Articles | Volume 16, issue 6
https://doi.org/10.5194/tc-16-2565-2022
© Author(s) 2022. 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-16-2565-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Sea ice floe size: its impact on pan-Arctic and local ice mass and required model complexity
Adam William Bateson
CORRESPONDING AUTHOR
Centre for Polar Observation and Modelling, Department of Meteorology, University of Reading, Reading, RG2 7PS, United Kingdom
Daniel L. Feltham
Centre for Polar Observation and Modelling, Department of Meteorology, University of Reading, Reading, RG2 7PS, United Kingdom
David Schröder
Centre for Polar Observation and Modelling, Department of Meteorology, University of Reading, Reading, RG2 7PS, United Kingdom
British Antarctic Survey, Cambridge, CB3 0ET, United Kingdom
Yanan Wang
School of Applied Sciences, University of Huddersfield, Huddersfield, United Kingdom
Byongjun Hwang
School of Applied Sciences, University of Huddersfield, Huddersfield, United Kingdom
Jeff K. Ridley
Hadley Centre for Climate Prediction and Research, Met Office, Exeter, EX1 3PB, United Kingdom
Yevgeny Aksenov
National Oceanography Centre Southampton, Southampton, SO14 3ZH,
United Kingdom
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Rebecca C. Frew, Adam William Bateson, Daniel L. Feltham, and David Schröder
The Cryosphere, 19, 2115–2132, https://doi.org/10.5194/tc-19-2115-2025, https://doi.org/10.5194/tc-19-2115-2025, 2025
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As summer Arctic sea ice extent has retreated, the marginal ice zone (MIZ) has been widening and making up an increasing percentage of the summer sea ice. The MIZ is projected to become a larger percentage of the summer ice cover, as the Arctic transitions to ice-free summers. Using a sea ice model, we find that the processes and timing of sea ice loss differ in the MIZ to the rest of the sea cover. We also find the balance of processes within the MIZ changes over time as the sea ice retreats.
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Sea ice is composed of small, discrete pieces of ice called floes, whose size distribution plays a critical role in the interactions between the sea ice, ocean and atmosphere. This study provides an assessment of sea ice models using new high-resolution floe size distribution observations, revealing considerable differences between them. These findings point not only to the limitations in models but also to the need for more high-resolution observations to validate and calibrate models.
Baylor Fox-Kemper, Patricia DeRepentigny, Anne Marie Treguier, Christian Stepanek, Eleanor O’Rourke, Chloe Mackallah, Alberto Meucci, Yevgeny Aksenov, Paul J. Durack, Nicole Feldl, Vanessa Hernaman, Céline Heuzé, Doroteaciro Iovino, Gaurav Madan, André L. Marquez, François Massonnet, Jenny Mecking, Dhrubajyoti Samanta, Patrick C. Taylor, Wan-Ling Tseng, and Martin Vancoppenolle
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The earth system model variables needed for studies of the ocean and sea ice are prioritized and requested.
Rebecca C. Frew, Adam William Bateson, Daniel L. Feltham, and David Schröder
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As summer Arctic sea ice extent has retreated, the marginal ice zone (MIZ) has been widening and making up an increasing percentage of the summer sea ice. The MIZ is projected to become a larger percentage of the summer ice cover, as the Arctic transitions to ice-free summers. Using a sea ice model, we find that the processes and timing of sea ice loss differ in the MIZ to the rest of the sea cover. We also find the balance of processes within the MIZ changes over time as the sea ice retreats.
David Storkey, Pierre Mathiot, Michael J. Bell, Dan Copsey, Catherine Guiavarc'h, Helene T. Hewitt, Jeff Ridley, and Malcolm J. Roberts
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The Southern Ocean is a key region of the world ocean in the context of climate change studies. We show that the Met Office Hadley Centre coupled model with intermediate ocean resolution struggles to accurately simulate the Southern Ocean. Increasing the frictional drag that the seafloor exerts on ocean currents and introducing a representation of unresolved ocean eddies both appear to reduce the large-scale biases in this model.
Alison J. McLaren, Louise C. Sime, Simon Wilson, Jeff Ridley, Qinggang Gao, Merve Gorguner, Giorgia Line, Martin Werner, and Paul Valdes
EGUsphere, https://doi.org/10.5194/egusphere-2024-3824, https://doi.org/10.5194/egusphere-2024-3824, 2025
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We describe a new development in a state-of-the-art computer atmosphere model, which follows the movement of the model’s water. This provides an efficient way to track all the model’s rain and snow back to the average location of the evaporative source as shown in a present-day simulation. The new scheme can be used in simulations of the future to predict how the sources of regional rain or snowfall may change due to human actions, providing useful information for water management purposes.
Alex T. Archibald, Bablu Sinha, Maria R. Russo, Emily Matthews, Freya A. Squires, N. Luke Abraham, Stephane J.-B. Bauguitte, Thomas J. Bannan, Thomas G. Bell, David Berry, Lucy J. Carpenter, Hugh Coe, Andrew Coward, Peter Edwards, Daniel Feltham, Dwayne Heard, Jim Hopkins, James Keeble, Elizabeth C. Kent, Brian A. King, Isobel R. Lawrence, James Lee, Claire R. Macintosh, Alex Megann, Bengamin I. Moat, Katie Read, Chris Reed, Malcolm J. Roberts, Reinhard Schiemann, David Schroeder, Timothy J. Smyth, Loren Temple, Navaneeth Thamban, Lisa Whalley, Simon Williams, Huihui Wu, and Mingxi Yang
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Here, we present an overview of the data generated as part of the North Atlantic Climate System Integrated Study (ACSIS) programme that are available through dedicated repositories at the Centre for Environmental Data Analysis (CEDA; www.ceda.ac.uk) and the British Oceanographic Data Centre (BODC; bodc.ac.uk). The datasets described here cover the North Atlantic Ocean, the atmosphere above (it including its composition), and Arctic sea ice.
Ed Blockley, Emma Fiedler, Jeff Ridley, Luke Roberts, Alex West, Dan Copsey, Daniel Feltham, Tim Graham, David Livings, Clement Rousset, David Schroeder, and Martin Vancoppenolle
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This paper documents the sea ice model component of the latest Met Office coupled model configuration, which will be used as the physical basis for UK contributions to CMIP7. Documentation of science options used in the configuration are given along with a brief model evaluation. This is the first UK configuration to use NEMO’s new SI3 sea ice model. We provide details on how SI3 was adapted to work with Met Office coupling methodology and documentation of coupling processes in the model.
Viktoria Spaiser, Sirkku Juhola, Sara M. Constantino, Weisi Guo, Tabitha Watson, Jana Sillmann, Alessandro Craparo, Ashleigh Basel, John T. Bruun, Krishna Krishnamurthy, Jürgen Scheffran, Patricia Pinho, Uche T. Okpara, Jonathan F. Donges, Avit Bhowmik, Taha Yasseri, Ricardo Safra de Campos, Graeme S. Cumming, Hugues Chenet, Florian Krampe, Jesse F. Abrams, James G. Dyke, Stefanie Rynders, Yevgeny Aksenov, and Bryan M. Spears
Earth Syst. Dynam., 15, 1179–1206, https://doi.org/10.5194/esd-15-1179-2024, https://doi.org/10.5194/esd-15-1179-2024, 2024
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In this paper, we identify potential negative social tipping points linked to Earth system destabilization and draw on related research to understand the drivers and likelihood of these negative social tipping dynamics, their potential effects on human societies and the Earth system, and the potential for cascading interactions and contribution to systemic risks.
Nico Wunderling, Anna S. von der Heydt, Yevgeny Aksenov, Stephen Barker, Robbin Bastiaansen, Victor Brovkin, Maura Brunetti, Victor Couplet, Thomas Kleinen, Caroline H. Lear, Johannes Lohmann, Rosa Maria Roman-Cuesta, Sacha Sinet, Didier Swingedouw, Ricarda Winkelmann, Pallavi Anand, Jonathan Barichivich, Sebastian Bathiany, Mara Baudena, John T. Bruun, Cristiano M. Chiessi, Helen K. Coxall, David Docquier, Jonathan F. Donges, Swinda K. J. Falkena, Ann Kristin Klose, David Obura, Juan Rocha, Stefanie Rynders, Norman Julius Steinert, and Matteo Willeit
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This paper maps out the state-of-the-art literature on interactions between tipping elements relevant for current global warming pathways. We find indications that many of the interactions between tipping elements are destabilizing. This means that tipping cascades cannot be ruled out on centennial to millennial timescales at global warming levels between 1.5 and 2.0 °C or on shorter timescales if global warming surpasses 2.0 °C.
Sina Loriani, Yevgeny Aksenov, David Armstrong McKay, Govindasamy Bala, Andreas Born, Cristiano M. Chiessi, Henk Dijkstra, Jonathan F. Donges, Sybren Drijfhout, Matthew H. England, Alexey V. Fedorov, Laura Jackson, Kai Kornhuber, Gabriele Messori, Francesco Pausata, Stefanie Rynders, Jean-Baptiste Salée, Bablu Sinha, Steven Sherwood, Didier Swingedouw, and Thejna Tharammal
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In this work, we draw on paleoreords, observations and modelling studies to review tipping points in the ocean overturning circulations, monsoon systems and global atmospheric circulations. We find indications for tipping in the ocean overturning circulations and the West African monsoon, with potentially severe impacts on the Earth system and humans. Tipping in the other considered systems is considered conceivable but currently not sufficiently supported by evidence.
Christoph Heinze, Thorsten Blenckner, Peter Brown, Friederike Fröb, Anne Morée, Adrian L. New, Cara Nissen, Stefanie Rynders, Isabel Seguro, Yevgeny Aksenov, Yuri Artioli, Timothée Bourgeois, Friedrich Burger, Jonathan Buzan, B. B. Cael, Veli Çağlar Yumruktepe, Melissa Chierici, Christopher Danek, Ulf Dieckmann, Agneta Fransson, Thomas Frölicher, Giovanni Galli, Marion Gehlen, Aridane G. González, Melchor Gonzalez-Davila, Nicolas Gruber, Örjan Gustafsson, Judith Hauck, Mikko Heino, Stephanie Henson, Jenny Hieronymus, I. Emma Huertas, Fatma Jebri, Aurich Jeltsch-Thömmes, Fortunat Joos, Jaideep Joshi, Stephen Kelly, Nandini Menon, Precious Mongwe, Laurent Oziel, Sólveig Ólafsdottir, Julien Palmieri, Fiz F. Pérez, Rajamohanan Pillai Ranith, Juliano Ramanantsoa, Tilla Roy, Dagmara Rusiecka, J. Magdalena Santana Casiano, Yeray Santana-Falcón, Jörg Schwinger, Roland Séférian, Miriam Seifert, Anna Shchiptsova, Bablu Sinha, Christopher Somes, Reiner Steinfeldt, Dandan Tao, Jerry Tjiputra, Adam Ulfsbo, Christoph Völker, Tsuyoshi Wakamatsu, and Ying Ye
Biogeosciences Discuss., https://doi.org/10.5194/bg-2023-182, https://doi.org/10.5194/bg-2023-182, 2023
Revised manuscript not accepted
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For assessing the consequences of human-induced climate change for the marine realm, it is necessary to not only look at gradual changes but also at abrupt changes of environmental conditions. We summarise abrupt changes in ocean warming, acidification, and oxygen concentration as the key environmental factors for ecosystems. Taking these abrupt changes into account requires greenhouse gas emissions to be reduced to a larger extent than previously thought to limit respective damage.
Yanan Wang, Byongjun Hwang, Adam William Bateson, Yevgeny Aksenov, and Christopher Horvat
The Cryosphere, 17, 3575–3591, https://doi.org/10.5194/tc-17-3575-2023, https://doi.org/10.5194/tc-17-3575-2023, 2023
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Sea ice is composed of small, discrete pieces of ice called floes, whose size distribution plays a critical role in the interactions between the sea ice, ocean and atmosphere. This study provides an assessment of sea ice models using new high-resolution floe size distribution observations, revealing considerable differences between them. These findings point not only to the limitations in models but also to the need for more high-resolution observations to validate and calibrate models.
Nicholas Williams, Nicholas Byrne, Daniel Feltham, Peter Jan Van Leeuwen, Ross Bannister, David Schroeder, Andrew Ridout, and Lars Nerger
The Cryosphere, 17, 2509–2532, https://doi.org/10.5194/tc-17-2509-2023, https://doi.org/10.5194/tc-17-2509-2023, 2023
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Observations show that the Arctic sea ice cover has reduced over the last 40 years. This study uses ensemble-based data assimilation in a stand-alone sea ice model to investigate the impacts of assimilating three different kinds of sea ice observation, including the novel assimilation of sea ice thickness distribution. We show that assimilating ice thickness distribution has a positive impact on thickness and volume estimates within the ice pack, especially for very thick ice.
Maria Vittoria Guarino, Louise C. Sime, Rachel Diamond, Jeff Ridley, and David Schroeder
Clim. Past, 19, 865–881, https://doi.org/10.5194/cp-19-865-2023, https://doi.org/10.5194/cp-19-865-2023, 2023
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We investigate the response of the atmosphere, ocean, and ice domains to the release of a large volume of glacial meltwaters thought to have occurred during the Last Interglacial period. We show that the signal that originated in the North Atlantic travels over great distances across the globe. It modifies the ocean gyre circulation in the Northern Hemisphere as well as the belt of westerly winds in the Southern Hemisphere, with consequences for Antarctic sea ice.
Antony Siahaan, Robin S. Smith, Paul R. Holland, Adrian Jenkins, Jonathan M. Gregory, Victoria Lee, Pierre Mathiot, Antony J. Payne, Jeff K. Ridley, and Colin G. Jones
The Cryosphere, 16, 4053–4086, https://doi.org/10.5194/tc-16-4053-2022, https://doi.org/10.5194/tc-16-4053-2022, 2022
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The UK Earth System Model is the first to fully include interactions of the atmosphere and ocean with the Antarctic Ice Sheet. Under the low-greenhouse-gas SSP1–1.9 (Shared Socioeconomic Pathway) scenario, the ice sheet remains stable over the 21st century. Under the strong-greenhouse-gas SSP5–8.5 scenario, the model predicts strong increases in melting of large ice shelves and snow accumulation on the surface. The dominance of accumulation leads to a sea level fall at the end of the century.
Rachel Diamond, Louise C. Sime, David Schroeder, and Maria-Vittoria Guarino
The Cryosphere, 15, 5099–5114, https://doi.org/10.5194/tc-15-5099-2021, https://doi.org/10.5194/tc-15-5099-2021, 2021
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The Hadley Centre Global Environment Model version 3 (HadGEM3) is the first coupled climate model to simulate an ice-free summer Arctic during the Last Interglacial (LIG), 127 000 years ago, and yields accurate Arctic surface temperatures. We investigate the causes and impacts of this extreme simulated ice loss and, in particular, the role of melt ponds.
Amy Solomon, Céline Heuzé, Benjamin Rabe, Sheldon Bacon, Laurent Bertino, Patrick Heimbach, Jun Inoue, Doroteaciro Iovino, Ruth Mottram, Xiangdong Zhang, Yevgeny Aksenov, Ronan McAdam, An Nguyen, Roshin P. Raj, and Han Tang
Ocean Sci., 17, 1081–1102, https://doi.org/10.5194/os-17-1081-2021, https://doi.org/10.5194/os-17-1081-2021, 2021
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Freshwater in the Arctic Ocean plays a critical role in the global climate system by impacting ocean circulations, stratification, mixing, and emergent regimes. In this review paper we assess how Arctic Ocean freshwater changed in the 2010s relative to the 2000s. Estimates from observations and reanalyses show a qualitative stabilization in the 2010s due to a compensation between a freshening of the Beaufort Gyre and a reduction in freshwater in the Amerasian and Eurasian basins.
Ann Keen, Ed Blockley, David A. Bailey, Jens Boldingh Debernard, Mitchell Bushuk, Steve Delhaye, David Docquier, Daniel Feltham, François Massonnet, Siobhan O'Farrell, Leandro Ponsoni, José M. Rodriguez, David Schroeder, Neil Swart, Takahiro Toyoda, Hiroyuki Tsujino, Martin Vancoppenolle, and Klaus Wyser
The Cryosphere, 15, 951–982, https://doi.org/10.5194/tc-15-951-2021, https://doi.org/10.5194/tc-15-951-2021, 2021
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We compare the mass budget of the Arctic sea ice in a number of the latest climate models. New output has been defined that allows us to compare the processes of sea ice growth and loss in a more detailed way than has previously been possible. We find that that the models are strikingly similar in terms of the major processes causing the annual growth and loss of Arctic sea ice and that the budget terms respond in a broadly consistent way as the climate warms during the 21st century.
Masa Kageyama, Louise C. Sime, Marie Sicard, Maria-Vittoria Guarino, Anne de Vernal, Ruediger Stein, David Schroeder, Irene Malmierca-Vallet, Ayako Abe-Ouchi, Cecilia Bitz, Pascale Braconnot, Esther C. Brady, Jian Cao, Matthew A. Chamberlain, Danny Feltham, Chuncheng Guo, Allegra N. LeGrande, Gerrit Lohmann, Katrin J. Meissner, Laurie Menviel, Polina Morozova, Kerim H. Nisancioglu, Bette L. Otto-Bliesner, Ryouta O'ishi, Silvana Ramos Buarque, David Salas y Melia, Sam Sherriff-Tadano, Julienne Stroeve, Xiaoxu Shi, Bo Sun, Robert A. Tomas, Evgeny Volodin, Nicholas K. H. Yeung, Qiong Zhang, Zhongshi Zhang, Weipeng Zheng, and Tilo Ziehn
Clim. Past, 17, 37–62, https://doi.org/10.5194/cp-17-37-2021, https://doi.org/10.5194/cp-17-37-2021, 2021
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The Last interglacial (ca. 127 000 years ago) is a period with increased summer insolation at high northern latitudes, resulting in a strong reduction in Arctic sea ice. The latest PMIP4-CMIP6 models all simulate this decrease, consistent with reconstructions. However, neither the models nor the reconstructions agree on the possibility of a seasonally ice-free Arctic. Work to clarify the reasons for this model divergence and the conflicting interpretations of the records will thus be needed.
Cited articles
Aksenov, Y., Popova, E. E., Yool, A., Nurser, A. J. G., Williams, T. D.,
Bertino, L., and Bergh, J.: On the future navigability of Arctic sea routes:
High-resolution projections of the Arctic Ocean and sea ice, Mar. Policy,
75, 300–317, https://doi.org/10.1016/j.marpol.2015.12.027, 2017.
Alberello, A., Onorato, M., Bennetts, L., Vichi, M., Eayrs, C., MacHutchon, K., and Toffoli, A.: Brief communication: Pancake ice floe size distribution during the winter expansion of the Antarctic marginal ice zone, The Cryosphere, 13, 41–48, https://doi.org/10.5194/tc-13-41-2019, 2019.
Arntsen, A. E., Song, A. J., Perovich, D. K., and Richter-Menge, J. A.:
Observations of the summer breakup of an Arctic sea ice cover, Geophys. Res.
Lett., 42, 8057–8063, https://doi.org/10.1002/2015GL065224, 2015.
Åstrom, J. A., Ouchterlony, F., Linna, R. P., and Timonen, J.: Universal
dynamic fragmentation in D dimensions, Phys. Rev. Lett., 92, 245506,
https://doi.org/10.1103/PhysRevLett.92.245506, 2004.
Bateson, A. W.: Fragmentation and melting of the seasonal sea ice cover,
PhD thesis, Department of Meteorology, University of Reading, United
Kingdom, 293 pp., https://doi.org/10.48683/1926.00098821, 2021a.
Bateson, A. W.: Simulations of the Arctic sea ice comparing different
approaches to modelling the floe size distribution and their respective
impacts on the sea ice cover, University of Reading [data set],
https://doi.org/10.17864/1947.300, 2021b.
Bateson, A. W., Feltham, D. L., Schröder, D., Hosekova, L., Ridley, J. K., and Aksenov, Y.: Impact of sea ice floe size distribution on seasonal fragmentation and melt of Arctic sea ice, The Cryosphere, 14, 403–428, https://doi.org/10.5194/tc-14-403-2020, 2020.
Bennetts, L. G., O'Farrell, S., and Uotila, P.: Brief communication: Impacts of ocean-wave-induced breakup of Antarctic sea ice via thermodynamics in a stand-alone version of the CICE sea-ice model, The Cryosphere, 11, 1035–1040, https://doi.org/10.5194/tc-11-1035-2017, 2017.
Boutin, G., Lique, C., Ardhuin, F., Rousset, C., Talandier, C., Accensi, M., and Girard-Ardhuin, F.: Towards a coupled model to investigate wave–sea ice interactions in the Arctic marginal ice zone, The Cryosphere, 14, 709–735, https://doi.org/10.5194/tc-14-709-2020, 2020.
Boutin, G., Williams, T., Rampal, P., Olason, E., and Lique, C.: Wave–sea-ice interactions in a brittle rheological framework, The Cryosphere, 15, 431–457, https://doi.org/10.5194/tc-15-431-2021, 2021.
Cavalieri, D. J., Parkinson, C. L., Gloersen, P., and Zwally, H. J.: Sea Ice
Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave
Data, Version 1, Natl. Snow and Ice Data Cent., Boulder, CO [data set], http://nsidc.org/data/NSIDC-0051/versions/1.html (last access: 31 December
2016), 1996.
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 Distributed Active Archive Center, Boulder, Colorado USA [data set], https://doi.org/10.5067/7Q8HCCWS4I0R, 2017.
Dansereau, V., Weiss, J., Saramito, P., and Lattes, P.: A Maxwell elasto-brittle rheology for sea ice modelling, The Cryosphere, 10, 1339–1359, https://doi.org/10.5194/tc-10-1339-2016, 2016.
de Boer, G., Shupe, M. D., Caldwell, P. M., Bauer, S. E., Persson, O., Boyle, J. S., Kelley, M., Klein, S. A., and Tjernström, M.: Near-surface meteorology during the Arctic Summer Cloud Ocean Study (ASCOS): evaluation of reanalyses and global climate models, Atmos. Chem. Phys., 14, 427–445, https://doi.org/10.5194/acp-14-427-2014, 2014.
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.
Feltham, D. L.: Granular flow in the marginal ice zone, Philos. Trans. R.
Soc. A, 363, 1677–1700,
https://doi.org/10.1098/rsta.2005.1601, 2005.
Ferry, N., Masina, S., Storto, A., Haines, K., Valdivieso, M., Barnier, B.,
and Molines, J.-M.: Product user manual global-reanalysis-phys-001-004-a and
b, MyOcean, Eur. Comm., Brussels, https://catalogue.marine.copernicus.eu/documents/PUM/CMEMS-GLO-PUM-001-004-009-010-011-017.pdf
(last access: 9 June 2022), 2011.
Frew, R. C., Feltham, D. L., Holland, P. R., and Petty, A. A.: Sea ice –
Ocean Feedbacks in the Antarctic Shelf Seas, J. Phys. Oceanogr., 49,
2423–2446, https://doi.org/10.1175/JPO-D-18-0229.1, 2019.
Gherardi, M. and Lagomarsino, M. C.: Characterizing the size and shape of
sea ice floes, Sci. Rep., 5,
10226, https://doi.org/10.1038/srep10226, 2015.
Herman, A.: Sea-ice floe-size distribution in the context of spontaneous
scaling emergence in stochastic systems, Phys. Rev. E, 81, 066123, https://doi.org/10.1103/PhysRevE.81.066123, 2010.
Herman, A.: Influence of ice concentration and floe-size distribution on
cluster formation in sea-ice floes, Cent. Eur. J. Phys., 10, 715–722,
https://doi.org/10.2478/s11534-012-0071-6, 2012.
Herman, A., Wenta, M., and Cheng, S.: Sizes and Shapes of Sea Ice Floes
Broken by Waves – A Case Study From the East Antarctic Coast, Front. Earth
Sci., 9, https://doi.org/10.3389/feart.2021.655977, 2021.
Horvat, C. and Roach, L. A.: WIFF1.0: a hybrid machine-learning-based parameterization of wave-induced sea ice floe fracture, Geosci. Model Dev., 15, 803–814, https://doi.org/10.5194/gmd-15-803-2022, 2022.
Horvat, C. and Tziperman, E.: A prognostic model of the sea-ice floe size and thickness distribution, The Cryosphere, 9, 2119–2134, https://doi.org/10.5194/tc-9-2119-2015, 2015.
Horvat, C., Roach, L. A., Tilling, R., Bitz, C. M., Fox-Kemper, B., Guider, C., Hill, K., Ridout, A., and Shepherd, A.: Estimating the sea ice floe size distribution using satellite altimetry: theory, climatology, and model comparison, The Cryosphere, 13, 2869–2885, https://doi.org/10.5194/tc-13-2869-2019, 2019.
Horvat, C., Blanchard-Wrigglesworth, E., and Petty, A.: Observing Waves in
Sea Ice With ICESat-2, Geophys. Res. Lett., 47,
https://doi.org/10.1029/2020GL087629, 2020.
Hunke, E. C., Lipscomb, W. H., Turner, A. K., Jeffery, N., and Elliott, S.:
CICE: the Los Alamos Sea Ice Model Documentation and Software User's Manual
LA-CC-06-012, http://www.ccpo.odu.edu/~klinck/Reprints/PDF/cicedoc2015.pdf
(last access: 9 June 2022), 2015.
Hutchings, J., Roberts, A., Geiger, C., and Richter-Menge, J.: Spatial and
temporal characterization of sea-ice deformation, Ann. Glaciol., 52,
360–368, 2011.
Hwang, B., Wilkinson, J., Maksym, E., Graber, H. C., Schweiger, A., Horvat,
C., Perovich, D. K., Arntsen, A. E., Stanton, T. P., Ren, J., and Wadhams,
P.: Winter-to summer transition of Arctic sea ice breakup and floe size
distribution in the Beaufort Sea, Elem. Sci. Anth., 5, 40, https://doi.org/10.1525/elementa.232, 2017.
Ivanova, D. P., Gleckler, P. J., Taylor, K. E., Durack, P. J., and Marvel, K.
D.: Moving beyond the total sea ice extent in gauging model biases, J.
Climate, 29, 8965–8987, https://doi.org/10.1175/JCLI-D-16-0026.1, 2016.
Jakobson, E., Vihma, T., Palo, T., Jakobson, L., Keernik, H., and Jaagus,
J.: Validation of atmospheric reanalyses over the central arctic ocean,
Geophys. Res. Lett., 39, L10802, https://doi.org/10.1029/2012gl051591, 2012.
Kanamitsu, M., Ebisuzaki, W., Woollen, J., Yang, S. K., Hnilo, J. J.,
Fiorino, M., and Potter, G. L.: NCEP-DOE AMIP-II reanalysis (R-2), B. Am.
Meteorol. Soc., 83, 1631–1644,
https://doi.org/10.1175/BAMS-83-11-1631,
2002.
Keen, A., Blockley, E., Bailey, D. A., Boldingh Debernard, J., Bushuk, M., Delhaye, S., Docquier, D., Feltham, D., Massonnet, F., O'Farrell, S., Ponsoni, L., Rodriguez, J. M., Schroeder, D., Swart, N., Toyoda, T., Tsujino, H., Vancoppenolle, M., and Wyser, K.: An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models, The Cryosphere, 15, 951–982, https://doi.org/10.5194/tc-15-951-2021, 2021.
Kekäläinen, P., Aström, J. A., and Timonen, J.: Solution for the
fragment-size distribution in a crack-branching model of fragmentation,
Phys. Rev. E, 76, 026112,
https://doi.org/10.1103/PhysRevE.76.026112, 2007.
Kohout, A. L., Williams, M. J. M., Dean, S. M., and Meylan, M. H.:
Storm-induced sea-ice breakup and the implications for ice extent, Nature,
509, 604–607, https://doi.org/10.1038/nature13262, 2014.
Kwok, R.: IUTAM Symposium on Scaling Laws in Ice Mechanics and Ice Dynamics,
in: Proceedings of the IUTAM Symposium held in Fairbanks, Alaska, U.S.A., 13–16 June 2000,
315–322, https://doi.org/10.1007/978-94-015-9735-7, 2001.
Kwok, R. and Untersteiner, N.: New high-resolution images of summer arctic
Sea ice, Eos, 92, 53–54, https://doi.org/10.1029/2011EO070002,
2011.
Lecomte, O., Fichefet, T., Flocco, D., Schroeder, D., and Vancoppenolle, M.:
Interactions between wind-blown snow redistribution and melt ponds in a
coupled ocean-sea ice model, Ocean Model., 87, 67–80,
https://doi.org/10.1016/j.ocemod.2014.12.003, 2015.
Lipscomb, W. H.: Remapping the thickness distribution in sea ice models, J.
Geophys. Res.-Oceans, 106, 13989–14000, 2001.
Lüpkes, C., Gryanik, V. M., Hartmann, J., and Andreas, E. L.: A
parametrization, based on sea ice morphology, of the neutral atmospheric
drag coefficients for weather prediction and climate models, J. Geophys.
Res.-Atmos., 117, D13112, https://doi.org/10.1029/2012JD017630, 2012.
Massonnet, F., Fichefet, T., Goosse, H., Bitz, C. M., Philippon-Berthier, G., Holland, M. M., and Barriat, P.-Y.: Constraining projections of summer Arctic sea ice, The Cryosphere, 6, 1383–1394, https://doi.org/10.5194/tc-6-1383-2012, 2012.
Meier, W. and Notz, D.: A note
on the accuracy and reliability of satellite-derived passive microwave
estimates of sea-ice extent, Climate and Cryosphere Sea Ice Working Group
Consensus Document, World Climate Research Program,
http://www.arcus.org/files/page/documents/1707/GCW_CliC_Sea_ice_Reliability.pdf (last access: 9 June 2022),
2010.
Perovich, D. K. and Jones, K. F.: The seasonal evolution of sea ice floe
size distribution, J. Geophys. Res.-Oceans, 119, 8767–8777,
https://doi.org/10.1002/2014JC010136, 2014.
Perovich, D. K., Richter-Menge, J. A., and Tucker, W. B.: Seasonal changes in
Arctic sea-ice morphology, Ann. Glaciol., 33, 171–176,
https://doi.org/10.3189/172756401781818716, 2001.
Petty, A. A., Holland, P. R., and Feltham, D. L.: Sea ice and the ocean mixed layer over the Antarctic shelf seas, The Cryosphere, 8, 761–783, https://doi.org/10.5194/tc-8-761-2014, 2014.
Pringle, D. J., Eicken, H., Trodahl, H. J., and Backstrom, L. G. E.: Thermal
conductivity of landfast Antarctic and Arctic sea ice, J. Geophys. Res.-Oceans, 112, C04017, https://doi.org/10.1029/2006JC003641, 2007.
Rampal, P., Dansereau, V., Olason, E., Bouillon, S., Williams, T., Korosov, A., and Samaké, A.: On the multi-fractal scaling properties of sea ice deformation, The Cryosphere, 13, 2457–2474, https://doi.org/10.5194/tc-13-2457-2019, 2019.
Ridley, J. K., Blockley, E. W., Keen, A. B., Rae, J. G. L., West, A. E., and Schroeder, D.: The sea ice model component of HadGEM3-GC3.1, Geosci. Model Dev., 11, 713–723, https://doi.org/10.5194/gmd-11-713-2018, 2018.
Roach, L. A., Horvat, C., Dean, S. M., and Bitz, C. M.: An Emergent Sea Ice
Floe Size Distribution in a Global Coupled Ocean-Sea Ice Model, J. Geophys.
Res.-Oceans, 123, 4322–4337, https://doi.org/10.1029/2017JC013692, 2018.
Roach, L. A., Bitz, C. M., Horvat, C., and Dean, S. M.: Advances in Modeling
Interactions Between Sea Ice and Ocean Surface Waves, J. Adv. Model. Earth
Syst., 11, 4167–4181, https://doi.org/10.1029/2019MS001836, 2019.
Rösel, A., Kaleschke, L., and Birnbaum, G.: Melt ponds on Arctic sea ice determined from MODIS satellite data using an artificial neural network, The Cryosphere, 6, 431–446, https://doi.org/10.5194/tc-6-431-2012, 2012.
Rothrock, D. A. and Thorndike, A. S.: Measuring the sea ice floe size
distribution, J. Geophys. Res., 89, 6477–6486,
https://doi.org/10.1029/JC089iC04p06477, 1984.
Rynders, S.: Impact of surface waves on sea ice and ocean in
the polar regions, PhD thesis, 205 pp., University of Southampton, United Kingdom, http://eprints.soton.ac.uk/id/eprint/428655 (last access: 9 June 2022), 2017.
Rynders, S., Aksenov, Y., Feltham, D. L., Nurser, A. J. G., and Madec, G.:
Impact of granular behaviour of fragmented sea ice on marginal ice zone
dynamics, in: IUTAM Symposium on Physics and Mechanics of Sea Ice, edited
by: Tuhkuri, J. and Polojärvi, A., Springer, Cham, 261–274,
https://doi.org/10.1007/978-3-030-80439-8_13, 2022.
Schröder, D., Feltham, D. L., Tsamados, M., Ridout, A., and Tilling, R.: New insight from CryoSat-2 sea ice thickness for sea ice modelling, The Cryosphere, 13, 125–139, https://doi.org/10.5194/tc-13-125-2019, 2019.
Schulson, E. M.: Brittle failure of ice, Eng. Fract. Mech., 68, 1839–1887,
https://doi.org/10.1016/S0013-7944(01)00037-6, 2001.
Schulson, E. M.: Compressive shear faults within arctic sea ice: Fracture on
scales large and small, J. Geophys. Res.-Oceans, 109,
C07016, https://doi.org/10.1029/2003JC002108,
2004.
Schweiger, A., Lindsay, R., Zhang, J., Steele, M., Stern, H., and Kwok, R.:
Uncertainty in modeled Arctic sea ice volume, J. Geophys. Res., 116, C00D06,
https://doi.org/10.1029/2011JC007084, 2011.
Shen, H., Hibler, W., and Leppäranta, M.: On applying granular flow
theory to a deforming broken ice field, Acta Mech., 63, 143–160, https://doi.org/10.1007/BF01182545, 1986.
Smith, M. M., Holland, M., and Light, B.: Arctic sea ice sensitivity to lateral melting representation in a coupled climate model, The Cryosphere, 16, 419–434, https://doi.org/10.5194/tc-16-419-2022, 2022.
Steele, M.: Sea ice melting and floe geometry in a simple ice-ocean model,
J. Geophys. Res.-Oceans, 97, 17729–17738, https://doi.org/10.1029/92JC01755, 1992.
Stern, H. L., Schweiger, A. J., Zhang, J., and Steele, M.: On reconciling
disparate studies of the sea-ice floe size distribution, Elem. Sci. Anth.,
6, 49, https://doi.org/10.1525/elementa.304, 2018a.
Stern, H. L., Schweiger, A. J., Stark, M., Zhang, J., Steele, M., and Hwang,
B.: Seasonal evolution of the sea-ice floe size distribution in the Beaufort
and Chukchi seas, Elem. Sci. Anth., 6, 48, https://doi.org/10.1525/elementa.305, 2018b.
Stroeve, J. C., Kattsov, V., Barrett, A., Serreze, M., Pavlova, T., Holland,
M., and Meier, W. N.: Trends in Arctic sea ice extent from CMIP5, CMIP3 and
observations, Geophys. Res. Lett., 39, L16502,
https://doi.org/10.1029/2012GL052676, 2012.
Strong, C., Foster, D., Cherkaev, E., Eisenman, I., and Golden, K. M.: On
the definition of marginal ice zone width, J. Atmos. Ocean. Tech., 34,
1565–1584, https://doi.org/10.1175/JTECH-D-16-0171.1, 2017.
Tilling, R. L., Ridout, A., and Shepherd, A.: Estimating Arctic sea ice
thickness and volume using CryoSat-2 radar altimeter data, Adv. Space Res.,
62, 1203–1225, https://doi.org/10.1016/j.asr.2017.10.051, 2018.
Toyota, T., Takatsuji, S., and Nakayama, M.: Characteristics of sea ice floe
size distribution in the seasonal ice zone, Geophys. Res. Lett., 33, L02616,
https://doi.org/10.1029/2005GL024556, 2006.
Tsamados, M., Feltham, D. L., Schroeder, D., Flocco, D., Farrell, S. L.,
Kurtz, N., Laxon, S. W., and Bacon, S.: Impact of Variable Atmospheric and
Oceanic Form Drag on Simulations of Arctic Sea Ice, J. Phys. Oceanogr.,
44, 1329–1353, https://doi.org/10.1175/JPO-D-13-0215.1, 2014.
Tsamados, M., Feltham, D., Petty, A., Schroder, D., and Flocco, D.: Processes
controlling surface, bottom and lateral melt of Arctic sea ice in a state of
the art sea ice model, Philos. T. Roy. Soc. A, 17, 10302,
https://doi.org/10.1098/rsta.2014.0167, 2015.
Virkar, Y. and Clauset, A.: Power-law distributions in binned empirical data, Ann. Appl. Stat., 8, 89–119, https://doi.org/10.1214/13-AOAS710, 2014.
Weiss, J.: Fracture and fragmentation of ice: A fractal analysis of scale
invariance, Eng. Fract. Mech., 68,
1975–2012, https://doi.org/10.1016/S0013-7944(01)00034-0, 2001.
Weiss, J. and Dansereau, V.: Linking scales in sea ice mechanics, Philos.
Trans. Roy. Soc. A, 375, 20150352, https://doi.org/10.1098/rsta.2015.0352,
2017.
Weiss, J. and Schulson, E. M.: Coulombic faulting from the grain scale to
the geophysical scale: Lessons from ice, J. Phys. D. Appl. Phys., 42,
214017,
https://doi.org/10.1088/0022-3727/42/21/214017, 2009.
Wenta, M. and Herman, A.: Area-averaged surface moisture flux over
fragmented Sea Ice: Floe size distribution effects and the associated
convection structure within the atmospheric boundary layer, Atmosphere
(Basel), 10, 654, https://doi.org/10.3390/atmos10110654, 2019.
Wilchinsky, A. V. and Feltham, D. L.: Modelling the rheology of sea ice as a
collection of diamond-shaped floes, J. Nonnewton. Fluid Mech., 138,
22–32, https://doi.org/10.1016/j.jnnfm.2006.05.001, 2006.
Wilchinsky, A. V., Feltham, D. L., and Hopkins, M. A.: Effect of shear
rupture on aggregate scale formation in sea ice, J. Geophys. Res.-Oceans,
115, C10002, https://doi.org/10.1029/2009JC006043, 2010.
Williams, T. D., Bennetts, L. G., Squire, V. A., Dumont, D., and Bertino, L.:
Wave-ice interactions in the marginal ice zone. Part 1: Theoretical
foundations, Ocean Model., 71, 81–91, https://doi.org/10.1016/j.ocemod.2013.05.010,
2013a.
Williams, T. D., Bennetts, L. G., Squire, V. A., Dumont, D., and Bertino, L.:
Wave-ice interactions in the marginal ice zone. Part 2: Numerical
implementation and sensitivity studies along 1D transects of the ocean
surface, Ocean Model., 71, 92–101, https://doi.org/10.1016/j.ocemod.2013.05.011, 2013b.
WMO: WMO Sea-Ice Nomenclature, Tech. Rep. 259, The Joint Technical
Commission for Oceanography and Marine Meteorology (JCOMM), https://library.wmo.int/doc_num.php?explnum_id=4651 (last access: 9 June 2022), 2014.
Zhang, J., Stern, H., Hwang, B., Schweiger, A., Steele, M., Stark, M., and
Graber, H. C.: Modeling the seasonal evolution of the Arctic sea ice floe
size distribution, Elem. Sci. Anthr., 4, 000126,
https://doi.org/10.12952/journal.elementa.000126, 2016.
Zhang, J. L. and Rothrock, D. A.: Modelling global sea ice with a thickness
and enthalpy distribution model in generalized curvilinear coordinates, Mon.
Weather Rev., 131, 845–861,
https://doi.org/10.1175/1520-0493(2003)131<0845:MGSIWA>2.0.CO;2, 2003.
Short summary
Numerical models are used to understand the mechanisms that drive the evolution of the Arctic sea ice cover. The sea ice cover is formed of pieces of ice called floes. Several recent studies have proposed variable floe size models to replace the standard model assumption of a fixed floe size. In this study we show the need to include floe fragmentation processes in these variable floe size models and demonstrate that model design can determine the impact of floe size on size ice evolution.
Numerical models are used to understand the mechanisms that drive the evolution of the Arctic...