Articles | Volume 17, issue 2
https://doi.org/10.5194/tc-17-701-2023
© 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-17-701-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Feb 2023
Research article |
| 13 Feb 2023
| 13 Feb 2023
Antarctic sea ice regime shift associated with decreasing zonal symmetry in the Southern Annular Mode
Serena Schroeter
CORRESPONDING AUTHOR
Earth Systems, CSIRO Environment, Hobart, Tasmania, Australia
Terence J. O'Kane
Earth Systems, CSIRO Environment, Hobart, Tasmania, Australia
Australian Centre for Excellence in Antarctic Science, Hobart,
Tasmania, Australia
Paul A. Sandery
Earth Systems, CSIRO Environment, Hobart, Tasmania, Australia
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Dylan Harries and Terence J. O'Kane
Nonlin. Processes Geophys., 27, 453–471, https://doi.org/10.5194/npg-27-453-2020, https://doi.org/10.5194/npg-27-453-2020, 2020
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Different dimension reduction methods may produce profoundly different low-dimensional representations of multiscale systems. We perform a set of case studies to investigate these differences. When a clear scale separation is present, similar bases are obtained using all methods, but when this is not the case some methods may produce representations that are poorly suited for describing features of interest, highlighting the importance of a careful choice of method when designing analyses.
Courtney Quinn, Terence J. O'Kane, and Vassili Kitsios
Nonlin. Processes Geophys., 27, 51–74, https://doi.org/10.5194/npg-27-51-2020, https://doi.org/10.5194/npg-27-51-2020, 2020
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This study presents a novel method for reduced-rank data assimilation of multiscale highly nonlinear systems. Time-varying dynamical properties are used to determine the rank and projection of the system onto a reduced subspace. The variable reduced-rank method is shown to succeed over other fixed-rank methods. This work provides implications for performing strongly coupled data assimilation with a limited number of ensemble members on high-dimensional coupled climate models.
Peter R. Oke, Roger Proctor, Uwe Rosebrock, Richard Brinkman, Madeleine L. Cahill, Ian Coghlan, Prasanth Divakaran, Justin Freeman, Charitha Pattiaratchi, Moninya Roughan, Paul A. Sandery, Amandine Schaeffer, and Sarath Wijeratne
Geosci. Model Dev., 9, 3297–3307, https://doi.org/10.5194/gmd-9-3297-2016, https://doi.org/10.5194/gmd-9-3297-2016, 2016
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The Marine Virtual Laboratory (MARVL) is designed to help ocean modellers hit the ground running. Usually, setting up an ocean model involves a handful of technical steps that time and effort. MARVL provides a user-friendly interface that allows users to choose what options they want for their model, including the region, time period, and input data sets. The user then hits "go", and MARVL does the rest – delivering a "take-away bundle" that contains all the files needed to run the model.
C. L. E. Franzke, T. J. O'Kane, D. P. Monselesan, J. S. Risbey, and I. Horenko
Nonlin. Processes Geophys., 22, 513–525, https://doi.org/10.5194/npg-22-513-2015, https://doi.org/10.5194/npg-22-513-2015, 2015
Related subject area
Discipline: Sea ice | Subject: Antarctic
The role of atmospheric conditions in the Antarctic sea ice extent summer minima
Sources of low-frequency variability in observed Antarctic sea ice
Quantifying the Influence of Snow over Sea Ice Morphology on L-Band Microwave Satellite Observations in the Southern Ocean
A contrast in sea ice drift and deformation between winter and spring of 2019 in the Antarctic marginal ice zone
Multidecadal variability and predictability of Antarctic sea ice in the GFDL SPEAR_LO model
Signature of the stratosphere–troposphere coupling on recent record-breaking Antarctic sea-ice anomalies
Southern Ocean polynyas and dense water formation in a high-resolution, coupled Earth system model
A decade-plus of Antarctic sea ice thickness and volume estimates from CryoSat-2 using a physical model and waveform fitting
Annual evolution of the ice–ocean interaction beneath landfast ice in Prydz Bay, East Antarctica
The response of sea ice and high-salinity shelf water in the Ross Ice Shelf Polynya to cyclonic atmosphere circulations
Evolution of the dynamics, area, and ice production of the Amundsen Sea Polynya, Antarctica, 2016–2021
Modulation of the seasonal cycle of the Antarctic sea ice extent by sea ice processes and feedbacks with the ocean and the atmosphere
Ice Sheet and Sea Ice Ultrawideband Microwave radiometric Airborne eXperiment (ISSIUMAX) in Antarctica: first results from Terra Nova Bay
Influence of fast ice on future ice shelf melting in the Totten Glacier area, East Antarctica
A comparison between Envisat and ICESat sea ice thickness in the Southern Ocean
An indicator of sea ice variability for the Antarctic marginal ice zone
Physical and mechanical properties of winter first-year ice in the Antarctic marginal ice zone along the Good Hope Line
Altimetric observation of wave attenuation through the Antarctic marginal ice zone using ICESat-2
Flexural and compressive strength of the landfast sea ice in the Prydz Bay, East Antarctic
The sensitivity of landfast sea ice to atmospheric forcing in single-column model simulations: a case study at Zhongshan Station, Antarctica
An evaluation of Antarctic sea-ice thickness from the Global Ice-Ocean Modeling and Assimilation System based on in situ and satellite observations
Rectification and validation of a daily satellite-derived Antarctic sea ice velocity product
Weddell Sea polynya analysis using SMOS–SMAP apparent sea ice thickness retrieval
Eighteen-year record of circum-Antarctic landfast-sea-ice distribution allows detailed baseline characterisation and reveals trends and variability
Brief communication: The anomalous winter 2019 sea-ice conditions in McMurdo Sound, Antarctica
Southern Ocean polynyas in CMIP6 models
Airborne mapping of the sub-ice platelet layer under fast ice in McMurdo Sound, Antarctica
Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea
The Antarctic sea ice cover from ICESat-2 and CryoSat-2: freeboard, snow depth, and ice thickness
Seasonal and interannual variability of landfast sea ice in Atka Bay, Weddell Sea, Antarctica
Influence of sea-ice anomalies on Antarctic precipitation using source attribution in the Community Earth System Model
Retrieval of snow freeboard of Antarctic sea ice using waveform fitting of CryoSat-2 returns
Three years of sea ice freeboard, snow depth, and ice thickness of the Weddell Sea from Operation IceBridge and CryoSat-2
Bianca Mezzina, Hugues Goosse, François Klein, Antoine Barthélemy, and François Massonnet
The Cryosphere, 18, 3825–3839, https://doi.org/10.5194/tc-18-3825-2024, https://doi.org/10.5194/tc-18-3825-2024, 2024
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We analyze years with extraordinarily low sea ice extent in Antarctica during summer, until the striking record in 2022. We highlight common aspects among these events, such as the fact that the exceptional melting usually occurs in two key regions and that it is related to winds with a similar direction. We also investigate whether the summer conditions are preceded by an unusual state of the sea ice during the previous winter, as well as the physical processes involved.
David B. Bonan, Jakob Dörr, Robert C. J. Wills, Andrew F. Thompson, and Marius Årthun
The Cryosphere, 18, 2141–2159, https://doi.org/10.5194/tc-18-2141-2024, https://doi.org/10.5194/tc-18-2141-2024, 2024
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Antarctic sea ice has exhibited variability over satellite records, including a period of gradual expansion and a period of sudden decline. We use a novel statistical method to identify sources of variability in observed Antarctic sea ice changes. We find that the gradual increase in sea ice is likely related to large-scale temperature trends, and periods of abrupt sea ice decline are related to specific flavors of equatorial tropical variability known as the El Niño–Southern Oscillation.
Lu Zhou, Julienne Stroeve, Vishnu Nandan, Rosemary Willatt, Shiming Xu, Weixin Zhu, Sahra Kacimi, Stefanie Arndt, and Zifan Yang
EGUsphere, https://doi.org/10.5194/egusphere-2024-81, https://doi.org/10.5194/egusphere-2024-81, 2024
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Snow over Antarctic sea ice, influenced by highly variable meteorological conditions and heavy snowfall, has complex stratigraphy and profound impact over the microwave signature. We employ advanced radiation transfer models to analyze the effects of complex snow properties on brightness temperatures over the sea ice in Southern Oceans. Great potential lies in the understanding of snow processes and the application to satellite retrievals.
Ashleigh Womack, Alberto Alberello, Marc de Vos, Alessandro Toffoli, Robyn Verrinder, and Marcello Vichi
The Cryosphere, 18, 205–229, https://doi.org/10.5194/tc-18-205-2024, https://doi.org/10.5194/tc-18-205-2024, 2024
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Synoptic events have a significant influence on the evolution of Antarctic sea ice. Our current understanding of the interactions between cyclones and sea ice remains limited. Using two ensembles of buoys, deployed in the north-eastern Weddell Sea region during winter and spring of 2019, we show how the evolution and spatial pattern of sea ice drift and deformation in the Antarctic marginal ice zone were affected by the balance between atmospheric and oceanic forcing and the local ice.
Yushi Morioka, Liping Zhang, Thomas L. Delworth, Xiaosong Yang, Fanrong Zeng, Masami Nonaka, and Swadhin K. Behera
The Cryosphere, 17, 5219–5240, https://doi.org/10.5194/tc-17-5219-2023, https://doi.org/10.5194/tc-17-5219-2023, 2023
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Antarctic sea ice extent shows multidecadal variations with its decrease in the 1980s and increase after the 2000s until 2015. Here we show that our climate model can predict the sea ice decrease by deep convection in the Southern Ocean and the sea ice increase by the surface wind variability. These results suggest that accurate simulation and prediction of subsurface ocean and atmosphere conditions are important for those of Antarctic sea ice variability on a multidecadal timescale.
Raúl R. Cordero, Sarah Feron, Alessandro Damiani, Pedro J. Llanillo, Jorge Carrasco, Alia L. Khan, Richard Bintanja, Zutao Ouyang, and Gino Casassa
The Cryosphere, 17, 4995–5006, https://doi.org/10.5194/tc-17-4995-2023, https://doi.org/10.5194/tc-17-4995-2023, 2023
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We investigate the response of Antarctic sea ice to year-to-year changes in the tropospheric–stratospheric dynamics. Our findings suggest that, by affecting the tropospheric westerlies, the strength of the stratospheric polar vortex has played a major role in recent record-breaking anomalies in Antarctic sea ice.
Hyein Jeong, Adrian K. Turner, Andrew F. Roberts, Milena Veneziani, Stephen F. Price, Xylar S. Asay-Davis, Luke P. Van Roekel, Wuyin Lin, Peter M. Caldwell, Hyo-Seok Park, Jonathan D. Wolfe, and Azamat Mametjanov
The Cryosphere, 17, 2681–2700, https://doi.org/10.5194/tc-17-2681-2023, https://doi.org/10.5194/tc-17-2681-2023, 2023
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We find that E3SM-HR reproduces the main features of the Antarctic coastal polynyas. Despite the high amount of coastal sea ice production, the densest water masses are formed in the open ocean. Biases related to the lack of dense water formation are associated with overly strong atmospheric polar easterlies. Our results indicate that the large-scale polar atmospheric circulation must be accurately simulated in models to properly reproduce Antarctic dense water formation.
Steven Fons, Nathan Kurtz, and Marco Bagnardi
The Cryosphere, 17, 2487–2508, https://doi.org/10.5194/tc-17-2487-2023, https://doi.org/10.5194/tc-17-2487-2023, 2023
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Antarctic sea ice thickness is an important quantity in the Earth system. Due to the thick and complex snow cover on Antarctic sea ice, estimating the thickness of the ice pack is difficult using traditional methods in radar altimetry. In this work, we use a waveform model to estimate the freeboard and snow depth of Antarctic sea ice from CryoSat-2 and use these values to calculate sea ice thickness and volume between 2010 and 2021 and showcase how the sea ice pack has changed over this time.
Haihan Hu, Jiechen Zhao, Petra Heil, Zhiliang Qin, Jingkai Ma, Fengming Hui, and Xiao Cheng
The Cryosphere, 17, 2231–2244, https://doi.org/10.5194/tc-17-2231-2023, https://doi.org/10.5194/tc-17-2231-2023, 2023
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The oceanic characteristics beneath sea ice significantly affect ice growth and melting. The high-frequency and long-term observations of oceanic variables allow us to deeply investigate their diurnal and seasonal variation and evaluate their influences on sea ice evolution. The large-scale sea ice distribution and ocean circulation contributed to the seasonal variation of ocean variables, revealing the important relationship between large-scale and local phenomena.
Xiaoqiao Wang, Zhaoru Zhang, Michael S. Dinniman, Petteri Uotila, Xichen Li, and Meng Zhou
The Cryosphere, 17, 1107–1126, https://doi.org/10.5194/tc-17-1107-2023, https://doi.org/10.5194/tc-17-1107-2023, 2023
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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.
Grant J. Macdonald, Stephen F. Ackley, Alberto M. Mestas-Nuñez, and Adrià Blanco-Cabanillas
The Cryosphere, 17, 457–476, https://doi.org/10.5194/tc-17-457-2023, https://doi.org/10.5194/tc-17-457-2023, 2023
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Polynyas are key sites of sea ice production, biological activity, and carbon sequestration. The Amundsen Sea Polynya is of particular interest due to its size and location. By analyzing radar imagery and climate and sea ice data products, we evaluate variations in the dynamics, area, and ice production of the Amundsen Sea Polynya. In particular, we find the local seafloor topography and associated grounded icebergs play an important role in the polynya dynamics, influencing ice production.
Hugues Goosse, Sofia Allende Contador, Cecilia M. Bitz, Edward Blanchard-Wrigglesworth, Clare Eayrs, Thierry Fichefet, Kenza Himmich, Pierre-Vincent Huot, François Klein, Sylvain Marchi, François Massonnet, Bianca Mezzina, Charles Pelletier, Lettie Roach, Martin Vancoppenolle, and Nicole P. M. van Lipzig
The Cryosphere, 17, 407–425, https://doi.org/10.5194/tc-17-407-2023, https://doi.org/10.5194/tc-17-407-2023, 2023
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Using idealized sensitivity experiments with a regional atmosphere–ocean–sea ice model, we show that sea ice advance is constrained by initial conditions in March and the retreat season is influenced by the magnitude of several physical processes, in particular by the ice–albedo feedback and ice transport. Atmospheric feedbacks amplify the response of the winter ice extent to perturbations, while some negative feedbacks related to heat conduction fluxes act on the ice volume.
Marco Brogioni, Mark J. Andrews, Stefano Urbini, Kenneth C. Jezek, Joel T. Johnson, Marion Leduc-Leballeur, Giovanni Macelloni, Stephen F. Ackley, Alexandra Bringer, Ludovic Brucker, Oguz Demir, Giacomo Fontanelli, Caglar Yardim, Lars Kaleschke, Francesco Montomoli, Leung Tsang, Silvia Becagli, and Massimo Frezzotti
The Cryosphere, 17, 255–278, https://doi.org/10.5194/tc-17-255-2023, https://doi.org/10.5194/tc-17-255-2023, 2023
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In 2018 the first Antarctic campaign of UWBRAD was carried out. UWBRAD is a new radiometer able to collect microwave spectral signatures over 0.5–2 GHz, thus outperforming existing similar sensors. It allows us to probe thicker sea ice and ice sheet down to the bedrock. In this work we tried to assess the UWBRAD potentials for sea ice, glaciers, ice shelves and buried lakes. We also highlighted the wider range of information the spectral signature can provide to glaciological studies.
Guillian Van Achter, Thierry Fichefet, Hugues Goosse, and Eduardo Moreno-Chamarro
The Cryosphere, 16, 4745–4761, https://doi.org/10.5194/tc-16-4745-2022, https://doi.org/10.5194/tc-16-4745-2022, 2022
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We investigate the changes in ocean–ice interactions in the Totten Glacier area between the last decades (1995–2014) and the end of the 21st century (2081–2100) under warmer climate conditions. By the end of the 21st century, the sea ice is strongly reduced, and the ocean circulation close to the coast is accelerated. Our research highlights the importance of including representations of fast ice to simulate realistic ice shelf melt rate increase in East Antarctica under warming conditions.
Jinfei Wang, Chao Min, Robert Ricker, Qian Shi, Bo Han, Stefan Hendricks, Renhao Wu, and Qinghua Yang
The Cryosphere, 16, 4473–4490, https://doi.org/10.5194/tc-16-4473-2022, https://doi.org/10.5194/tc-16-4473-2022, 2022
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The differences between Envisat and ICESat sea ice thickness (SIT) reveal significant temporal and spatial variations. Our findings suggest that both overestimation of Envisat sea ice freeboard, potentially caused by radar backscatter originating from inside the snow layer, and the AMSR-E snow depth biases and sea ice density uncertainties can possibly account for the differences between Envisat and ICESat SIT.
Marcello Vichi
The Cryosphere, 16, 4087–4106, https://doi.org/10.5194/tc-16-4087-2022, https://doi.org/10.5194/tc-16-4087-2022, 2022
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The marginal ice zone (MIZ) in the Antarctic is the largest in the world ocean. Antarctic sea ice has large year-to-year changes, and the MIZ represents its most variable component. Processes typical of the MIZ have also been observed in fully ice-covered ocean and are not captured by existing diagnostics. A new statistical method has been shown to address previous limitations in assessing the seasonal cycle of MIZ extent and to provide a probability map of sea ice state in the Southern Ocean.
Sebastian Skatulla, Riesna R. Audh, Andrea Cook, Ehlke Hepworth, Siobhan Johnson, Doru C. Lupascu, Keith MacHutchon, Rutger Marquart, Tommy Mielke, Emmanuel Omatuku, Felix Paul, Tokoloho Rampai, Jörg Schröder, Carina Schwarz, and Marcello Vichi
The Cryosphere, 16, 2899–2925, https://doi.org/10.5194/tc-16-2899-2022, https://doi.org/10.5194/tc-16-2899-2022, 2022
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First-year sea ice has been sampled at the advancing outer edge of the Antarctic marginal ice zone (MIZ) along the Good Hope Line. Ice cores were extracted from five pancake ice floes and subsequently analysed for their physical and mechanical properties. Of particular interest was elucidating the transition of ice composition within the MIZ in terms of differences in mechanical stiffness and strength properties as linked to physical and textural characteristics at early-stage ice formation.
Jill Brouwer, Alexander D. Fraser, Damian J. Murphy, Pat Wongpan, Alberto Alberello, Alison Kohout, Christopher Horvat, Simon Wotherspoon, Robert A. Massom, Jessica Cartwright, and Guy D. Williams
The Cryosphere, 16, 2325–2353, https://doi.org/10.5194/tc-16-2325-2022, https://doi.org/10.5194/tc-16-2325-2022, 2022
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The marginal ice zone is the region where ocean waves interact with sea ice. Although this important region influences many sea ice, ocean and biological processes, it has been difficult to accurately measure on a large scale from satellite instruments. We present new techniques for measuring wave attenuation using the NASA ICESat-2 laser altimeter. By measuring how waves attenuate within the sea ice, we show that the marginal ice zone may be far wider than previously realised.
Qingkai Wang, Zhaoquan Li, Peng Lu, Yigang Xu, and Zhijun Li
The Cryosphere, 16, 1941–1961, https://doi.org/10.5194/tc-16-1941-2022, https://doi.org/10.5194/tc-16-1941-2022, 2022
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A large area of landfast sea ice exists in the Prydz Bay, and it is always a safety concern to transport cargos on ice to the research stations. Knowing the mechanical properties of sea ice is helpful to solve the issue; however, these data are rarely reported in this region. We explore the effects of sea ice physical properties on the flexural strength, effective elastic modulus, and uniaxial compressive strength, which gives new insights into assessing the bearing capacity of landfast sea ice.
Fengguan Gu, Qinghua Yang, Frank Kauker, Changwei Liu, Guanghua Hao, Chao-Yuan Yang, Jiping Liu, Petra Heil, Xuewei Li, and Bo Han
The Cryosphere, 16, 1873–1887, https://doi.org/10.5194/tc-16-1873-2022, https://doi.org/10.5194/tc-16-1873-2022, 2022
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The sea ice thickness was simulated by a single-column model and compared with in situ observations obtained off Zhongshan Station in the Antarctic. It is shown that the unrealistic precipitation in the atmospheric forcing data leads to the largest bias in sea ice thickness and snow depth modeling. In addition, the increasing snow depth gradually inhibits the growth of sea ice associated with thermal blanketing by the snow.
Sutao Liao, Hao Luo, Jinfei Wang, Qian Shi, Jinlun Zhang, and Qinghua Yang
The Cryosphere, 16, 1807–1819, https://doi.org/10.5194/tc-16-1807-2022, https://doi.org/10.5194/tc-16-1807-2022, 2022
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The Global Ice-Ocean Modeling and Assimilation System (GIOMAS) can basically reproduce the observed variability in Antarctic sea-ice volume and its changes in the trend before and after 2013, and it underestimates Antarctic sea-ice thickness (SIT) especially in deformed ice zones. Assimilating additional sea-ice observations with advanced assimilation methods may result in a more accurate estimation of Antarctic SIT.
Tian R. Tian, Alexander D. Fraser, Noriaki Kimura, Chen Zhao, and Petra Heil
The Cryosphere, 16, 1299–1314, https://doi.org/10.5194/tc-16-1299-2022, https://doi.org/10.5194/tc-16-1299-2022, 2022
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This study presents a comprehensive validation of a satellite observational sea ice motion product in Antarctica by using drifting buoys. Two problems existing in this sea ice motion product have been noticed. After rectifying problems, we use it to investigate the impacts of satellite observational configuration and timescale on Antarctic sea ice kinematics and suggest the future improvement of satellite missions specifically designed for retrieval of sea ice motion.
Alexander Mchedlishvili, Gunnar Spreen, Christian Melsheimer, and Marcus Huntemann
The Cryosphere, 16, 471–487, https://doi.org/10.5194/tc-16-471-2022, https://doi.org/10.5194/tc-16-471-2022, 2022
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In this paper we show that the activity leading to the open-ocean polynyas near the Maud Rise seamount that have occurred repeatedly from 1974–1976 as well as 2016–2017 does not simply stop for polynya-free years. Using apparent sea ice thickness retrieval, we have identified anomalies where there is thinning of sea ice on a scale that is comparable to that of the polynya events of 2016–2017. These anomalies took place in 2010, 2013, 2014 and 2018.
Alexander D. Fraser, Robert A. Massom, Mark S. Handcock, Phillip Reid, Kay I. Ohshima, Marilyn N. Raphael, Jessica Cartwright, Andrew R. Klekociuk, Zhaohui Wang, and Richard Porter-Smith
The Cryosphere, 15, 5061–5077, https://doi.org/10.5194/tc-15-5061-2021, https://doi.org/10.5194/tc-15-5061-2021, 2021
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Landfast ice is sea ice that remains stationary by attaching to Antarctica's coastline and grounded icebergs. Although a variable feature, landfast ice exerts influence on key coastal processes involving pack ice, the ice sheet, ocean, and atmosphere and is of ecological importance. We present a first analysis of change in landfast ice over an 18-year period and quantify trends (−0.19 ± 0.18 % yr−1). This analysis forms a reference of landfast-ice extent and variability for use in other studies.
Greg H. Leonard, Kate E. Turner, Maren E. Richter, Maddy S. Whittaker, and Inga J. Smith
The Cryosphere, 15, 4999–5006, https://doi.org/10.5194/tc-15-4999-2021, https://doi.org/10.5194/tc-15-4999-2021, 2021
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McMurdo Sound sea ice can generally be partitioned into two regimes: a stable fast-ice cover forming south of approximately 77.6° S and a more dynamic region north of 77.6° S that is regularly impacted by polynyas. In 2019, a stable fast-ice cover formed unusually late due to repeated break-out events. This subsequently affected sea-ice operations in the 2019/20 field season. We analysed the 2019 sea-ice conditions and found a strong correlation with unusually large southerly wind events.
Martin Mohrmann, Céline Heuzé, and Sebastiaan Swart
The Cryosphere, 15, 4281–4313, https://doi.org/10.5194/tc-15-4281-2021, https://doi.org/10.5194/tc-15-4281-2021, 2021
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Polynyas are large open-water areas within the sea ice. We developed a method to estimate their area, distribution and frequency for the Southern Ocean in climate models and observations. All models have polynyas along the coast but few do so in the open ocean, in contrast to observations. We examine potential atmospheric and oceanic drivers of open-water polynyas and discuss recently implemented schemes that may have improved some models' polynya representation.
Christian Haas, Patricia J. Langhorne, Wolfgang Rack, Greg H. Leonard, Gemma M. Brett, Daniel Price, Justin F. Beckers, and Alex J. Gough
The Cryosphere, 15, 247–264, https://doi.org/10.5194/tc-15-247-2021, https://doi.org/10.5194/tc-15-247-2021, 2021
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We developed a method to remotely detect proxy signals of Antarctic ice shelf melt under adjacent sea ice. It is based on aircraft surveys with electromagnetic induction sounding. We found year-to-year variability of the ice shelf melt proxy in McMurdo Sound and spatial fine structure that support assumptions about the melt of the McMurdo Ice Shelf. With this method it will be possible to map and detect locations of intense ice shelf melt along the coast of Antarctica.
Qian Shi, Qinghua Yang, Longjiang Mu, Jinfei Wang, François Massonnet, and Matthew R. Mazloff
The Cryosphere, 15, 31–47, https://doi.org/10.5194/tc-15-31-2021, https://doi.org/10.5194/tc-15-31-2021, 2021
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The ice thickness from four state-of-the-art reanalyses (GECCO2, SOSE, NEMO-EnKF and GIOMAS) are evaluated against that from remote sensing and in situ observations in the Weddell Sea, Antarctica. Most of the reanalyses can reproduce ice thickness in the central and eastern Weddell Sea but failed to capture the thick and deformed ice in the western Weddell Sea. These results demonstrate the possibilities and limitations of using current sea-ice reanalysis in Antarctic climate research.
Sahra Kacimi and Ron Kwok
The Cryosphere, 14, 4453–4474, https://doi.org/10.5194/tc-14-4453-2020, https://doi.org/10.5194/tc-14-4453-2020, 2020
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Our current understanding of Antarctic ice cover is largely informed by ice extent measurements from passive microwave sensors. These records, while useful, provide a limited picture of how the ice is responding to climate change. In this paper, we combine measurements from ICESat-2 and CryoSat-2 missions to assess snow depth and ice thickness of the Antarctic ice cover over an 8-month period (April through November 2019). The potential impact of salinity in the snow layer is discussed.
Stefanie Arndt, Mario Hoppmann, Holger Schmithüsen, Alexander D. Fraser, and Marcel Nicolaus
The Cryosphere, 14, 2775–2793, https://doi.org/10.5194/tc-14-2775-2020, https://doi.org/10.5194/tc-14-2775-2020, 2020
Hailong Wang, Jeremy G. Fyke, Jan T. M. Lenaerts, Jesse M. Nusbaumer, Hansi Singh, David Noone, Philip J. Rasch, and Rudong Zhang
The Cryosphere, 14, 429–444, https://doi.org/10.5194/tc-14-429-2020, https://doi.org/10.5194/tc-14-429-2020, 2020
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Using a climate model with unique water source tagging, we found that sea-ice anomalies in the Southern Ocean and accompanying SST changes have a significant influence on Antarctic precipitation and its source attribution through their direct impact on moisture sources and indirect impact on moisture transport. This study also highlights the importance of atmospheric dynamics in affecting the thermodynamic impact of sea-ice anomalies on regional Antarctic precipitation.
Steven W. Fons and Nathan T. Kurtz
The Cryosphere, 13, 861–878, https://doi.org/10.5194/tc-13-861-2019, https://doi.org/10.5194/tc-13-861-2019, 2019
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A method to measure the snow freeboard of Antarctic sea ice from CryoSat-2 data is developed. Through comparisons with data from airborne campaigns and another satellite mission, we find that this method can reasonably retrieve snow freeboard across the Antarctic and shows promise in retrieving snow depth in certain locations. Snow freeboard data from CryoSat-2 are important because they enable the calculation of sea ice thickness and help to better understand snow depth on Antarctic sea ice.
Ron Kwok and Sahra Kacimi
The Cryosphere, 12, 2789–2801, https://doi.org/10.5194/tc-12-2789-2018, https://doi.org/10.5194/tc-12-2789-2018, 2018
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The variability of snow depth and ice thickness in three years of repeat surveys of an IceBridge (OIB) transect across the Weddell Sea is examined. Retrieved thicknesses suggest a highly variable but broadly thicker ice cover compared to that inferred from drilling and ship-based measurements. The use of lidar and radar altimeters to estimate snow depth for thickness calculations is analyzed, and the need for better characterization of biases due to radar penetration effects is highlighted.
Cited articles
Arblaster, J. M. and Meehl, G. A.: Contributions of external forcings to
southern annular mode trends, J. Climate, 19, 2896–2905, 2006.
Arguez, A. and Vose, R. S.: The definition of the standard WMO climate
normal: The key to deriving alternative climate normals,
B. Am. Meteorol. Soc., 92, 699–704, 2011.
Armour, K. C., Marshall, J., Scott, J. R., Donohoe, A., and Newsom, E. R.:
Southern Ocean warming delayed by circumpolar upwelling and equatorward
transport, Nat. Geosci., 9, 549–554,
https://doi.org/10.1038/ngeo2731, 2016.
Bernades Pezza, A., Rashid, H. A., and Simmonds, I.: Climate links and
recent extremes in Antarctic sea ice, high-latitude cyclones, Southern
Annular Mode and ENSO, Clim. Dynam., 38, 57–73, 2012.
Blanchard-Wrigglesworth, E., Roach, L. A., Donohoe, A., and Ding, Q.: Impact
of winds and Southern Ocean SSTs on Antarctic sea ice trends and
variability, J. Climate, 34, 949–965, 2021.
Campitelli, E., Díaz, L. B., and Vera, C.: Assessment of zonally
symmetric and asymmetric components of the Southern Annular Mode using a
novel approach, Clim. Dynam., 58, 161–178, 2022.
Comiso, J. C., Gersten, R. A., Stock, L. V., Turner, J., Perez, G. J., and
Cho, K.: Positive trend in the Antarctic sea ice cover and associated
changes in surface temperature, J. Climate, 30, 2251–2267, 2017.
Cotte, C. and Guinet, C.: Historical whaling records reveal major regional
retreat of Antarctic sea ice, Deep-Sea Res. Pt. I, 54, 243–252, 2007.
Curran, M. A., van Ommen, T. D., Morgan, V. I., Phillips, K. L., and Palmer,
A. S.: Ice core evidence for Antarctic sea ice decline since the 1950s,
Science, 302, 1203–1206, 2003.
de la Mare, W. K.: Abrupt mid-twentieth-century decline in Antarctic sea-ice
extent from whaling records, Nature, 389, 57–60, https://doi.org/10.1038/37956, 1997.
de la Mare, W. K.: Changes in Antarctic sea-ice extent from direct
historical observations and whaling records, Clim. Change, 92, 461–493,
https://doi.org/10.1007/s10584-008-9473-2, 2009.
Doddridge, E. W. and Marshall, J.: Modulation of the Seasonal Cycle of
Antarctic Sea Ice Extent Related to the Southern Annular Mode,
Geophys. Res. Lett., 44, 9761–9768, https://doi.org/10.1002/2017GL074319, 2017.
Doddridge, E. W., Marshall, J., Song, H., Campin, J. M., Kelley, M., and
Nazarenko, L.: Eddy compensation dampens Southern Ocean sea surface
temperature response to westerly wind trends, Geophys. Res. Lett.,
46, 4365–4377, 2019.
Doddridge, E. W., Marshall, J., Song, H., Campin, J.-M., and Kelley, M.:
Southern Ocean heat storage, reemergence, and winter sea ice decline induced
by summertime winds, J. Climate, 34, 1403–1415, 2021.
Eayrs, C., Holland, D., Francis, D., Wagner, T., Kumar, R., and Li, X.:
Understanding the Seasonal Cycle of Antarctic Sea Ice Extent in the Context
of Longer-Term Variability, Rev. Geophys., 57, 1037–1064, 2019.
Eayrs, C., Li, X., Raphael, M. N., and Holland, D. M.: Rapid decline in
Antarctic sea ice in recent years hints at future change, Nat. Geosci.,
14, 460–464,
https://doi.org/10.1038/s41561-021-00768-3, 2021.
Fan, T., Deser, C., and Schneider, D. P.: Recent Antarctic sea ice trends in
the context of Southern Ocean surface climate variations since 1950,
Geophys. Res. Lett., 41, 2419–2426, https://doi.org/10.1002/2014GL059239, 2014.
Ferreira, D., Marshall, J., Bitz, C. M., Solomon, S., and Plumb, A.:
Antarctic ocean and sea ice response to ozone depletion: A two-time-scale
problem, J. Climate, 28, 1206–1226, https://doi.org/10.1175/JCLI-D-14-00313.1, 2015.
Fogt, R. L. and Marshall, G. J.: The Southern Annular Mode: variability,
trends, and climate impacts across the Southern Hemisphere, Wiley
Interdisciplinary Reviews, Clim. Change, 11, e652, https://doi.org/10.1002/wcc.652, 2020.
Fogt, R. L., Jones, J. M., and Renwick, J.: Seasonal zonal asymmetries in
the Southern Annular Mode and their impact on regional temperature
anomalies, J. Climate, 25, 6253–6270, 2012a.
Fogt, R. L., Wovrosh, A. J., Langen, R. A., and Simmonds, I.: The
characteristic variability and connection to the underlying synoptic
activity of the Amundsen-Bellingshausen Seas Low,
J. Geophys. Res.-Atmos., 117, D07111, https://doi.org/10.1029/2011JD017337, 2012b.
Fogt, R. L., Sleinkofer, A. M., Raphael, M. N., and Handcock, M. S.: A
regime shift in seasonal total Antarctic sea ice extent in the twentieth
century, Nat. Clim. Change, 12, 54–62, 2022.
Franzke, C. L. E., O'Kane, T. J., Monselesan, D. P., Risbey, J. S., and Horenko, I.: Systematic attribution of observed Southern Hemisphere circulation trends to external forcing and internal variability, Nonlin. Processes Geophys., 22, 513–525, https://doi.org/10.5194/npg-22-513-2015, 2015.
Frederiksen, J., Frederiksen, C., Osbrough, S., and Sisson, J. M.: Changes
in Southern Hemisphere rainfall, circulation and weather systems, 19th International Congress on Modelling and Simulation, Perth, Australia, 12–16 December 2011, 2712–2718, http://hdl.handle.net/102.100.100/102006?index=1, 2011.
Frederiksen, J. S. and Frederiksen, C. S.: Interdecadal changes in southern
hemisphere winter storm track modes, Tellus A, 59, 599–617, 2007.
Freitas, A. C., Frederiksen, J. S., Whelan, J., O'Kane, T. J., and Ambrizzi,
T.: Observed and simulated inter-decadal changes in the structure of
Southern Hemisphere large-scale circulation, Clim. Dynam., 45,
2993–3017, 2015.
Gong, D. and Wang, S.: Definition of Antarctic oscillation index,
Geophys. Res. Lett., 26, 459–462, 1999.
Goosse, H., Lefebvre, W., de Montety, A., Crespin, E., and Orsi, A. H.:
Consistent past half-century trends in the atmosphere, the sea ice and the
ocean at high southern latitudes, Clim. Dynam., 33, 999–1016, 2009.
Hall, A. and Visbeck, M.: Synchronous Variability in the Southern Hemisphere
Atmosphere, Sea Ice, and Ocean Resulting from the Annular Mode, J. Climate, 15, 3043–3057, 2002.
Handcock, M. S. and Raphael, M. N.: Modeling the annual cycle of daily Antarctic sea ice extent, The Cryosphere, 14, 2159–2172, https://doi.org/10.5194/tc-14-2159-2020, 2020.
Haumann, F. A., Notz, D., and Schmidt, H.: Anthropogenic influence on recent
circulation-driven Antarctic sea ice changes, Geophys. Res. Lett.,
41, 8429–8437, https://doi.org/10.1002/2014GL061659, 2014.
Hobbs, W. R. and Raphael, M. N.: Characterizing the zonally asymmetric
component of the SH circulation, Clim. Dynam., 35, 859–873, 2010.
Hobbs, W. R., Massom, R., Stammerjohn, S., Reid, P., Williams, G., and
Meier, W.: A review of recent changes in Southern Ocean sea ice, their
drivers and forcings, Global Planet. Change, 143, 228–250,
https://doi.org/10.1016/j.gloplacha.2016.06.008, 2016.
Holland, M. M., Landrum, L., Kostov, Y., and Marshall, J.: Sensitivity of
Antarctic sea ice to the Southern Annular Mode in coupled climate models,
Clim. Dynam., 49, 1813–1831, 2017.
Holland, P. R.: The seasonality of Antarctic sea ice trends, Geophys. Res. Lett., 41, 4230–4237, https://doi.org/10.1002/2014GL060172, 2014.
Holland, P. R. and Kwok, R.: Wind-driven trends in Antarctic sea-ice drift,
Nat. Geosci., 5, 872–875, https://doi.org/10.1038/ngeo1627, 2012.
Holland, P. R., O'Connor, G. K., Bracegirdle, T. J., Dutrieux, P., Naughten, K. A., Steig, E. J., Schneider, D. P., Jenkins, A., and Smith, J. A.: Anthropogenic and internal drivers of wind changes over the Amundsen Sea, West Antarctica, during the 20th and 21st centuries, The Cryosphere, 16, 5085–5105, https://doi.org/10.5194/tc-16-5085-2022, 2022.
JMA: JRA-55: Japanese 55-year Reanalysis, Monthly Means and Variances, Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory [data set], https://doi.org/10.5065/D60G3H5B, 2013.
Kidson, J. W. and Sinclair, M. R.: The influence of persistent anomalies on
Southern Hemisphere storm tracks, J. Climate, 8, 1938–1950, 1995.
Kimura, N., Onomura, T., and Kikuchi, T.: Processes governing seasonal and
interannual change of the Antarctic sea-ice area, J. Oceanogr.,
1–13, https://doi.org/10.1007/s10872-022-00669-y, 2022.
Kobayashi, S., Ota, Y., Harada, Y., Ebita, A., Moriya, M., Onoda, H., Onogi, K., Kamahori, H., Kobayashi, C., and Endo, H.: The JRA-55 reanalysis: General specifications and basic characteristics, J. Meteorol. Soc. Jpn., 93, 5–48, 2015.
Kostov, Y., Marshall, J., Hausmann, U., Armour, K. C., Ferreira, D., and
Holland, M. M.: Fast and slow responses of Southern Ocean sea surface
temperature to SAM in coupled climate models, Clim. Dynam., 48,
1595–1609, 2017.
Kukla, G. and Gavin, J.: Summer ice and carbon dioxide, Science, 214,
497–503, 1981.
Kusahara, K., Williams, G. D., Massom, R., Reid, P., and Hasumi, H.: Roles
of wind stress and thermodynamic forcing in recent trends in Antarctic sea
ice and Southern Ocean SST: An ocean-sea ice model study, Global
Planet. Change, 158, 103–118, https://doi.org/10.1016/j.gloplacha.2017.09.012, 2017.
Lefebvre, W. and Goosse, H.: Influence of the Southern Annular Mode on the sea ice-ocean system: the role of the thermal and mechanical forcing, Ocean Sci., 1, 145–157, https://doi.org/10.5194/os-1-145-2005, 2005.
Lefebvre, W., Goosse, H., Timmermann, R., and Fichefet, T.: Influence of the
Southern Annular Mode on the sea ice–ocean system, J. Geophys.
Res.-Oceans, 109, C09005, https://doi.org/10.1029/2004JC002403, 2004.
Livezey, R. E., Vinnikov, K. Y., Timofeyeva, M. M., Tinker, R., and van den
Dool, H. M.: Estimation and extrapolation of climate normals and climatic
trends, J. Appl. Meteorol. Clim., 46, 1759–1776, 2007.
Mahlstein, I., Gent, P. R., and Solomon, S.: Historical Antarctic mean sea
ice area, sea ice trends, and winds in CMIP5 simulations, J. Geophys. Res.-Atmos., 118, 5105–5110, https://doi.org/10.1002/jgrd.50443, 2013.
Marshall, G. J.: Trends in the Southern Annular Mode from Observations and
Reanalyses, J. Climate, 16, 4134–4143, 2003.
Matear, R. J., O'Kane, T. J., Risbey, J. S., and Chamberlain, M.: Sources of
heterogeneous variability and trends in Antarctic sea-ice, Nat.
Commun., 6, 8656,
https://doi.org/10.1038/ncomms9656, 2015.
Meehl, G. A., Arblaster, J. M., Chung, C. T., Holland, M. M., DuVivier, A.,
Thompson, L., Yang, D., and Bitz, C. M.: Sustained ocean changes contributed
to sudden Antarctic sea ice retreat in late 2016, Nat. Commun., 10,
14,
https://doi.org/10.1038/s41467-018-07865-9, 2019.
Meier, W. N., Fetterer, F., Windnagel, A. K., and Stewart, J. S.:
Near-Real-Time NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice
Concentration, Version 2, NSIDC: National Snow and Ice Data
Center
[data set], https://doi.org/10.7265/tgam-yv28, 2021a.
Meier, W. N., Fetterer, F., Windnagel, A. K., and Stewart, J. S.: NOAA/NSIDC
Climate Data Record of Passive Microwave Sea Ice Concentration, Version 4,
NSIDC: National Snow and Ice Data Center [data set], https://doi.org/10.7265/efmz-2t65, 2021b.
Mo, K. C. and Higgins, R. W.: The Pacific–South American Modes and Tropical
Convection during the Southern Hemisphere Winter, Mon. Weather Rev.,
126, 1581–1596, 1998.
Mo, K. C. and Paegle, J. N.: The Pacific–South American modes and their
downstream effects, Int. J. Climatol., 21, 1211–1229,
https://doi.org/10.1002/joc.685, 2001.
Morioka, Y. and Behera, S. K.: Remote and local processes controlling
decadal sea ice variability in the Weddell Sea,
J. Geophys. Res.-Oceans, 126, e2020JC017036, https://doi.org/10.1029/2020JC017036, 2021.
Morioka, Y., Iovino, D., Cipollone, A., Masina, S., and Behera, S. K.:
Decadal Sea Ice Prediction in the West Antarctic Seas with Ocean and Sea Ice
Initializations, Commun. Earth Environ., 3, 189,
https://doi.org/10.1038/s43247-022-00529-z, 2022.
O'Kane, T. J., Risbey, J. S., Franzke, C., Horenko, I., and Monselesan, D.
P.: Changes in the metastability of the midlatitude Southern Hemisphere
circulation and the utility of nonstationary cluster analysis and split-flow
blocking indices as diagnostic tools, J. Atmos. Sci.,
70, 824–842, 2013a.
O'Kane, T. J., Matear, R. J., Chamberlain, M. A., Risbey, J. S., Sloyan, B.
M., and Horenko, I.: Decadal variability in an OGCM Southern Ocean:
Intrinsic modes, forced modes and metastable states, Ocean Model., 69,
1-21, 2013b.
Parkinson, C. L.: A 40-y record reveals gradual Antarctic sea ice increases
followed by decreases at rates far exceeding the rates seen in the Arctic,
P. Natl. Acad. Sci. USA, 116, 14414–14423, 2019.
Parkinson, C. L. and Cavalieri, D. J.: Antarctic sea ice variability and trends, 1979–2010, The Cryosphere, 6, 871–880, https://doi.org/10.5194/tc-6-871-2012, 2012.
Peng, G., Meier, W. N., Scott, D. J., and Savoie, M. H.: A long-term and reproducible passive microwave sea ice concentration data record for climate studies and monitoring, Earth Syst. Sci. Data, 5, 311–318, https://doi.org/10.5194/essd-5-311-2013, 2013.
Polvani, L. M., Waugh, D. W., Correa, G. J., and Son, S.-W.: Stratospheric
ozone depletion: The main driver of twentieth-century atmospheric
circulation changes in the Southern Hemisphere, J. Climate, 24,
795–812, 2011.
Raphael, M.: A zonal wave 3 index for the Southern Hemisphere, Geophys. Res. Lett., 31, L23212, https://doi.org/10.1029/2004GL020365, 2004.
Raphael, M., Marshall, G., Turner, J., Fogt, R., Schneider, D., Dixon, D.,
Hosking, J., Jones, J., and Hobbs, W.: The Amundsen Sea Low: Variability,
Change and Impact on Antarctic Climate, B. Am. Meteorol. Soc., 97, 111–121,
https://doi.org/10.1175/BAMS-D-14-00018.1, 2015.
Raphael, M. N. and Handcock, M. S.: A new record minimum for Antarctic sea
ice, Nat. Rev. Earth Environ., 1–2, 2022.
Raphael, M. N. and Hobbs, W.: The influence of the large-scale atmospheric
circulation on Antarctic sea ice during ice advance and retreat seasons,
Geophys. Res. Lett., 41, 5037–5045, https://doi.org/10.1002/2014GL060365, 2014.
Raphael, M. N., Holland, M. M., Landrum, L., and Hobbs, W. R.: Links between
the Amundsen Sea Low and sea ice in the Ross Sea: seasonal and interannual
relationships, Clim. Dynam., 52, 2333–2349, 2019.
Roach, L. A., Dörr, J., Holmes, C. R., Massonnet, F., Blockley, E. W.,
Notz, D., Rackow, T., Raphael, M. N., O'Farrell, S. P., and Bailey, D. A.:
Antarctic sea ice area in CMIP6, Geophys. Res. Lett., 47,
e2019GL086729, https://doi.org/10.1029/2019GL086729, 2020.
Santer, B. D., Wigley, T., Boyle, J., Gaffen, D. J., Hnilo, J., Nychka, D., Parker, D., and Taylor, K.: Statistical significance of trends and trend differences in layer-average atmospheric temperature time series, J. Geophys. Res.-Atmos., 105, 7337–7356, 2000.
Schlosser, E., Haumann, F. A., and Raphael, M. N.: Atmospheric influences on the anomalous 2016 Antarctic sea ice decay, The Cryosphere, 12, 1103–1119, https://doi.org/10.5194/tc-12-1103-2018, 2018.
Schossler, V., Aquino, F. E., Reis, P. A., and Simões, J. C.: Antarctic
atmospheric circulation anomalies and explosive cyclogenesis in the spring
of 2016, Theor. Appl. Climatol., 141, 537–549, 2020.
Schroeter, S., Hobbs, W., and Bindoff, N. L.: Interactions between Antarctic sea ice and large-scale atmospheric modes in CMIP5 models, The Cryosphere, 11, 789–803, https://doi.org/10.5194/tc-11-789-2017, 2017.
Seviour, W., Codron, F., Doddridge, E. W., Ferreira, D., Gnanadesikan, A.,
Kelley, M., Kostov, Y., Marshall, J., Polvani, L., and Thomas, J.: The
Southern Ocean sea surface temperature response to ozone depletion: a
multimodel comparison, J. Climate, 32, 5107–5121, 2019.
Shindell, D. T. and Schmidt, G. A.: Southern Hemisphere climate response to
ozone changes and greenhouse gas increases, Geophys. Res. Lett.,
31, L18209, https://doi.org/10.1029/2004GL020724, 2004.
Shu, Q., Song, Z., and Qiao, F.: Assessment of sea ice simulations in the CMIP5 models, The Cryosphere, 9, 399–409, https://doi.org/10.5194/tc-9-399-2015, 2015.
Shu, Q., Wang, Q., Song, Z., Qiao, F., Zhao, J., Chu, M., and Li, X.:
Assessment of sea ice extent in CMIP6 with comparison to observations and
CMIP5, Geophys. Res. Lett., 47, e2020GL087965,
https://doi.org/10.1029/2020GL087965, 2020.
Simmonds, I.: Comparing and contrasting the behaviour of Arctic and
Antarctic sea ice over the 35 year period 1979–2013, Ann. Glaciol.,
56, 18–28, 2015.
Simpkins, G. R., Ciasto, L. M., Thompson, D. W. J., and England, M. H.:
Seasonal relationships between large-scale climate variability and antarctic
sea ice concentration, J. Climate, 25, 5451–5469,
https://doi.org/10.1175/JCLI-D-11-00367.1, 2012.
Solomon, S., Ivy, D. J., Kinnison, D., Mills, M. J., Neely III, R. R., and
Schmidt, A.: Emergence of healing in the Antarctic ozone layer, Science,
353, 269–274, 2016.
Stammerjohn, S. E., Martinson, D. G., Smith, R. C., Yuan, X., and Rind, D.:
Trends in Antarctic annual sea ice retreat and advance and their relation to
El Niño-Southern Oscillation and Southern Annular Mode variability,
J. Geophys. Res.-Oceans, 113, C03S90, https://doi.org/10.1029/2007JC004269, 2008.
Stuecker, M. F., Bitz, C. M., and Armour, K. C.: Conditions leading to the
unprecedented low Antarctic sea ice extent during the 2016 austral spring
season, Geophys. Res. Lett., 44, 9008–9019, 2017.
Thompson, D. W. J. and Wallace, J. M.: Annular Modes in the Extratropical
Circulation. Part I: Month-to-Month Variability, J. Climate, 13,
1000–1016, https://doi.org/10.1175/1520-0442(2000)013<1000:AMITEC>2.0.CO;2, 2000.
Titchner, H. A. and Rayner, N. A.: The Met Office Hadley Centre sea ice and sea surface temperature data set, version 2: 1. Sea ice concentrations, J. Geophys. Res.-Atmos., 119, 2864–2889, https://doi.org/10.1002/2013JD020316, 2014 (data available at: https://www.metoffice.gov.uk/hadobs/hadisst/, last access: 9 February 2023).
Turner, J., Bracegirdle, T. J., Phillips, T., Marshall, G. J., and Scott
Hosking, J.: An initial assessment of antarctic sea ice extent in the CMIP5
models, J. Climate, 26, 1473–1484, https://doi.org/10.1175/JCLI-D-12-00068.1, 2013a.
Turner, J., Phillips, T., Hosking, J. S., Marshall, G. J., and Orr, A.: The
Amundsen Sea low, Int. J. Climatol., 33, 1818–1829,
https://doi.org/10.1002/joc.3558, 2013b.
Turner, J., Hosking, J. S., Bracegirdle, T. J., Marshall, G. J., and
Phillips, T.: Recent changes in Antarctic sea ice, Philos.
T. Roy. Soc. A, 373, 20140163, https://doi.org/10.1098/rsta.2014.0163, 2015.
Turner, J., Phillips, T., Marshall, G. J., Hosking, J. S., Pope, J. O.,
Bracegirdle, T. J., and Deb, P.: Unprecedented springtime retreat of
Antarctic sea ice in 2016, Geophys. Res. Lett., 44, 6868–6875,
2017.
Turner, J., Holmes, C., Caton Harrison, T., Phillips, T., Jena, B.,
Reeves-Francois, T., Fogt, R., Thomas, E. R., and Bajish, C.: Record low
Antarctic sea ice cover in February 2022, Geophys. Res. Lett., 49,
e2022GL098904, https://doi.org/10.1029/2022GL098904, 2022.
Turney, C. S. M., Fogwill, C. J., Palmer, J. G., van Sebille, E., Thomas, Z., McGlone, M., Richardson, S., Wilmshurst, J. M., Fenwick, P., Zunz, V., Goosse, H., Wilson, K.-J., Carter, L., Lipson, M., Jones, R. T., Harsch, M., Clark, G., Marzinelli, E., Rogers, T., Rainsley, E., Ciasto, L., Waterman, S., Thomas, E. R., and Visbeck, M.: Tropical forcing of increased Southern Ocean climate variability revealed by a 140-year subantarctic temperature reconstruction, Clim. Past, 13, 231–248, https://doi.org/10.5194/cp-13-231-2017, 2017.
van Loon, H.: Pressure in the southern hemisphere, in: Meteorology of the
Southern hemisphere, Springer, 59–86, https://doi.org/10.1007/978-1-935704-33-1_4, 1972.
Verfaillie, D., Pelletier, C., Goosse, H., Jourdain, N. C., Bull, C.,
Dalaiden, Q., Favier, V., Fichefet, T., and Wille, J. D.: The
circum-Antarctic ice-shelves respond to a more positive Southern Annular
Mode with regionally varied melting, Commun. Earth Environ.,
3, 139,
https://doi.org/10.1038/s43247-022-00458-x, 2022.
Wachter, P., Beck, C., Philipp, A., Höppner, K., and Jacobeit, J.:
Spatiotemporal variability of the Southern Annular Mode and its influence on
Antarctic surface temperatures, J. Geophys. Res.-Atmos., 125, e2020JD033818, https://doi.org/10.1029/2020JD033818, 2020.
Wang, G., Hendon, H. H., Arblaster, J. M., Lim, E.-P., Abhik, S., and van
Rensch, P.: Compounding tropical and stratospheric forcing of the record low
Antarctic sea-ice in 2016, Nat. Commun., 10, 13,
https://doi.org/10.1038/s41467-018-07689-7, 2019.
Wang, J., Luo, H., Yang, Q., Liu, J., Yu, L., Shi, Q., and Han, B.: An
Unprecedented Record Low Antarctic Sea-ice Extent during Austral Summer
2022, Adv. Atmos. Sci., 39, 1591–1597,
https://doi.org/10.1007/s00376-022-2087-1, 2022.
Zwally, H. J., Comiso, C., Parkinson, C. L., Campbell, W. J., Carsey, F. D., and Gloersen, P.: Antarctic Sea Ice, 1973–1976: Satellite Passive-Microwave Observations, NASA SP-459, NASA Special Publication, 459, 1983.
Short summary
Antarctic sea ice has increased over much of the satellite record, but we show that the early, strongly opposing regional trends diminish and reverse over time, leading to overall negative trends in recent decades. The dominant pattern of atmospheric flow has changed from strongly east–west to more wave-like with enhanced north–south winds. Sea surface temperatures have also changed from circumpolar cooling to regional warming, suggesting recent record low sea ice will not rapidly recover.
Antarctic sea ice has increased over much of the satellite record, but we show that the early,...
