seams to be ideal to consider the full coupling between surface waves and ocean currents, a computationally cheaper alternative is tested and shown to give equivalent qualitative results.
M. Duran-Matute, T. Gerkema, G. J. de Boer, J. J. Nauw, and U. Gräwe
Ocean Sci., 10, 611–632, https://doi.org/10.5194/os-10-611-2014, https://doi.org/10.5194/os-10-611-2014, 2014
G. I. Shapiro
Ocean Sci., 7, 165–174, https://doi.org/10.5194/os-7-165-2011, https://doi.org/10.5194/os-7-165-2011, 2011
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