Articles | Volume 16, issue 12
https://doi.org/10.5194/tc-16-4779-2022
© 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-16-4779-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Changes in the annual sea ice freeze–thaw cycle in the Arctic Ocean from 2001 to 2018
Long Lin
Key Laboratory of Polar Science, MNR, Polar Research Institute of
China, Shanghai, China
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, MNR, Hangzhou, China
Key Laboratory of Polar Science, MNR, Polar Research Institute of
China, Shanghai, China
Mario Hoppmann
Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und
Meeresforschung, Bremerhaven, Germany
Donald K. Perovich
Thayer School of Engineering, Dartmouth College, Dartmouth, NH, USA
Hailun He
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, MNR, Hangzhou, China
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
Related authors
Ruibo Lei, Mario Hoppmann, Bin Cheng, Marcel Nicolaus, Fanyi Zhang, Benjamin Rabe, Long Lin, Julia Regnery, and Donald K. Perovich
The Cryosphere Discuss., https://doi.org/10.5194/tc-2023-25, https://doi.org/10.5194/tc-2023-25, 2023
Manuscript not accepted for further review
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To characterize the freezing and melting of different types of sea ice, we deployed four IMBs during the MOSAiC second drift. The drifting pattern, together with a large snow accumulation, relatively warm air temperatures, and a rapid increase in oceanic heat close to Fram Strait, determined the seasonal evolution of the ice mass balance. The refreezing of ponded ice and voids within the unconsolidated ridges amplifies the anisotropy of the heat exchange between the ice and the atmosphere/ocean.
Fanyi Zhang, Ruibo Lei, Meng Qu, Na Li, Ying Chen, and Xiaoping Pang
EGUsphere, https://doi.org/10.5194/egusphere-2024-2723, https://doi.org/10.5194/egusphere-2024-2723, 2024
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We reconstructed sea ice drift trajectories and identified optimal deployment areas for Lagrangian observations. It revealed a preference for ice advection towards the Transpolar Drift region over the Beaufort Gyre, with endpoints influenced by large-scale atmospheric circulation patterns. This study could help the future ice camp/buoy deployment strategies, ensuring the sustainability of crucial Arctic observations in the face of changing environmental conditions.
Yi Zhou, Xianwei Wang, Ruibo Lei, Arttu Jutila, Donald K. Perovich, Luisa von Albedyll, Dmitry V. Divine, Yu Zhang, and Christian Haas
EGUsphere, https://doi.org/10.5194/egusphere-2024-2821, https://doi.org/10.5194/egusphere-2024-2821, 2024
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This study examines how the bulk density of Arctic sea ice varies seasonally, a factor often overlooked in satellite measurements of sea ice thickness. From October to April, we found significant seasonal variations in sea ice bulk density at different spatial scales using direct observations as well as airborne and satellite data. New models were then developed to indirectly predict sea ice bulk density. This advance can improve our ability to monitor changes in Arctic sea ice.
Salar Karam, Céline Heuzé, Mario Hoppmann, and Laura de Steur
Ocean Sci., 20, 917–930, https://doi.org/10.5194/os-20-917-2024, https://doi.org/10.5194/os-20-917-2024, 2024
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A long-term mooring array in the Fram Strait allows for an evaluation of decadal trends in temperature in this major oceanic gateway into the Arctic. Since the 1980s, the deep waters of the Greenland Sea and the Eurasian Basin of the Arctic have warmed rapidly at a rate of 0.11°C and 0.05°C per decade, respectively, at a depth of 2500 m. We show that the temperatures of the two basins converged around 2017 and that the deep waters of the Greenland Sea are now a heat source for the Arctic Ocean.
Madison M. Smith, Niels Fuchs, Evgenii Salganik, Donald K. Perovich, Ian Raphael, Mats A. Granskog, Kirstin Schulz, Matthew D. Shupe, and Melinda Webster
EGUsphere, https://doi.org/10.5194/egusphere-2024-1977, https://doi.org/10.5194/egusphere-2024-1977, 2024
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The fate of freshwater from Arctic sea ice and snow melt impacts interactions of the atmosphere, sea ice, and ocean. We complete a comprehensive analysis of datasets from a Central Arctic field campaign in 2020 to understand the drivers of the sea ice freshwater budget and the fate of this water. Over half of the freshwater comes from surface melt, and a majority fraction is incorporated into the ocean. Results suggest that the representation of melt ponds is a key area for future development.
Ivan Kuznetsov, Benjamin Rabe, Alexey Androsov, Ying-Chih Fang, Mario Hoppmann, Alejandra Quintanilla-Zurita, Sven Harig, Sandra Tippenhauer, Kirstin Schulz, Volker Mohrholz, Ilker Fer, Vera Fofonova, and Markus Janout
Ocean Sci., 20, 759–777, https://doi.org/10.5194/os-20-759-2024, https://doi.org/10.5194/os-20-759-2024, 2024
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Our research introduces a tool for dynamically mapping the Arctic Ocean using data from the MOSAiC experiment. Incorporating extensive data into a model clarifies the ocean's structure and movement. Our findings on temperature, salinity, and currents reveal how water layers mix and identify areas of intense water movement. This enhances understanding of Arctic Ocean dynamics and supports climate impact studies. Our work is vital for comprehending this key region in global climate science.
Yi Zhou, Xianwei Wang, Ruibo Lei, Luisa von Albedyll, Donald K. Perovich, Yu Zhang, and Christian Haas
EGUsphere, https://doi.org/10.5194/egusphere-2024-1240, https://doi.org/10.5194/egusphere-2024-1240, 2024
Preprint archived
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This study examines how the density of Arctic sea ice varies seasonally, a factor often overlooked in satellite measurements of sea ice thickness. From October to April, using direct observations and satellite data, we found that sea ice density decreases significantly until mid-January due to increased porosity as the ice ages, and then stabilizes until April. We then developed new models to estimate sea ice density. This advance can improve our ability to monitor changes in Arctic sea ice.
Miao Yu, Peng Lu, Matti Leppäranta, Bin Cheng, Ruibo Lei, Bingrui Li, Qingkai Wang, and Zhijun Li
The Cryosphere, 18, 273–288, https://doi.org/10.5194/tc-18-273-2024, https://doi.org/10.5194/tc-18-273-2024, 2024
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Variations in Arctic sea ice are related not only to its macroscale properties but also to its microstructure. Arctic ice cores in the summers of 2008 to 2016 were used to analyze variations in the ice inherent optical properties related to changes in the ice microstructure. The results reveal changing ice microstructure greatly increased the amount of solar radiation transmitted to the upper ocean even when a constant ice thickness was assumed, especially in marginal ice zones.
Céline Heuzé, Oliver Huhn, Maren Walter, Natalia Sukhikh, Salar Karam, Wiebke Körtke, Myriel Vredenborg, Klaus Bulsiewicz, Jürgen Sültenfuß, Ying-Chih Fang, Christian Mertens, Benjamin Rabe, Sandra Tippenhauer, Jacob Allerholt, Hailun He, David Kuhlmey, Ivan Kuznetsov, and Maria Mallet
Earth Syst. Sci. Data, 15, 5517–5534, https://doi.org/10.5194/essd-15-5517-2023, https://doi.org/10.5194/essd-15-5517-2023, 2023
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Gases dissolved in the ocean water not used by the ecosystem (or "passive tracers") are invaluable to track water over long distances and investigate the processes that modify its properties. Unfortunately, especially so in the ice-covered Arctic Ocean, such gas measurements are sparse. We here present a data set of several passive tracers (anthropogenic gases, noble gases and their isotopes) collected over the full ocean depth, weekly, during the 1-year drift in the Arctic during MOSAiC.
Fanyi Zhang, Ruibo Lei, Mengxi Zhai, Xiaoping Pang, and Na Li
The Cryosphere, 17, 4609–4628, https://doi.org/10.5194/tc-17-4609-2023, https://doi.org/10.5194/tc-17-4609-2023, 2023
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Atmospheric circulation anomalies lead to high Arctic sea ice outflow in winter 2020, causing heavy ice conditions in the Barents–Greenland seas, subsequently impeding the sea surface temperature warming. This suggests that the winter–spring Arctic sea ice outflow can be considered a predictor of changes in sea ice and other marine environmental conditions in the Barents–Greenland seas, which could help to improve our understanding of the physical connections between them.
Ying Chen, Ruibo Lei, Xi Zhao, Shengli Wu, Yue Liu, Pei Fan, Qing Ji, Peng Zhang, and Xiaoping Pang
Earth Syst. Sci. Data, 15, 3223–3242, https://doi.org/10.5194/essd-15-3223-2023, https://doi.org/10.5194/essd-15-3223-2023, 2023
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The sea ice concentration product derived from the Microwave Radiation Image sensors on board the FengYun-3 satellites can reasonably and independently identify the seasonal and long-term changes of sea ice, as well as extreme cases of annual maximum and minimum sea ice extent in polar regions. It is comparable with other sea ice concentration products and applied to the studies of climate and marine environment.
Vishnu Nandan, Rosemary Willatt, Robbie Mallett, Julienne Stroeve, Torsten Geldsetzer, Randall Scharien, Rasmus Tonboe, John Yackel, Jack Landy, David Clemens-Sewall, Arttu Jutila, David N. Wagner, Daniela Krampe, Marcus Huntemann, Mallik Mahmud, David Jensen, Thomas Newman, Stefan Hendricks, Gunnar Spreen, Amy Macfarlane, Martin Schneebeli, James Mead, Robert Ricker, Michael Gallagher, Claude Duguay, Ian Raphael, Chris Polashenski, Michel Tsamados, Ilkka Matero, and Mario Hoppmann
The Cryosphere, 17, 2211–2229, https://doi.org/10.5194/tc-17-2211-2023, https://doi.org/10.5194/tc-17-2211-2023, 2023
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We show that wind redistributes snow on Arctic sea ice, and Ka- and Ku-band radar measurements detect both newly deposited snow and buried snow layers that can affect the accuracy of snow depth estimates on sea ice. Radar, laser, meteorological, and snow data were collected during the MOSAiC expedition. With frequent occurrence of storms in the Arctic, our results show that
wind-redistributed snow needs to be accounted for to improve snow depth estimates on sea ice from satellite radars.
Hengling Leng, Hailun He, and Michael A. Spall
Ocean Sci., 19, 289–304, https://doi.org/10.5194/os-19-289-2023, https://doi.org/10.5194/os-19-289-2023, 2023
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The Chukchi continental slope is one of the most energetic regions in the western Arctic Ocean as it is populated with strong boundary currents and mesoscale eddies. Using a set of experiments with an idealized primitive equation numerical model, we find that the ice friction can cause the loss of energy of both the Chukchi Slope Current and mesoscale eddies over a vertical scale of 100 m through Ekman pumping. Some scales for measuring the effects of ice friction are also provided.
Na Li, Ruibo Lei, Petra Heil, Bin Cheng, Minghu Ding, Zhongxiang Tian, and Bingrui Li
The Cryosphere, 17, 917–937, https://doi.org/10.5194/tc-17-917-2023, https://doi.org/10.5194/tc-17-917-2023, 2023
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The observed annual maximum landfast ice (LFI) thickness off Zhongshan (Davis) was 1.59±0.17 m (1.64±0.08 m). Larger interannual and local spatial variabilities for the seasonality of LFI were identified at Zhongshan, with the dominant influencing factors of air temperature anomaly, snow atop, local topography and wind regime, and oceanic heat flux. The variability of LFI properties across the study domain prevailed at interannual timescales, over any trend during the recent decades.
Ruibo Lei, Mario Hoppmann, Bin Cheng, Marcel Nicolaus, Fanyi Zhang, Benjamin Rabe, Long Lin, Julia Regnery, and Donald K. Perovich
The Cryosphere Discuss., https://doi.org/10.5194/tc-2023-25, https://doi.org/10.5194/tc-2023-25, 2023
Manuscript not accepted for further review
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To characterize the freezing and melting of different types of sea ice, we deployed four IMBs during the MOSAiC second drift. The drifting pattern, together with a large snow accumulation, relatively warm air temperatures, and a rapid increase in oceanic heat close to Fram Strait, determined the seasonal evolution of the ice mass balance. The refreezing of ponded ice and voids within the unconsolidated ridges amplifies the anisotropy of the heat exchange between the ice and the atmosphere/ocean.
Mario Hoppmann, Ivan Kuznetsov, Ying-Chih Fang, and Benjamin Rabe
Earth Syst. Sci. Data, 14, 4901–4921, https://doi.org/10.5194/essd-14-4901-2022, https://doi.org/10.5194/essd-14-4901-2022, 2022
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The role of eddies and fronts in the oceans is a hot topic in climate research, but there are still many related knowledge gaps, particularly in the ice-covered Arctic Ocean. Here we present a unique dataset of ocean observations collected by a set of drifting buoys installed on ice floes as part of the 2019/2020 MOSAiC campaign. The buoys recorded temperature and salinity data for 10 months, providing extraordinary insights into the properties and processes of the ocean along their drift.
Yu Liang, Haibo Bi, Haijun Huang, Ruibo Lei, Xi Liang, Bin Cheng, and Yunhe Wang
The Cryosphere, 16, 1107–1123, https://doi.org/10.5194/tc-16-1107-2022, https://doi.org/10.5194/tc-16-1107-2022, 2022
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A record minimum July sea ice extent, since 1979, was observed in 2020. Our results reveal that an anomalously high advection of energy and water vapor prevailed during spring (April to June) 2020 over regions with noticeable sea ice retreat. The large-scale atmospheric circulation and cyclones act in concert to trigger the exceptionally warm and moist flow. The convergence of the transport changed the atmospheric characteristics and the surface energy budget, thus causing a severe sea ice melt.
Wangwang Ye, Hermann W. Bange, Damian L. Arévalo-Martínez, Hailun He, Yuhong Li, Jianwen Wen, Jiexia Zhang, Jian Liu, Man Wu, and Liyang Zhan
Biogeosciences Discuss., https://doi.org/10.5194/bg-2021-334, https://doi.org/10.5194/bg-2021-334, 2022
Manuscript not accepted for further review
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CH4 is the second important greenhouse gas after CO2. We show that CH4 consumption and sea-ice melting influence the CH4 distribution in the Ross Sea (Southern Ocean), causing undersaturation and net uptake of CH4 during summertime. This study confirms the capability of surface water in the high-latitude Southern Ocean regions to take up atmospheric CH4 which, in turn, will help to improve predictions of how CH4 release/uptake from the ocean will develop when sea-ice retreats in the future.
Marika M. Holland, David Clemens-Sewall, Laura Landrum, Bonnie Light, Donald Perovich, Chris Polashenski, Madison Smith, and Melinda Webster
The Cryosphere, 15, 4981–4998, https://doi.org/10.5194/tc-15-4981-2021, https://doi.org/10.5194/tc-15-4981-2021, 2021
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As the most reflective and most insulative natural material, snow has important climate effects. For snow on sea ice, its high reflectivity reduces ice melt. However, its high insulating capacity limits ice growth. These counteracting effects make its net influence on sea ice uncertain. We find that with increasing snow, sea ice in both hemispheres is thicker and more extensive. However, the drivers of this response are different in the two hemispheres due to different climate conditions.
Don Perovich, Madison Smith, Bonnie Light, and Melinda Webster
The Cryosphere, 15, 4517–4525, https://doi.org/10.5194/tc-15-4517-2021, https://doi.org/10.5194/tc-15-4517-2021, 2021
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During summer, Arctic sea ice melts on its surface and bottom and lateral edges. Some of this fresh meltwater is stored on the ice surface in features called melt ponds. The rest flows into the ocean. The meltwater flowing into the upper ocean affects ice growth and melt, upper ocean properties, and ocean ecosystems. Using field measurements, we found that the summer meltwater was equal to an 80 cm thick layer; 85 % of this meltwater flowed into the ocean and 15 % was stored in melt ponds.
Ruibo Lei, Mario Hoppmann, Bin Cheng, Guangyu Zuo, Dawei Gui, Qiongqiong Cai, H. Jakob Belter, and Wangxiao Yang
The Cryosphere, 15, 1321–1341, https://doi.org/10.5194/tc-15-1321-2021, https://doi.org/10.5194/tc-15-1321-2021, 2021
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Quantification of ice deformation is useful for understanding of the role of ice dynamics in climate change. Using data of 32 buoys, we characterized spatiotemporal variations in ice kinematics and deformation in the Pacific sector of Arctic Ocean for autumn–winter 2018/19. Sea ice in the south and west has stronger mobility than in the east and north, which weakens from autumn to winter. An enhanced Arctic dipole and weakened Beaufort Gyre in winter lead to an obvious turning of ice drifting.
Christian Katlein, Lovro Valcic, Simon Lambert-Girard, and Mario Hoppmann
The Cryosphere, 15, 183–198, https://doi.org/10.5194/tc-15-183-2021, https://doi.org/10.5194/tc-15-183-2021, 2021
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To improve autonomous investigations of sea ice optical properties, we designed a chain of multispectral light sensors, providing autonomous in-ice light measurements. Here we describe the system and the data acquired from a first prototype deployment. We show that sideward-looking planar irradiance sensors basically measure scalar irradiance and demonstrate the use of this sensor chain to derive light transmittance and inherent optical properties of sea ice.
Julienne Stroeve, Vishnu Nandan, Rosemary Willatt, Rasmus Tonboe, Stefan Hendricks, Robert Ricker, James Mead, Robbie Mallett, Marcus Huntemann, Polona Itkin, Martin Schneebeli, Daniela Krampe, Gunnar Spreen, Jeremy Wilkinson, Ilkka Matero, Mario Hoppmann, and Michel Tsamados
The Cryosphere, 14, 4405–4426, https://doi.org/10.5194/tc-14-4405-2020, https://doi.org/10.5194/tc-14-4405-2020, 2020
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This study provides a first look at the data collected by a new dual-frequency Ka- and Ku-band in situ radar over winter sea ice in the Arctic Ocean. The instrument shows potential for using both bands to retrieve snow depth over sea ice, as well as sensitivity of the measurements to changing snow and atmospheric conditions.
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
Hailun He, Yuan Wang, Xiqiu Han, Yanzhou Wei, Pengfei Lin, Zhongyan Qiu, and Yejian Wang
Ocean Sci., 16, 895–906, https://doi.org/10.5194/os-16-895-2020, https://doi.org/10.5194/os-16-895-2020, 2020
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Ocean profiling observation in the Indian Ocean is not sufficient. We conducted a hydrographic survey on the Carlsberg Ridge, which is a mid-ocean ridge in the northwest Indian Ocean, to obtain snapshots of sectional temperature, salinity, and density fields by combining the ARGO data. The results show mesoscale eddies located along the specific ridge and the existence of a west-propagating planetary wave. The results provide references in the regional ocean circulation.
Thomas Krumpen, Florent Birrien, Frank Kauker, Thomas Rackow, Luisa von Albedyll, Michael Angelopoulos, H. Jakob Belter, Vladimir Bessonov, Ellen Damm, Klaus Dethloff, Jari Haapala, Christian Haas, Carolynn Harris, Stefan Hendricks, Jens Hoelemann, Mario Hoppmann, Lars Kaleschke, Michael Karcher, Nikolai Kolabutin, Ruibo Lei, Josefine Lenz, Anne Morgenstern, Marcel Nicolaus, Uwe Nixdorf, Tomash Petrovsky, Benjamin Rabe, Lasse Rabenstein, Markus Rex, Robert Ricker, Jan Rohde, Egor Shimanchuk, Suman Singha, Vasily Smolyanitsky, Vladimir Sokolov, Tim Stanton, Anna Timofeeva, Michel Tsamados, and Daniel Watkins
The Cryosphere, 14, 2173–2187, https://doi.org/10.5194/tc-14-2173-2020, https://doi.org/10.5194/tc-14-2173-2020, 2020
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In October 2019 the research vessel Polarstern was moored to an ice floe in order to travel with it on the 1-year-long MOSAiC journey through the Arctic. Here we provide historical context of the floe's evolution and initial state for upcoming studies. We show that the ice encountered on site was exceptionally thin and was formed on the shallow Siberian shelf. The analyses presented provide the initial state for the analysis and interpretation of upcoming biogeochemical and ecological studies.
Alice K. DuVivier, Patricia DeRepentigny, Marika M. Holland, Melinda Webster, Jennifer E. Kay, and Donald Perovich
The Cryosphere, 14, 1259–1271, https://doi.org/10.5194/tc-14-1259-2020, https://doi.org/10.5194/tc-14-1259-2020, 2020
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In autumn 2019, a ship will be frozen into the Arctic sea ice for a year to study system changes. We analyze climate model data from a group of experiments and follow virtual sea ice floes throughout a year. The modeled sea ice conditions along possible tracks are highly variable. Observations that sample a wide range of sea ice conditions and represent the variety and diversity in possible conditions are necessary for improving climate model parameterizations over all types of sea ice.
Dawei Gui, Xiaoping Pang, Ruibo Lei, Xi Zhao, and Jia Wang
Abstr. Int. Cartogr. Assoc., 1, 101, https://doi.org/10.5194/ica-abs-1-101-2019, https://doi.org/10.5194/ica-abs-1-101-2019, 2019
Donald K. Perovich
The Cryosphere, 12, 2159–2165, https://doi.org/10.5194/tc-12-2159-2018, https://doi.org/10.5194/tc-12-2159-2018, 2018
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The balance of longwave and shortwave radiation plays a central role in the summer melt of Arctic sea ice. It is governed by clouds and surface albedo. The basic question is what causes more melting, sunny skies or cloudy skies. It depends on the albedo of the ice surface. For snow-covered or bare ice, sunny skies always result in less radiative heat input. In contrast, the open ocean always has, and melt ponds usually have, more radiative input under sunny skies than cloudy skies.
Related subject area
Discipline: Sea ice | Subject: Mass Balance Obs
Observations of preferential summer melt of Arctic sea-ice ridge keels from repeated multibeam sonar surveys
Evgenii Salganik, Benjamin A. Lange, Christian Katlein, Ilkka Matero, Philipp Anhaus, Morven Muilwijk, Knut V. Høyland, and Mats A. Granskog
The Cryosphere, 17, 4873–4887, https://doi.org/10.5194/tc-17-4873-2023, https://doi.org/10.5194/tc-17-4873-2023, 2023
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The Arctic Ocean is covered by a layer of sea ice that can break up, forming ice ridges. Here we measure ice thickness using an underwater sonar and compare ice thickness reduction for different ice types. We also study how the shape of ridged ice influences how it melts, showing that deeper, steeper, and narrower ridged ice melts the fastest. We show that deformed ice melts 3.8 times faster than undeformed ice at the bottom ice--ocean boundary, while at the surface they melt at a similar rate.
Cited articles
Ackley, S. F., Xie, H., and Tichenor, E. A.: Ocean heat flux under
Antarctic sea ice in the Bellingshausen and Amundsen Seas: two case studies,
Ann. Glaciol., 56, 200–210, https://doi.org/10.3189/2015AoG69A890, 2015.
Ardyna, M. and Arrigo, K. R.: Phytoplankton dynamics in a changing Arctic
Ocean, Nat. Clim. Change, 10, 892–903, https://doi.org/10.1038/s41558-020-0905-y,
2020.
Bliss, A. C. and Anderson, M. R.: Arctic Sea Ice Melt Onset Timing From
Passive Microwave-Based and Surface Air Temperature-Based Methods, J.
Geophys. Res.-Atmos., 123, 9063–9080,
https://doi.org/10.1029/2018JD028676, 2018.
Bliss, A. C., Miller, J. A., and Meier, W. N.: Comparison of passive
microwave-derived early melt onset records on Arctic sea ice, Remote Sens.,
9, 199, https://doi.org/10.3390/rs9030199, 2017.
Cole, S. T., Timmermans, M. L., Toole, J. M., Krishfield, R. A., and
Thwaites, F. T.: Ekman veering, internal waves, and turbulence observed
under Arctic sea ice, J. Phys. Oceanogr., 44, 1306–1328,
https://doi.org/10.1175/JPO-D-12-0191.1, 2014.
Derksen, C., Smith, S. L., Sharp, M., Brown, L., Howell, S., Copland, L.,
Mueller, D. R., Gauthier, Y., Fletcher, C. G., Tivy, A., and Bernier, M.:
Variability and change in the Canadian cryosphere, Climatic Change, 115,
59–88, https://doi.org/10.1007/s10584-012-0470-0, 2012.
Drinkwater, M. R. and Liu, X.: Seasonal to interannual variability in
Antarctic sea-ice surface melt, IEEE T. Geosci. Remote, 38,
1827–1842, https://doi.org/10.1109/36.851767, 2000.
Eicken, H.: Structure of under-ice melt ponds in the central Arctic and
their effect on, the sea-ice cover, Limnol. Oceanogr., 39, 682–693,
https://doi.org/10.4319/lo.1994.39.3.0682, 1994.
Eicken, H., Dmitrenko, I., Tyshko, K., Darovskikh, A., Dierking, W., Blahak,
U., Groves, J., and Kassens, H.: Zonation of the Laptev Sea landfast ice
cover and its importance in a frozen estuary, Glob. Planet. Change.,
48, 55-83, https://doi.org/10.1016/j.gloplacha.2004.12.005, 2005.
European Centre for Medium-Range Weather Forecasts (ECMWF): ERA5 Reanalysis (0.25 Degree Latitude-Longitude Grid), Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory [data set], https://doi.org/10.5065/BH6N-5N20, 2019.
Hansen, E., Ekeberg, O.-C., Gerland, S., Pavlova, O., Spreen, G., and
Tschudi, M.: Variability in categories of Arctic sea ice in Fram Strait, J.
Geophys. Res.-Oceans, 119, 7175–7189, https://doi.org/10.1002/2014JC010048, 2014.
Howell, S. E., Small, D., Rohner, C., Mahmud, M. S., Yackel, J. J., and
Brady, M.: Estimating melt onset over Arctic sea ice from time series
multi-sensor Sentinel-1 and RADARSAT-2 backscatter, Remote Sens. Environ.,
229, 48–59, https://doi.org/10.1016/j.rse.2019.04.031, 2019.
Ivanov, V., Alexeev, V., Koldunov, N. V., Repina, I., Sandø, A. B.,
Smedsrud, L. H., and Smirnov, A.: Arctic Ocean heat impact on regional ice
decay: A suggested positive feedback, J. Phys. Oceanogr., 46, 1437–1456,
https://doi.org/10.1175/JPO-D-15-0144.1, 2016.
Jackson, J. M., Carmack, E. C., McLaughlin, F. A., Allen, S. E., and
Ingram, R. G.: Identification, characterization, and change of the
near-surface temperature maximum in the Canada Basin, 1993–2008, J.
Geophys. Res.-Oceans, 115, C05021, https://doi.org/10.1029/2009JC005265, 2010.
Jackson, J. M., Williams, W. J., and Carmack, E. C.: Winter sea-ice melt in
the Canada Basin, Arctic Ocean, Geophys. Res. Lett., 39, L03603,
https://doi.org/10.1029/2011GL050219, 2012.
Kapsch, M. L., Graversen, R. G., Tjernstrom, M., and Bintanja, R.: The
Effect of Downwelling Longwave and Shortwave Radiation on Arctic Summer Sea
Ice, J. Climate, 29, 1143–1159, https://doi.org/10.1175/JCLI-D-15-0238.1, 2016.
Krishfield, R., Toole, J., Proshutinsky, A., and Timmermans, M. L.:
Automated ice-tethered profilers for seawater observations under pack ice in
all seasons, J. Atmos. Ocean. Tech., 25, 2091–2105,
https://doi.org/10.1175/2008JTECHO587.1, 2008a.
Krishfield, R., Toole, J., and Timmermans, M. L.: ITP data processing
procedures, Woods Hole Oceanographic Institution Tech. Rep., 24, https://www2.whoi.edu/site/itp/wp-content/uploads/sites/92/2019/08/ITP_Data_Processing_Procedures_35803.pdf (last access: 7 March 2022), 2008b.
Krishfield, R. A. and Perovich, D. K.: Spatial and temporal variability of
oceanic heat flux to the Arctic ice pack, J. Geophys. Res.-Oceans, 110, C07021,
https://doi.org/10.1029/2004JC002293, 2005.
Krishfield, R. A., Proshutinsky, A., Tateyama, K., Williams, W. J., Carmack,
E. C., McLaughlin, F. A., and Timmermans, M.-L.: Deterioration of perennial
sea ice in the Beaufort Gyre from 2003 to 2012 and its impact on the oceanic
freshwater cycle, J. Geophys. Res.-Oceans, 119, 1271–1305,
https://doi.org/10.1002/2013JC008999, 2014.
Kwok, R., Cunningham, G. F., and Armitage, T. W. K.: Relationship between
specular returns in CryoSat-2 data, surface albedo, and Arctic summer
minimum ice extent, Elem. Sci. Anth., 6, 53, https://doi.org/10.1525/elementa.311, 2018.
Laxon, S. W., Giles, K. A., Ridout, A. L., Wingham, D. J., Willatt, R.,
Cullen, R., Kwok, R., Schweiger, A., Zhang, J., Haas, C., Hendricks, S.,
Krishfield, R., Kurtz, N., Farrell S., and Davidson, M.: CryoSat-2 estimates
of Arctic sea ice thickness and volume, Geophys. Res. Lett., 40, 732–737,
https://doi.org/10.1002/grl.50193, 2013.
Ledley, T. S.: Snow on sea ice: Competing effects in shaping climate, J.
Geophys. Res.-Atmos., 96, 17195–17208, https://doi.org/10.1029/91JD01439,
1991.
Lei, R., Li, N., Heil, P., Cheng, B., Zhang, Z., and Sun, B.: Multiyear
sea-ice thermal regimes and oceanic heat flux derived from an ice mass
balance buoy in the Arctic Ocean, J. Geophys. Res.-Oceans, 119, 537–547,
https://doi.org/10.1002/2012JC008731, 2014.
Lei, R., Cheng, B., Heil, P., Vihma, T., Wang, J., Ji, Q., and Zhang, Z.:
Seasonal and interannual variations of sea ice mass balance from the Central
Arctic to the Greenland Sea, J. Geophys. Res.-Oceans 123, 2422–2439,
https://doi.org/10.1002/2017JC013548, 2018.
Lei, R., Hoppmann, M., Cheng, B., Zuo, G., Gui, D., Cai, Q., Belter, H. J., and Yang, W.: Seasonal changes in sea ice kinematics and deformation in the Pacific sector of the Arctic Ocean in 2018/19, The Cryosphere, 15, 1321–1341, https://doi.org/10.5194/tc-15-1321-2021, 2021.
Lei, R., Cheng, B., Hoppmann, M., Zhang, F., Zuo. G., Hutchings. J. K., Lin,
L., Lan, M., Wang, H., Regnery, J., Krumpen, T., Rabe, B., Perovich, D. K.,
and Nicolaus, M.: Seasonal timing of sea ice mass balance and heat fluxes
along the Arctic Transpolar Drift, Elem.-Sci. Anth., 10, 000089,
https://doi.org/10.1525/elementa.2021.000089, 2022.
Lin, L., and Zhao, J.: Estimation of Oceanic Heat Flux Under Sea Ice in the
Arctic Ocean, J. Ocean Univ. China, 18, 605–614,
https://doi.org/10.1007/s11802-019-3877-7, 2019.
Lindsay, R. W.: Temporal variability of the energy balance of thick Arctic pack ice, J. Climate, 11, 313–333, https://doi.org/10.1175/1520-0442(1998)011<0313:TVOTEB>2.0.CO;2, 1998.
Mahmud, M. S., Howell, S. E., Geldsetzer, T., and Yackel, J.: Detection of
melt onset over the northern Canadian Arctic Archipelago sea ice from
RADARSAT, 1997–2014, Remote Sens. Environ., 178, 59–69,
https://doi.org/10.1016/j.rse.2016.03.003, 2016.
Maksimovich, E. and Vihma, T.: The effect of surface heat fluxes on
interannual variability in the spring onset of snowmelt in the central
Arctic Ocean, J. Geophys. Res.-Oceans, 117, C07012,
https://doi.org/10.1029/2011JC007220, 2012.
Markus, T., Stroeve, J. C., and Miller, J.: Recent changes in Arctic sea ice
melt onset, freeze-up, and melt season length, J. Geophys. Res., 114,
C07005, https://doi.org/10.1029/2009JC005436, 2009 (data available at: https://earth.gsfc.nasa.gov/cryo/data/arctic-sea-ice-melt, last access: 31 December 2021).
McPhee, M. G.: Turbulent heat flux in the upper-ocean under sea ice, J.
Geophys. Res.-Oceans, 97, 5365–5379, https://doi.org/10.1029/92JC00239, 1992.
McPhee, M. G., Kikuchi, T., Morison, J. H., and Stanton, T. P.: Ocean-to-ice
heat flux at the North Pole environmental observatory, Geophys. Res. Lett.,
30, 2274, https://doi.org/10.1029/2003GL018580, 2003.
NOAA National Geophysical Data Center: 2-minute Gridded Global Relief Data (ETOPO2) v2, NOAA National Centers for Environmental Information [data set], https://doi.org/10.7289/V5J1012Q, 2006.
Perovich, D. K. and Polashenski, C.: Albedo evolution of seasonal Arctic
sea ice, Geophys. Res. Lett., 39, L08501, https://doi.org/10.1029/2012GL051432, 2012.
Perovich, D. K. and Richter-Menge, J. A.: Regional variability in sea ice
melt in a changing Arctic, Philos. T. R. Soc.
A, 373, 20140165,
https://doi.org/10.1098/rsta.2014.0165, 2015.
Perovich, D. K., Grenfell, T. C., Richter-Menge, J. A., Light, B., Tucker
III, W. B., and Eicken, H.: Thin and thinner: Sea ice mass balance
measurements during SHEBA, J. Geophys. Res., 108, 8050,
https://doi.org/10.1029/2001JC001079, 2003.
Perovich, D. K., Jones, K. F., Light, B., Eicken, H., Markus, T., Stroeve,
J., and Lindsay, R.: Solar partitioning in a changing Arctic sea-ice
cover, Ann. Glaciol., 52, 192–196, https://doi.org/10.3189/172756411795931543, 2011.
Perovich, D., Richter-Menge, J., Polashenski, C., Elder, B., Arbetter, T.,
and Brennick, O.: Sea ice mass balance observations from the North Pole
Environmental Observatory, Geophys. Res. Lett., 41, 2019–2025,
https://doi.org/10.1002/2014GL059356, 2014.
Perovich, D., Richter-Menge, J., and Polashenski, C.: Observing and understanding climate change: Monitoring the mass balance, motion, and thickness of Arctic sea ice,
The CRREL-Dartmouth Mass Balance Buoy Program [data set], http://imb-crrel-dartmouth.org/archived-data/, last access: 4 January 2022.
Persson, P. O. G.: Onset and end of the summer melt season over sea ice:
Thermal structure and surface energy perspective from SHEBA, Clim.
Dynam., 39, 1349–1371, https://doi.org/10.1007/s00382-011-1196-9, 2012.
Peterson, A. K., Fer, I., McPhee, M. G., and Randelhoff, A.: Turbulent heat
and momentum fluxes in the upper-ocean under Arctic sea ice, J. Geophys.
Res.-Oceans, 122, 1439–1456, https://doi.org/10.1002/2016JC012283, 2017.
Petty, A. A., Kurtz, N. T., Kwok, R., Markus, T., and Neumann, T. A.:
Winter Arctic sea ice thickness from ICESat-2 freeboards, J. Geophys. Res.-Oceans, 125, e2019JC015764, https://doi.org/10.1029/2019JC015764, 2020.
Planck, C. J., Perovich, D. K., and Light, B.: A synthesis of observations
and models to assess the time series of sea ice mass balance in the Beaufort
Sea, J. Geophys. Res.-Oceans, 125, e2019JC015833, https://doi.org/10.1029/2019JC015833,
2020.
Proshutinsky, A., Krishfield, R., Timmermans, M.-L., Toole, J., Carmack, E.,
McLaughlin, F., Williams, W. J., Zimmermann, S., Itoh, M., and Shimada, K.:
The BG freshwater reservoir: State and variability from observations, J.
Geophys. Res., 114, C00A10, https://doi.org/10.1029/2008JC005104, 2009.
Provost, C., Sennéchael, N., and Sirven, J.: Contrasted summer processes
in the sea ice for two neighboring floes north of 84∘ N: Surface
and basal melt and false bottom formation, J. Geophys. Res.-Oceans, 124,
3963–3986, https://doi.org/10.1029/2019JC015000, 2019.
Qu, M., Pang, X., Zhao, X., Lei, R., Ji, Q., Liu, Y., and Chen, Y.: Spring
leads in the Beaufort Sea and its interannual trend using Terra/MODIS
thermal imagery, Remote Sens. Environ., 256, 112342,
https://doi.org/10.1016/j.rse.2021.112342, 2021.
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.
Randelhoff, A., Fer, I., and Sundfjord, A.: Turbulent upper-ocean mixing
affected by meltwater layers during Arctic summer, J. Phys. Oceanogr.,
47, 835–853, https://doi.org/10.1175/JPO-D-16-0200.1, 2017.
Ricker, R., Kauker, F., Schweiger, A., Hendricks, S., Zhang, J., and Paul,
S.: Evidence for an increasing role of ocean heat in Arctic winter sea ice
growth, J. Climate, 34, 5215–5227,
https://doi.org/10.1175/JCLI-D-20-0848.1, 2021.
Rigor, I. G., Colony, R. L., and Martin, S.: Variations in surface air
temperature observations in the Arctic, 1979–97, J. Climate, 13, 896–914,
https://doi.org/10.1175/1520-0442(2000)013<0896:VISATO>2.0.CO;2,
2000.
Shaw, W. J., Stanton, T. P., McPhee, M. G., Morison, J. H., and Martinson, D. G.: Role of the upper ocean in the energy budget of Arctic sea ice during SHEBA. J. Geophys. Res.-Oceans, 114, C06012, https://doi.org/10.1029/2008JC004991, 2009.
Shestov, A., Høyland, K., and Ervik, Å.: Decay phase thermodynamics of
ice ridges in the Arctic Ocean, Cold Reg. Sci. Technol., 152, 23–24,
https://doi.org/10.1016/j.coldregions.2018.04.005, 2018.
Smith, A. and Jahn, A.: Definition differences and internal variability affect the simulated Arctic sea ice melt season, The Cryosphere, 13, 1–20, https://doi.org/10.5194/tc-13-1-2019, 2019.
Smith, M. M., von Albedyll, L., Raphael, I. A., Lange, B. A., Matero, I.,
Salganik, E., Webster, M. A., Granskog, M. A., Fong, A., Lei, R., and Light,
B.: Quantifying false bottoms and under-ice meltwater layers beneath Arctic
summer sea ice with fine-scale observations, Elem. Sci. Anth., 10, 000116,
https://doi.org/10.1525/elementa.2021.000116, 2022.
Spreen, G., Kaleschke, L., and Heygster, G.: Sea ice remote sensing using
AMSR-E 89-GHz channels, J. Geophys. Res., 113, C02S03,
https://doi.org/10.1029/2005JC003384, 2008 (data available at: https://seaice.uni-bremen.de/data/, last
access: 31 December 2021).
Stanton, T. P., Shaw, W. J., and Hutchings, J. K.: Observational study of
relationships between incoming reaiation, open water fraction, and
ocean-to-ice heat flux in the Transpolar Drift: 2002–2010. J. Geophys. Res.,
117, C07005, https://doi.org/10.1029/2011JC007871, 2012.
Stroeve, J. C., Markus, T., Boisvert, L., Miller. J., and Barrett, A.:
Changes in Arctic melt season and implications for sea ice loss, Geophys.
Res. Lett., 41, 1216–1225, https://doi.org/10.1002/2013GL058951, 2014.
Sturm, M., Perovich, D. K., and Holmgren, J.: Thermal conductivity and heat
transfer through the snow on the ice of the Beaufort Sea, J. Geophys. Res.,
107, 8043, https://doi.org/10.1029/2000JC000409, 2002.
Tian, L., Gao, Y., Ackley, S. F., Stammerjohn, S., Maksym, T., and
Weissling, B.: Stable isotope clues to the formation and evolution of
refrozen melt ponds on Arctic Sea Ice, J. Geophys. Res.-Oceans, 123,
8887–8901, https://doi.org/10.1029/2018jc013797, 2018.
Timmermans, M. L.: The impact of stored solar heat on Arctic sea ice growth,
Geophys. Res. Lett., 42, 6399–6406, https://doi.org/10.1002/2015GL064541, 2015.
Timmermans, M.-L., Proshutinsky, A., Krishfield, R. A., Perovich, D. K.,
Richter-Menge, J. A., Stanton, T. P., and Toole, J. M.: Surface freshening
in the Arctic Ocean's Eurasian Basin: An apparent consequence of recent
change in the wind-driven circulation, J. Geophys. Res., 116, C00D03,
https://doi.org/10.1029/2011JC006975, 2011.
Toole, J. M., Timmermans, M. L., Perovich, D. K., Krishfield, R. A.,
Proshutinsky, A., and Richter-Menge, J. A.: Influences of the ocean surface
mixed-layer and thermohaline stratification on Arctic Sea ice in the central
Canada Basin, J. Geophys. Res.-Oceans, 115, C10018, https://doi.org/10.1029/2009JC005660,
2010.
Toole, J. M., Krishfield, R. A., Timmermans, M. L., and Proshutinsky, A.:
The ice-tethered profiler: Argo of the Arctic, Oceanography, 24, 126–135,
https://doi.org/10.5670/oceanog.2011.64, 2011.
Tucker III, W. B., Gow, A. J., and Weeks, W. F.: Physical properties of
summer sea ice in the Fram Strait, J. Geophys. Res., 92, 6787–6803,
https://doi.org/10.1029/JC092iC07p06787, 1987.
Untersteiner, N.: On the mass and heat budget of Arctic sea ice. Archiv
für Meteorologie, Geophysik und Bioklimatologie, Serie A, 12, 151–182,
https://doi.org/10.1007/BF02247491, 1961.
Vivier, F., Hutchings, J. K., Kawaguchi, Y., Kikuchi, T., Morison, J. H.,
Lourenço, A., and Noguchi, T.: Sea ice melt onset associated with lead
opening during the spring/summer transition near the North Pole, J. Geophys.
Res.-Oceans, 121, 2499–2522, https://doi.org/10.1002/2015JC011588, 2016.
von Appen, W. J., Waite, A. M., Bergmann, M., Bienhold, C., Boebel, O., Bracher, A., Cisewski, B., Hagemann, J., Hoppema, M., Iversen, M. H., and Konrad, C.: Sea-ice derived meltwater stratification slows the biological carbon pump: results from continuous observations, Nat. Commun., 12, 7309, https://doi.org/10.1038/s41467-021-26943-z, 2021.
Wang, L., Wolken, G. J., Sharp, M. J., Howell, S. E. L., Derksen, C., Brown, R. D., Markus, T., and Cole, J.: Integrated pan-Arctic melt onset detection from satellite active and passive microwave measurements, 2000–2009, J. Geophys. Res.-Atmos., 116, D22103, https://doi.org/10.1029/2011JD016256, 2011.
Wang, Q., Danilov, S., Jung, T., Kaleschke, L., and Wernecke, A.: Sea ice
leads in the Arctic Ocean: Model assessment, interannual variability and
trends, Geophys. Res. Lett., 43, 7019–7027, https://doi.org/10.1002/2016GL068696, 2016.
Wang, Q., Lu, P., Leppäranta, M., Cheng, B., Zhang, G., and Li, Z.:
Physical properties of summer sea ice in the Pacific sector of the Arctic
during 2008–2018, J. Geophys. Res.-Oceans, 125, e2020JC016371,
https://doi.org/10.1029/2020JC016371, 2020.
Wernecke, A. and Kaleschke, L.: Lead detection in Arctic sea ice from CryoSat-2: quality assessment, lead area fraction and width distribution, The Cryosphere, 9, 1955–1968, https://doi.org/10.5194/tc-9-1955-2015, 2015.
Woods Hole Oceanographic Institution: Ice Tethered Profilers Data, Woods Hole Oceanographic Institution [data set], https://www2.whoi.edu/site/itp/data/, last access: 31 December 2021.
Yen, Y. C., Cheng, K. C., and Fukusako, S.: Review of intrinsic
thermophysical properties of snow, ice, sea ice, and frost, in: Proceedings
of the 3rd International Symposium on Cold Regions Heat Transfer, Fairbanks,
AK, 11–14 June 1991, edited by: Zarling, J. P. and Faussett, S. L., Univ. of Alaska, Fairbanks,
187–218, https://scholarworks.alaska.edu/bitstream/handle/11122/1810/The Northern Engineer Vol 23 No 4 & Vol 24 No 1.pdf?sequence=1&isAllowed=y#page=53 (last access: 7 March 2022), 1991.
Zhong, W., Cole, S. T., Zhang, J., Lei, R., and Steele, M.: Increasing winter ocean-to-ice heat flux in the Beaufort Gyre region, Arctic Ocean over 2006–2018, Geophys. Res. Lett., 49, e2021GL096216, https://doi.org/10.1029/2021GL096216, 2022.
Short summary
Ice mass balance observations indicated that average basal melt onset was comparable in the central Arctic Ocean and approximately 17 d earlier than surface melt in the Beaufort Gyre. The average onset of basal growth lagged behind the surface of the pan-Arctic Ocean for almost 3 months. In the Beaufort Gyre, both drifting-buoy observations and fixed-point observations exhibit a trend towards earlier basal melt onset, which can be ascribed to the earlier warming of the surface ocean.
Ice mass balance observations indicated that average basal melt onset was comparable in the...