Articles | Volume 15, issue 6
https://doi.org/10.5194/tc-15-2575-2021
© Author(s) 2021. 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-15-2575-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Interannual variability in Transpolar Drift summer sea ice thickness and potential impact of Atlantification
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Thomas Krumpen
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Luisa von Albedyll
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Tatiana A. Alekseeva
Arctic and Antarctic Research Institute, St. Petersburg, Russian Federation
Gerit Birnbaum
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Sergei V. Frolov
Arctic and Antarctic Research Institute, St. Petersburg, Russian Federation
deceased
Stefan Hendricks
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Andreas Herber
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Igor Polyakov
International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, US
College of Natural Science and Mathematics, University of Alaska Fairbanks, Fairbanks, US
Finnish Meteorological Institute, Helsinki, Finland
Ian Raphael
Thayer School of Engineering at Dartmouth College, Hanover, US
Robert Ricker
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Sergei S. Serovetnikov
Arctic and Antarctic Research Institute, St. Petersburg, Russian Federation
Melinda Webster
Geophysical Institute, University of Alaska Fairbanks, Fairbanks, US
Christian Haas
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Physics/Electrical Engineering (Faculty 1), University of Bremen, Bremen, Germany
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Biogeosciences, 22, 1057–1076, https://doi.org/10.5194/bg-22-1057-2025, https://doi.org/10.5194/bg-22-1057-2025, 2025
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The Cryosphere, 19, 619–644, https://doi.org/10.5194/tc-19-619-2025, https://doi.org/10.5194/tc-19-619-2025, 2025
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The Cryosphere, 18, 5769–5788, https://doi.org/10.5194/tc-18-5769-2024, https://doi.org/10.5194/tc-18-5769-2024, 2024
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-234, https://doi.org/10.5194/essd-2024-234, 2024
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Earth Syst. Sci. Data, 16, 3149–3170, https://doi.org/10.5194/essd-16-3149-2024, https://doi.org/10.5194/essd-16-3149-2024, 2024
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The Cryosphere, 18, 2991–3015, https://doi.org/10.5194/tc-18-2991-2024, https://doi.org/10.5194/tc-18-2991-2024, 2024
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EGUsphere, https://doi.org/10.5194/egusphere-2024-1240, https://doi.org/10.5194/egusphere-2024-1240, 2024
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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.
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The Cryosphere, 18, 2207–2222, https://doi.org/10.5194/tc-18-2207-2024, https://doi.org/10.5194/tc-18-2207-2024, 2024
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Qiang Wang, Qi Shu, Alexandra Bozec, Eric P. Chassignet, Pier Giuseppe Fogli, Baylor Fox-Kemper, Andy McC. Hogg, Doroteaciro Iovino, Andrew E. Kiss, Nikolay Koldunov, Julien Le Sommer, Yiwen Li, Pengfei Lin, Hailong Liu, Igor Polyakov, Patrick Scholz, Dmitry Sidorenko, Shizhu Wang, and Xiaobiao Xu
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Increasing resolution improves model skills in simulating the Arctic Ocean, but other factors such as parameterizations and numerics are at least of the same importance for obtaining reliable simulations.
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An important Arctic climate process is the release of heat fluxes from sea ice openings to the atmosphere that influence the clouds. The characterization of this process is the objective of this study. Using synergistic observations from the MOSAiC expedition, we found that single-layer cloud properties show significant differences when clouds are coupled or decoupled to the water vapour transport which is used as physical link between the upwind sea ice openings and the cloud under observation.
Alexandra M. Zuhr, Erik Loebel, Marek Muchow, Donovan Dennis, Luisa von Albedyll, Frigga Kruse, Heidemarie Kassens, Johanna Grabow, Dieter Piepenburg, Sören Brandt, Rainer Lehmann, Marlene Jessen, Friederike Krüger, Monika Kallfelz, Andreas Preußer, Matthias Braun, Thorsten Seehaus, Frank Lisker, Daniela Röhnert, and Mirko Scheinert
Polarforschung, 91, 73–80, https://doi.org/10.5194/polf-91-73-2023, https://doi.org/10.5194/polf-91-73-2023, 2023
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Polar research is an interdisciplinary and multi-faceted field of research. Its diversity ranges from history to geology and geophysics to social sciences and education. This article provides insights into the different areas of German polar research. This was made possible by a seminar series, POLARSTUNDE, established in the summer of 2020 and organized by the German Society of Polar Research and the German National Committee of the Association of Polar Early Career Scientists (APECS Germany).
Damien Ringeisen, Nils Hutter, and Luisa von Albedyll
The Cryosphere, 17, 4047–4061, https://doi.org/10.5194/tc-17-4047-2023, https://doi.org/10.5194/tc-17-4047-2023, 2023
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When sea ice is put into motion by wind and ocean currents, it deforms following narrow lines. Our two datasets at different locations and resolutions show that the intersection angle between these lines is often acute and rarely obtuse. We use the orientation of narrow lines to gain indications about the mechanical properties of sea ice and to constrain how to design sea-ice mechanical models for high-resolution simulation of the Arctic and improve regional predictions of sea-ice motion.
Ellen M. Buckley, Sinéad L. Farrell, Ute C. Herzfeld, Melinda A. Webster, Thomas Trantow, Oliwia N. Baney, Kyle A. Duncan, Huilin Han, and Matthew Lawson
The Cryosphere, 17, 3695–3719, https://doi.org/10.5194/tc-17-3695-2023, https://doi.org/10.5194/tc-17-3695-2023, 2023
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In this study, we use satellite observations to investigate the evolution of melt ponds on the Arctic sea ice surface. We derive melt pond depth from ICESat-2 measurements of the pond surface and bathymetry and melt pond fraction (MPF) from the classification of Sentinel-2 imagery. MPF increases to a peak of 16 % in late June and then decreases, while depth increases steadily. This work demonstrates the ability to track evolving melt conditions in three dimensions throughout the summer.
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.
Karina von Schuckmann, Audrey Minière, Flora Gues, Francisco José Cuesta-Valero, Gottfried Kirchengast, Susheel Adusumilli, Fiammetta Straneo, Michaël Ablain, Richard P. Allan, Paul M. Barker, Hugo Beltrami, Alejandro Blazquez, Tim Boyer, Lijing Cheng, John Church, Damien Desbruyeres, Han Dolman, Catia M. Domingues, Almudena García-García, Donata Giglio, John E. Gilson, Maximilian Gorfer, Leopold Haimberger, Maria Z. Hakuba, Stefan Hendricks, Shigeki Hosoda, Gregory C. Johnson, Rachel Killick, Brian King, Nicolas Kolodziejczyk, Anton Korosov, Gerhard Krinner, Mikael Kuusela, Felix W. Landerer, Moritz Langer, Thomas Lavergne, Isobel Lawrence, Yuehua Li, John Lyman, Florence Marti, Ben Marzeion, Michael Mayer, Andrew H. MacDougall, Trevor McDougall, Didier Paolo Monselesan, Jan Nitzbon, Inès Otosaka, Jian Peng, Sarah Purkey, Dean Roemmich, Kanako Sato, Katsunari Sato, Abhishek Savita, Axel Schweiger, Andrew Shepherd, Sonia I. Seneviratne, Leon Simons, Donald A. Slater, Thomas Slater, Andrea K. Steiner, Toshio Suga, Tanguy Szekely, Wim Thiery, Mary-Louise Timmermans, Inne Vanderkelen, Susan E. Wjiffels, Tonghua Wu, and Michael Zemp
Earth Syst. Sci. Data, 15, 1675–1709, https://doi.org/10.5194/essd-15-1675-2023, https://doi.org/10.5194/essd-15-1675-2023, 2023
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Earth's climate is out of energy balance, and this study quantifies how much heat has consequently accumulated over the past decades (ocean: 89 %, land: 6 %, cryosphere: 4 %, atmosphere: 1 %). Since 1971, this accumulated heat reached record values at an increasing pace. The Earth heat inventory provides a comprehensive view on the status and expectation of global warming, and we call for an implementation of this global climate indicator into the Paris Agreement’s Global Stocktake.
Felix L. Müller, Stephan Paul, Stefan Hendricks, and Denise Dettmering
The Cryosphere, 17, 809–825, https://doi.org/10.5194/tc-17-809-2023, https://doi.org/10.5194/tc-17-809-2023, 2023
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Thinning sea ice has significant impacts on the energy exchange between the atmosphere and the ocean. In this study we present visual and quantitative comparisons of thin-ice detections obtained from classified Cryosat-2 radar reflections and thin-ice-thickness estimates derived from MODIS thermal-infrared imagery. In addition to good comparability, the results of the study indicate the potential for a deeper understanding of sea ice in the polar seas and improved processing of altimeter data.
Julian Gutt, Stefanie Arndt, David Keith Alan Barnes, Horst Bornemann, Thomas Brey, Olaf Eisen, Hauke Flores, Huw Griffiths, Christian Haas, Stefan Hain, Tore Hattermann, Christoph Held, Mario Hoppema, Enrique Isla, Markus Janout, Céline Le Bohec, Heike Link, Felix Christopher Mark, Sebastien Moreau, Scarlett Trimborn, Ilse van Opzeeland, Hans-Otto Pörtner, Fokje Schaafsma, Katharina Teschke, Sandra Tippenhauer, Anton Van de Putte, Mia Wege, Daniel Zitterbart, and Dieter Piepenburg
Biogeosciences, 19, 5313–5342, https://doi.org/10.5194/bg-19-5313-2022, https://doi.org/10.5194/bg-19-5313-2022, 2022
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Long-term ecological observations are key to assess, understand and predict impacts of environmental change on biotas. We present a multidisciplinary framework for such largely lacking investigations in the East Antarctic Southern Ocean, combined with case studies, experimental and modelling work. As climate change is still minor here but is projected to start soon, the timely implementation of this framework provides the unique opportunity to document its ecological impacts from the very onset.
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.
Julienne Stroeve, Vishnu Nandan, Rosemary Willatt, Ruzica Dadic, Philip Rostosky, Michael Gallagher, Robbie Mallett, Andrew Barrett, Stefan Hendricks, Rasmus Tonboe, Michelle McCrystall, Mark Serreze, Linda Thielke, Gunnar Spreen, Thomas Newman, John Yackel, Robert Ricker, Michel Tsamados, Amy Macfarlane, Henna-Reetta Hannula, and Martin Schneebeli
The Cryosphere, 16, 4223–4250, https://doi.org/10.5194/tc-16-4223-2022, https://doi.org/10.5194/tc-16-4223-2022, 2022
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Impacts of rain on snow (ROS) on satellite-retrieved sea ice variables remain to be fully understood. This study evaluates the impacts of ROS over sea ice on active and passive microwave data collected during the 2019–20 MOSAiC expedition. Rainfall and subsequent refreezing of the snowpack significantly altered emitted and backscattered radar energy, laying important groundwork for understanding their impacts on operational satellite retrievals of various sea ice geophysical variables.
Erik Loebel, Luisa von Albedyll, Rey Mourot, and Lena Nicola
Polarforschung, 90, 29–32, https://doi.org/10.5194/polf-90-29-2022, https://doi.org/10.5194/polf-90-29-2022, 2022
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On the occasion of Polar Week in March 2021 and with the motto
let’s talk fieldwork, APECS Germany hosted an online polar fieldwork panel discussion. Joined by a group of six early-career polar scientists and an audience of over 140 participants, the event provided an informal environment for debating experiences, issues and ideas. This contribution summarizes the event, sharing practical knowledge about polar fieldwork and fieldwork opportunities for early-career scientists.
David N. Wagner, Matthew D. Shupe, Christopher Cox, Ola G. Persson, Taneil Uttal, Markus M. Frey, Amélie Kirchgaessner, Martin Schneebeli, Matthias Jaggi, Amy R. Macfarlane, Polona Itkin, Stefanie Arndt, Stefan Hendricks, Daniela Krampe, Marcel Nicolaus, Robert Ricker, Julia Regnery, Nikolai Kolabutin, Egor Shimanshuck, Marc Oggier, Ian Raphael, Julienne Stroeve, and Michael Lehning
The Cryosphere, 16, 2373–2402, https://doi.org/10.5194/tc-16-2373-2022, https://doi.org/10.5194/tc-16-2373-2022, 2022
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Based on measurements of the snow cover over sea ice and atmospheric measurements, we estimate snowfall and snow accumulation for the MOSAiC ice floe, between November 2019 and May 2020. For this period, we estimate 98–114 mm of precipitation. We suggest that about 34 mm of snow water equivalent accumulated until the end of April 2020 and that at least about 50 % of the precipitated snow was eroded or sublimated. Further, we suggest explanations for potential snowfall overestimation.
Janosch Michaelis, Amelie U. Schmitt, Christof Lüpkes, Jörg Hartmann, Gerit Birnbaum, and Timo Vihma
Earth Syst. Sci. Data, 14, 1621–1637, https://doi.org/10.5194/essd-14-1621-2022, https://doi.org/10.5194/essd-14-1621-2022, 2022
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A major goal of the Springtime Atmospheric Boundary Layer Experiment (STABLE) aircraft campaign was to observe atmospheric conditions during marine cold-air outbreaks (MCAOs) originating from the sea-ice-covered Arctic ocean. Quality-controlled measurements of several meteorological variables collected during 15 vertical aircraft profiles and by 22 dropsondes are presented. The comprehensive data set may be used for validating model results to improve the understanding of future trends in MCAOs.
Klaus Dethloff, Wieslaw Maslowski, Stefan Hendricks, Younjoo J. Lee, Helge F. Goessling, Thomas Krumpen, Christian Haas, Dörthe Handorf, Robert Ricker, Vladimir Bessonov, John J. Cassano, Jaclyn Clement Kinney, Robert Osinski, Markus Rex, Annette Rinke, Julia Sokolova, and Anja Sommerfeld
The Cryosphere, 16, 981–1005, https://doi.org/10.5194/tc-16-981-2022, https://doi.org/10.5194/tc-16-981-2022, 2022
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Sea ice thickness anomalies during the MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) winter in January, February and March 2020 were simulated with the coupled Regional Arctic climate System Model (RASM) and compared with CryoSat-2/SMOS satellite data. Hindcast and ensemble simulations indicate that the sea ice anomalies are driven by nonlinear interactions between ice growth processes and wind-driven sea-ice transports, with dynamics playing a dominant role.
Arttu Jutila, Stefan Hendricks, Robert Ricker, Luisa von Albedyll, Thomas Krumpen, and Christian Haas
The Cryosphere, 16, 259–275, https://doi.org/10.5194/tc-16-259-2022, https://doi.org/10.5194/tc-16-259-2022, 2022
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Sea-ice thickness retrieval from satellite altimeters relies on assumed sea-ice density values because density cannot be measured from space. We derived bulk densities for different ice types using airborne laser, radar, and electromagnetic induction sounding measurements. Compared to previous studies, we found high bulk density values due to ice deformation and younger ice cover. Using sea-ice freeboard, we derived a sea-ice bulk density parameterisation that can be applied to satellite data.
Nele Lamping, Juliane Müller, Jens Hefter, Gesine Mollenhauer, Christian Haas, Xiaoxu Shi, Maria-Elena Vorrath, Gerrit Lohmann, and Claus-Dieter Hillenbrand
Clim. Past, 17, 2305–2326, https://doi.org/10.5194/cp-17-2305-2021, https://doi.org/10.5194/cp-17-2305-2021, 2021
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We analysed biomarker concentrations on surface sediment samples from the Antarctic continental margin. Highly branched isoprenoids and GDGTs are used for reconstructing recent sea-ice distribution patterns and ocean temperatures respectively. We compared our biomarker-based results with data obtained from satellite observations and estimated from a numerical model and find reasonable agreements. Further, we address caveats and provide recommendations for future investigations.
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.
Sean Horvath, Linette Boisvert, Chelsea Parker, Melinda Webster, Patrick Taylor, and Robyn Boeke
The Cryosphere Discuss., https://doi.org/10.5194/tc-2021-297, https://doi.org/10.5194/tc-2021-297, 2021
Preprint withdrawn
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Arctic sea ice has been experiencing a dramatic decline since the late 1970s. A database is presented that combines satellite observations with daily sea ice parcel drift tracks. This dataset consists of daily time series of sea ice parcel locations, sea ice and snow conditions, and atmospheric states. This has multiple applications for the scientific community that can shed light on the atmosphere-snow-sea ice interactions in the changing Arctic environment.
Stefanie Arndt, Christian Haas, Hanno Meyer, Ilka Peeken, and Thomas Krumpen
The Cryosphere, 15, 4165–4178, https://doi.org/10.5194/tc-15-4165-2021, https://doi.org/10.5194/tc-15-4165-2021, 2021
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We present here snow and ice core data from the northwestern Weddell Sea in late austral summer 2019, which allow insights into possible reasons for the recent low summer sea ice extent in the Weddell Sea. We suggest that the fraction of superimposed ice and snow ice can be used here as a sensitive indicator. However, snow and ice properties were not exceptional, suggesting that the summer surface energy balance and related seasonal transition of snow properties have changed little in the past.
Thomas Krumpen, Luisa von Albedyll, Helge F. Goessling, Stefan Hendricks, Bennet Juhls, Gunnar Spreen, Sascha Willmes, H. Jakob Belter, Klaus Dethloff, Christian Haas, Lars Kaleschke, Christian Katlein, Xiangshan Tian-Kunze, Robert Ricker, Philip Rostosky, Janna Rückert, Suman Singha, and Julia Sokolova
The Cryosphere, 15, 3897–3920, https://doi.org/10.5194/tc-15-3897-2021, https://doi.org/10.5194/tc-15-3897-2021, 2021
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We use satellite data records collected along the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) drift to categorize ice conditions that shaped and characterized the floe and surroundings during the expedition. A comparison with previous years is made whenever possible. The aim of this analysis is to provide a basis and reference for subsequent research in the six main research areas of atmosphere, ocean, sea ice, biogeochemistry, remote sensing and ecology.
Luisa von Albedyll
Polarforschung, 89, 115–117, https://doi.org/10.5194/polf-89-115-2021, https://doi.org/10.5194/polf-89-115-2021, 2021
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Submarines and satellites observed a halving of Arctic sea ice thickness in the last 60 years. Sea ice thinning alters the Arctic climate and ecosystem and the weather in our latitudes. Rising air and ocean temperatures and increased ice drift speeds cause the thinning. Thinner ice breaks up easier, and can pile up locally in thick ridges. Understanding the contribution of those processes to the ice thickness enables us to better predict the future of Arctic sea ice.
Gemma M. Brett, Gregory H. Leonard, Wolfgang Rack, Christian Haas, Patricia J. Langhorne, and Anne Irvin
The Cryosphere Discuss., https://doi.org/10.5194/tc-2021-61, https://doi.org/10.5194/tc-2021-61, 2021
Manuscript not accepted for further review
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Using a geophysical technique, we observe temporal variability in the influence of ice shelf meltwater on coastal sea ice which forms platelet ice crystals which contribute to the thickness of the sea ice and accumulate into a thick mass called a sub-ice platelet layer (SIPL). The variability observed in the SIPL indicated that circulation of ice shelf meltwater out from the cavity in McMurdo Sound is influenced by tides and strong offshore winds which affect surface ocean circulation.
Luisa von Albedyll, Christian Haas, and Wolfgang Dierking
The Cryosphere, 15, 2167–2186, https://doi.org/10.5194/tc-15-2167-2021, https://doi.org/10.5194/tc-15-2167-2021, 2021
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Convergent sea ice motion produces a thick ice cover through ridging. We studied sea ice deformation derived from high-resolution satellite imagery and related it to the corresponding thickness change. We found that deformation explains the observed dynamic thickness change. We show that deformation can be used to model realistic ice thickness distributions. Our results revealed new relationships between thickness redistribution and deformation that could improve sea ice models.
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.
Evelyn Jäkel, Tim Carlsen, André Ehrlich, Manfred Wendisch, Michael Schäfer, Sophie Rosenburg, Konstantina Nakoudi, Marco Zanatta, Gerit Birnbaum, Veit Helm, Andreas Herber, Larysa Istomina, Linlu Mei, and Anika Rohde
The Cryosphere Discuss., https://doi.org/10.5194/tc-2021-14, https://doi.org/10.5194/tc-2021-14, 2021
Preprint withdrawn
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Different approaches to retrieve the optical-equivalent snow grain size using satellite, airborne, and ground-based observations were evaluated and compared to modeled data. The study is focused on low Sun and partly rough surface conditions encountered North of Greenland in March/April 2018. We proposed an adjusted airborne retrieval method to reduce the retrieval uncertainty.
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.
Maria-Elena Vorrath, Juliane Müller, Lorena Rebolledo, Paola Cárdenas, Xiaoxu Shi, Oliver Esper, Thomas Opel, Walter Geibert, Práxedes Muñoz, Christian Haas, Gerhard Kuhn, Carina B. Lange, Gerrit Lohmann, and Gesine Mollenhauer
Clim. Past, 16, 2459–2483, https://doi.org/10.5194/cp-16-2459-2020, https://doi.org/10.5194/cp-16-2459-2020, 2020
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We tested the applicability of the organic biomarker IPSO25 for sea ice reconstructions in the industrial era at the western Antarctic Peninsula. We successfully evaluated our data with satellite sea ice observations. The comparison with marine and ice core records revealed that sea ice interpretations must consider climatic and sea ice dynamics. Sea ice biomarker production is mainly influenced by the Southern Annular Mode, while the El Niño–Southern Oscillation seems to have a minor impact.
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.
Joshua King, Stephen Howell, Mike Brady, Peter Toose, Chris Derksen, Christian Haas, and Justin Beckers
The Cryosphere, 14, 4323–4339, https://doi.org/10.5194/tc-14-4323-2020, https://doi.org/10.5194/tc-14-4323-2020, 2020
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Physical measurements of snow on sea ice are sparse, making it difficulty to evaluate satellite estimates or model representations. Here, we introduce new measurements of snow properties on sea ice to better understand variability at distances less than 200 m. Our work shows that similarities in the snow structure are found at longer distances on younger ice than older ice.
Tim Carlsen, Gerit Birnbaum, André Ehrlich, Veit Helm, Evelyn Jäkel, Michael Schäfer, and Manfred Wendisch
The Cryosphere, 14, 3959–3978, https://doi.org/10.5194/tc-14-3959-2020, https://doi.org/10.5194/tc-14-3959-2020, 2020
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The angular reflection of solar radiation by snow surfaces is particularly anisotropic and highly variable. We measured the angular reflection from an aircraft using a digital camera in Antarctica in 2013/14 and studied its variability: the anisotropy increases with a lower Sun but decreases for rougher surfaces and larger snow grains. The applied methodology allows for a direct comparison with satellite observations, which generally underestimated the anisotropy measured within this study.
Cited articles
Alekseeva, T., Tikhonov, V., Frolov, S., Repina, I., Raev, M., Sokolova, J.,
Sharkov, E., Afanasieva, E., and Serovetnikov, S.: Comparison of Arctic Sea
Ice Concentrations from the NASA Team, ASI, and VASIA2 Algorithms with Summer
and Winter Ship Data, Remote Sensing, 11, 2481, https://doi.org/10.3390/rs11212481,
2019. a
Alfred Wegener Institute: Polar Research and Supply Vessel POLARSTERN
Operated by the Alfred Wegener Institute Helmholtz Centre for Polar and
Marine Research, Journal of Large-Scale Research Facilities, 3, A119,
https://doi.org/10.17815/jlsrf-3-163, 2017. a, b, c
Assmy, P., Fernández-Méndez, M., Duarte, P., Meyer, A., Randelhoff, A., Mundy, C. J., Olsen, L. M., Kauko, H. M., Bailey, A., Chierici, M., Cohen, L., Doulgeris, A. P., Ehn, J. K., Fransson, A., Gerland, S., Hop, H., Hudson, S. R., Hughes, N., Itkin, P., Johnsen, G., King, J. A., Koch, B. P., Koenig, Z., Kwasniewski, S., Laney, S. R., Nicolaus, M., Pavlov, A. K., Polashenski, C. M., Provost, C., Rösel, A., Sandbu, M., Spreen, G., Smedsrud, L. H., Sundfjord, A., Taskjelle, T., Tatarek, A., Wiktor, J., Wagner, P. M., Wold, A., Steen, H., and Granskog, M. A.: Leads in Arctic pack ice enable early
phytoplankton blooms below snow-covered sea ice, Sci. Rep., 7, 40850,
https://doi.org/10.1038/srep40850, 2017. a
Belter, H. J., Krumpen, T., Hendricks, S., Hoelemann, J., Janout, M. A., Ricker, R., and Haas, C.: Satellite-based sea ice thickness changes in the Laptev Sea from 2002 to 2017: comparison to mooring observations, The Cryosphere, 14, 2189–2203, https://doi.org/10.5194/tc-14-2189-2020, 2020a. a
Belter, H. J., Krumpen, T., and Herber, A.: Electromagnetic induction raw data (EM Bird) of POLAR 6 during 2020 IceBird MOSAiC Summer campaign, PANGAEA [Dataset], https://doi.org/10.1594/PANGAEA.924916, 2020b. a
Cavalieri, D. J. and Parkinson, C. L.: Arctic sea ice variability and trends, 1979–2010, The Cryosphere, 6, 881–889, https://doi.org/10.5194/tc-6-881-2012, 2012. a
Damm, E., Bauch, D., Krumpen, T., Rabe, B., Korhonen, M., Vinogradova, E., and
Uhlig, C.: The Transpolar Drift conveys methane from the Siberian Shelf to
the central Arctic Ocean, Sci. Rep., 8, 4515,
https://doi.org/10.1038/s41598-018-22801-z, 2018. a
Ezraty, R., Girard-Ardhuin, F., Piolle, J.-F., Kaleschke, L., and Heygster, G.:
Arctic and Antarctic Sea Ice Concentration and Arctic Sea Ice Drift
Estimated from Special Sensor Microwave Data, Spatial and Physical
Oceanography Laboratory IFREMER, Brest, France and University of Bremen,
Germany, version 2.1 Edn., 2007. a
Girard-Ardhuin, F. and Ezraty, R.: Enhanced Arctic Sea Ice Drift Estimation
Merging Radiometer and Scatterometer Data, IEEE T. Geosci.
Remote, 50, 2639–2648, https://doi.org/10.1109/TGRS.2012.2184124, 2012. a
Granskog, M., Assmy, P., Gerland, S., Spreen, G., Steen, H., and Smedsrud,
L. H.: Arctic research on thin ice – Consequences of Arctic sea ice loss,
Eos Trans. AGU, 97, 22–26, https://doi.org/10.1029/2016EO044097, 2016. a
Haas, C.: Late-summer sea ice thickness variability in the Arctic Transpolar
Drift 1991–2001 derived from ground-based electromagnetic sounding,
Geophys. Res. Lett., 31, 9, https://doi.org/10.1029/2003GL019394, 2004. a, b, c, d
Haas, C.: Sea ice thickness distribution, in: Sea ice, edited by: Thomas,
D. N., chap. 2, 3rd Edn., John Wiley and Sons, Ltd, 42–64,
https://doi.org/10.1002/9781118778371, 2017. a
Haas, C., Gerland, S., Eicken, H., and Miller, H.: Comparison of sea-ice
thickness measurements under summer and winter conditions in the Arctic using
a small electromagnetic induction device, Geophysics, 62, 749–757,
https://doi.org/10013/epic.11729, 1997. a, b
Haas, C., Pfaffling, A., Hendricks, S., Rabenstein, L., Etienne, J.-L., and
Rigor, I. G.: Reduced ice thickness in Arctic Transpolar Drift favors rapid
ice retreat, Geophys. Res. Lett., 35, 17, https://doi.org/10.1029/2008GL034457,
2008. a, b, c
Haas, C., Lobach, J., Hendricks, S., Rabenstein, L., and Pfaffling, A.:
Helicopter-borne measurements of sea ice thickness, using a small and
lightweight, digital EM system, J. Appl. Geophys., 67, 234–241,
https://doi.org/10.1016/j.jappgeo.2008.05.005, 2009. a
Haas, C., Hendricks, S., Eicken, H., and Herber, A.: Synoptic airborne
thickness surveys reveal state of Arctic sea ice cover, Geophys. Res.
Lett., 37, 9, https://doi.org/10.1029/2010GL042652, 2010. a, b
Hendricks, S. and Ricker, R.: C3S_312b_Lot3_CLS_2018SC2 – Product
User Guide and Specification, Copernicus Climate Change Service,
available at: http://datastore.copernicus-climate.eu/documents/satellite-sea-ice/thickness/D3.SIT.1-v1.1_PUGS_of_v1_Sea_Ice_Thickness_Products_v1.3_APPROVED_Ver1.pdf (last access: 2 July 2020),
2019. a
Hendricks, S., Paul, S., and Rinne, E.: ESA Sea Ice Climate Change Initiative
(Sea_Ice_cci): Northern hemisphere sea ice thickness from the CryoSat-2
satellite on a monthly grid (L3C), v2.0 (Oct 2020), DATA SET at Centre for
Environmental Data Analysis:
https://doi.org/10.5285/ff79d140824f42dd92b204b4f1e9e7c2,
2018a. a, b
Hendricks, S., Paul, S., and Rinne, E.: ESA Sea Ice Climate Change Initiative
(Sea_Ice_cci): Northern hemisphere sea ice thickness from the Envisat
satellite on a monthly grid (L3C), v2.0 (Oct 2020), DATA SET at Centre for
Environmental Data Analysis:
https://doi.org/10.5285/f4c34f4f0f1d4d0da06d771f6972f180,
2018b. a, b
Holland, M. M., Bitz, C. M., and Tremblay, B.: Future abrupt reductions in the
summer Arctic sea ice, Geophys. Res. Lett., 33, 23,
https://doi.org/10.1029/2006GL028024, 2006. a
Horvat, C., Jones, D. R., Iams, S., Schroeder, D., Flocco, D., and Feltham, D.:
The frequency and extent of sub-ice phytoplankton blooms in the Arctic
Ocean, Sci. Adv., 3, 3, https://doi.org/10.1126/sciadv.1601191, 2017. a
Hunkeler, P., Hendricks, S., Hoppmann, M., Farquharson, C., Kalscheuer, T.,
Grab, M., Kaufmann, M. S., Rabenstein, L., and Gerdes, R.: Improved 1D
inversions for sea ice thickness and conductivity from electromagnetic
induction data: Inclusion of nonlinearities caused by passive bucking,
Geophysics, 81, WA45–WA58, https://doi.org/10.1190/GEO2015-0130.1, 2016. a
Itkin, P. and Krumpen, T.: Winter sea ice export from the Laptev Sea preconditions the local summer sea ice cover and fast ice decay, The Cryosphere, 11, 2383–2391, https://doi.org/10.5194/tc-11-2383-2017, 2017. a
Ivanov, V. V., Alexeev, V. A., Repina, I., Koldunov, N. V., and Smirnov, A.:
Tracing Atlantic Water Signature in the Arctic Sea Ice Cover East of
Svalbard, Adv. Meteorol., 2012, 201818, https://doi.org/10.1155/2012/201818, 2012. a
Johannessen, O. M., Bengtsson, L., Miles, M. W., Kuzmina, S. I., Semenov,
V. A., Alekseev, G. V., Nagurnyi, A. P., Zakharov, V. F., Bobylev, L. P.,
Pettersson, L. H., Hasselmann, K., and Cattle, H. P.: Arctic climate change:
observed and modelled temperature and sea-ice variability, Tellus A, 56, 328–341,
https://doi.org/10.3402/tellusa.v56i4.14418, 2004. a
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L.,
Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M.,
Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K. C., Ropelewski, C., Wang,
J., Leetmaa, A., Reynolds, R., Jenne, R., and Joseph, D.: The NCEP/NCAR
40-Year Reanalysis Project, B. Am. Meteorol. Soc.,
77, 437–472, https://doi.org/10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2, 1996. a
Katlein, C., Arndt, S., Belter, H. J., Castellani, G., and Nicolaus, M.:
Seasonal Evolution of Light Transmission Distributions Through Arctic Sea
Ice, J. Geophys. Res.-Oceans, 124, 5418–5435,
https://doi.org/10.1029/2018JC014833, 2019. a
Kern, S., Khvorostovsky, K., and Skourup, H.: D4.1 Product Validation and
Intercomparison Report (PVIR-SIT) – SICCI-PVIR-SIT, Tech. rep., European
Space Agency Sea Ice Climate Change Initiative, 2018. a
Kovacs, A. and Morey, R. M.: Sounding sea ice thickness using a portable
electromagnetic induction instrument, Geophysics, 56, 1992–1998,
https://doi.org/10.1190/1.1443011, 1991. a
Krishfield, R. A. and Perovich, D. K.: Spatial and temporal variability of
oceanic heat flux to the Arctic ice pack, J. Geophys. Res.,
110, C7, https://doi.org/10.1029/2004JC002293, 2005. a
Krumpen, T.: TIFAX 2012 Summer Campaign – Sea ice thickness measurements with
Polar 5 from Station Nord and Svalbard, [Miscellaneous],
https://doi.org/10013/epic.6e9bb068-dd33-49ff-8b7b-6cc02ec201e7, 2012. a
Krumpen, T.: AWI ICETrack: Antarctic and Arctic Sea Ice Monitoring and
Tracking Tool, Vers. 1.3,
https://doi.org/10013/epic.9ee550b6-5966-4db6-a042-f4256810ec3f, 2018. a, b, c
Krumpen, T. and Sellmann, M.: Campaign Report TIFAX 2016: Sea ice thickness
measurements from Station Nord, Greenland, [Miscellaneous],
https://doi.org/10013/epic.51537, 2016. a
Krumpen, T. and Sokolov, V.: The Expedition AF122/1: Setting up the MOSAiC
Distributed Network in October 2019 with Research Vessel AKADEMIK FEDOROV,
Berichte zur Polar-und Meeresforschung, Alfred Wegener Institute for Polar
and Marine Research, 744, 119,
https://doi.org/10013/epic.16bc0ab7-fe46-4fb5-ae69-3edc93a72356, 2020. a
Krumpen, T., Gerdes, R., and Herber, A.: TIFAX 2011 Summer Campaign – Sea ice
thickness measurements with Polar 5 from Station Nord and Svalbard,
[Miscellaneous], https://doi.org/10013/epic.2165dad3-b55c-48c1-9c6d-ca9969391809, 2011. a
Krumpen, T., Janout, M., Hodges, K. I., Gerdes, R., Girard-Ardhuin, F., Hölemann, J. A., and Willmes, S.: Variability and trends in Laptev Sea ice outflow between 1992–2011, The Cryosphere, 7, 349–363, https://doi.org/10.5194/tc-7-349-2013, 2013. a
Krumpen, T., Sellmann, M., and Rohde, J.: TIFAX 2017 Campaign Report: Sea ice
thickness measurements with Polar 6 from Station Nord and Alert,
[Miscellaneous], https://doi.org/10013/epic.51536, 2017. a
Krumpen, T., Goessling, H., and Sellmann, M.: IceBird 2018 summer Campaign -
Sea ice thickness measurements with Polar 6 from Station Nord and Alert,
[Miscellaneous], https://doi.org/10013/epic.96923a78-d232-4bd8-82f4-337799d2fa07, 2018. a
Krumpen, T., Belter, H. J., Boetius, A., Damm, E., Haas, C., Hendricks, S.,
Nicolaus, M., Noethig, E.-M., Paul, S., Peeken, I., Ricker, R., and Stein,
R.: Arctic Warming interrupts the Transpolar Drift and affects long-range
transport of sea ice and ice-rafted matter, Nature Scientific Reports, 9, 5459,
https://doi.org/10.1038/s41598-019-41456-y, 2019. a, b, c, d, e, f, g, h, i
Krumpen, T., Birrien, F., Kauker, F., Rackow, T., von Albedyll, L., Angelopoulos, M., Belter, H. J., Bessonov, V., Damm, E., Dethloff, K., Haapala, J., Haas, C., Harris, C., Hendricks, S., Hoelemann, J., Hoppmann, M., Kaleschke, L., Karcher, M., Kolabutin, N., Lei, R., Lenz, J., Morgenstern, A., Nicolaus, M., Nixdorf, U., Petrovsky, T., Rabe, B., Rabenstein, L., Rex, M., Ricker, R., Rohde, J., Shimanchuk, E., Singha, S., Smolyanitsky, V., Sokolov, V., Stanton, T., Timofeeva, A., Tsamados, M., and Watkins, D.: The MOSAiC ice floe: sediment-laden survivor from the Siberian shelf, The Cryosphere, 14, 2173–2187, https://doi.org/10.5194/tc-14-2173-2020, 2020. a, b, c, d, e, f
Kurtz, N. T., Farrell, S. L., Studinger, M., Galin, N., Harbeck, J. P., Lindsay, R., Onana, V. D., Panzer, B., and Sonntag, J. G.: Sea ice thickness, freeboard, and snow depth products from Operation IceBridge airborne data, The Cryosphere, 7, 1035–1056, https://doi.org/10.5194/tc-7-1035-2013, 2013. a
Lavergne, T.: Validation and Monitoring of the OSI SAF Low Resolution Sea Ice
Drift Product (v5), Technical report, The EUMETSAT Network of Satellite
Application Facility, https://doi.org/10.13140/RG.2.1.4155.5449, 2016. a
Lavergne, T., Sørensen, A. M., Kern, S., Tonboe, R., Notz, D., Aaboe, S., Bell, L., Dybkjær, G., Eastwood, S., Gabarro, C., Heygster, G., Killie, M. A., Brandt Kreiner, M., Lavelle, J., Saldo, R., Sandven, S., and Pedersen, L. T.: Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records, The Cryosphere, 13, 49–78, https://doi.org/10.5194/tc-13-49-2019, 2019. a
Laxon, S. W., Giles, K. A., Ridout, A. L., Wingham, D. J., Willatt, R., Cullen,
R., Kwok, R., Schweiger, A., Zhang, J., Haas, C., Handricks, S., Krishfield,
R., Kurz, N., Farrell, S., and Davidson, M.: CryoSat-2 estimates of Arcitc
sea ice thickness and volume, Geophys. Res. Lett., 40, 732–737,
https://doi.org/10.1002/grl.50193, 2013. a
Lin, L. and Zhao, J.: Estimation of Oceanic Heat Flux Under Sea Ice in the
Arctic Ocean, J. Ocean U. China, 18, 605–614,
https://doi.org/10.1007/s11802-019-3877-7, 2019. a, b
Maykut, G. A.: Large-scale heat exchange and ice production in the central
Arctic, J. Geophys. Res., 87, 7971–7984,
https://doi.org/10.1029/JC087iC10p07971, 1982. a
Maykut, G. A. and McPhee, M. G.: Solar heating of the Arctic mixed layer,
J. Geophys. Res.-Oceans, 100, 24691–24703,
https://doi.org/10.1029/95JC02554, 1995. a
Maykut, G. A. and Untersteiner, N.: Some Results from a Time-Dependent
Thermodynamic Model of Sea Ice, J. Geophys. Res., 76, 6,
https://doi.org/10.1029/JC076i006p01550, 1971. a
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, 24, https://doi.org/10.1029/2003GL018580, 2003. a, b, c
Merkouriadi, I., Cheng, B., Graham, R. M., Roesel, A., and Granskog, M. A.:
Critical Role of Snow on Sea Ice Growth in the Atlantic Sector of the Arctic
Ocean, Geophys. Res. Lett., 44, 10479–10485,
https://doi.org/10.1002/2017GL075494, 2017. a, b
Merkouriadi, I., Cheng, B., Hudson, S. R., and Granskog, M. A.: Effect of
frequent winter warming events (storms) and snow on sea-ice growth – a case
from the Atlantic sector of the Arctic Ocean during the N-ICE2015 campaign,
Ann. Glaciol., 61, 164–170, https://doi.org/10.1017/aog.2020.25, 2020. a, b, c
Nicolaus, M., Katlein, C., Maslanik, J., and Hendricks, S.: Changes in Arctic
sea ice result in increasing light transmittance and absorption, Geophys.
Res. Lett., 39, 24, https://doi.org/10.1029/2012GL053738, 2012. a
NPI: Thickness of sea ice measured in the Fram Strait. Environmental
monitoring of Svalbard and Jan Mayen (MOSJ), Norwegian Polar Institute,
available at: http://www.mosj.no/en/climate/ocean/sea-ice-thickness-arctic-ocean-fram-strait.html (last access: 28 May 2020),
2018. a
Onarheim, I. H., Smedsrud, L. H., Ingvaldsen, R. B., and Nilsen, F.: Loss of
sea ice during winter north of Svalbard, Tellus A, 66, 23933, https://doi.org/10.3402/tellusa.v66.23933, 2014. a
Overland, J., Dunlea, E., Box, J. E., Corell, R., Forsius, M., Kattsov, V.,
Olsen, M. S., Pawlak, J., Reiersen, L.-O., and Wang, M.: The urgency of
Arctic change, Polar Sci., 21, 6–13, https://doi.org/10.1016/j.polar.2018.11.008,
2019. a
Overland, J. E. and Wang, M.: When will the summer Arctic be nearly sea ice
free?, Geophys. Res. Lett., 40, 2097–2101,
https://doi.org/10.1002/grl.50316, 2013. a
Peeken, I., Primpke, S., Beyer, B., Guetermann, J., Katlein, C., Krumpen, T.,
Bergmann, M., Hehemann, L., and Gerdts, G.: Arctic sea ice is an important
temporal sink and means of transport for microplastic, Nat.
Commun., 9, 1505, https://doi.org/10.1038/s41467-018-03825-5, 2018. a, b, c
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. a
Perovich, D. K., Light, B., Eicken, H., Jones, K. F., Runciman, K., and Nghiem,
S. V.: Increasing solar heating of the Arctic Ocean and adjacent seas,
1979–2005: Attribution and role in the ice-albedo feedback, Geophys.
Res. Lett., 34, 19, https://doi.org/10.1029/2007GL031480, 2007. a
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. a, b
Pfaffling, A., Haas, C., and Reid, J. E.: A direct helicopter EM sea ice
thickness inversion, assessed with synthetic and field data, Geophysics, 72, 4,
https://doi.org/10.1190/1.2732551, 2007. a, b
Pfirman, S., Haxby, W., Eicken, H., Jeffries, M., and Bauch, D.: Drifting
Arctic sea ice archives changes in ocean surface conditions, Geophys.
Res. Lett., 31, 19, https://doi.org/10.1029/2004GL020666, 2004. a, b, c
Pinker, R. T., Niu, X., and Ma, Y.: Solar heating of the Arctic Ocean in the
context of ice-albedo feedback, J. Geophys. Res.-Oceans,
119, 12, https://doi.org/10.1002/2014JC010232, 2014. a
Polyakov, I. V., Pnyushkov, A. V., Alkire, M. B., Ashik, I. M., Baumann, T. M.,
Carmack, E. C., Goszczko, I., Guthrie, J., Ivanov, V. V., Kanzow, T.,
Krishfield, R., Kwok, R., Sundfjord, A., Morison, J., Rember, R., and Yulin,
A.: Greater role for Atlantic inflows on sea-ice loss in the Eurasian Basin
of the Arctic Ocean, Science, 356, 285–291, https://doi.org/10.1126/science.aai8204,
2017. a, b, c, d, e, f, g, h, i, j, k
Polyakov, I. V., Rippeth, T. P., Fer, I., Alkire, M. B., Baumann, T. M.,
Carmack, E. C., Ingvaldsen, R., Ivanov, V. V., Janout, M., Padman, S. L. L.,
Pnyushkov, A. V., and Rember, R.: Weakening of Cold Halocline Layer Exposes
Sea Ice to Oceanic Heat in the Eastern Arctic Ocean, J. Climate, 33,
8107–8123, https://doi.org/10.1175/JCLI-D-19-0976.1, 2020. a, b, c, d, e, f, g, h, i, j
Rabenstein, L., Hendricks, S., Martin, T., Pfaffhuber, A., and Haas, C.:
Thickness and surface-properties if different sea-ice regimes within the
Arctic Trans Polar Drift: Data from summers 2001, 2004 and 2007, J. Geophys. Res., 115, C12, https://doi.org/10.1029/2009JC005846, 2010. a
Renner, A. H. H., Gerland, S., Haas, C., Spreen, G., Beckers, J. F., Hansen,
E., Nicolaus, M., and Goodwin, H.: Evidence of Arctic sea ice thinning from
direct observations, Geophys. Res. Lett., 41, 5029–5036,
https://doi.org/10.1002/2014GL060369, 2014. a, b, c, d
Ricker, R., Hendricks, S., Helm, V., Skourup, H., and Davidson, M.: Sensitivity of CryoSat-2 Arctic sea-ice freeboard and thickness on radar-waveform interpretation, The Cryosphere, 8, 1607–1622, https://doi.org/10.5194/tc-8-1607-2014, 2014. a
Ricker, R., Hendricks, S., Kaleschke, L., Tian-Kunze, X., King, J., and Haas, C.: A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data, The Cryosphere, 11, 1607–1623, https://doi.org/10.5194/tc-11-1607-2017, 2017. a
Smedsrud, L. H., Esau, I., Ingvaldsen, R. B., Eldevik, T., Haugan, P. M., Li,
C., Lien, V. S., Olsen, A., Omar, A. M., Ottera, O. H., Risebrobakken, B.,
Sandø, A. B., Semenov, V. A., and Sorokina, S. A.: The role of the
Barents Sea in the Arctic climate system, Rev. Geophys., 51,
415–449, https://doi.org/10.1002/rog.20017, 2013. a
Spreen, G., Kwok, R., and Menemenlis, D.: Trends in Arctic sea ice drift and
role of wind forcing: 1992–2009, Geophys. Res. Lett., 38, 19,
https://doi.org/10.1029/2011GL048970, 2011. a, b, c
Stroeve, J. C., Kattsov, V., Barrett, A., Pavlova, T., Holland, M., and Meier,
W. N.: Trends in Arctic sea ice extent from CMIP5, CMIP3 and observations,
Geophys. Res. Lett., 39, 16, https://doi.org/10.1029/2012GL052676, 2012. a
Sumata, H., Lavergne, T., Girard-Ardhuin, F., Kimura, N., Tschudi, M. A.,
Kauker, F., Karcher, M., and Gerdes, R.: An Intercomparison of Arctic ice
drift products to deduce incertainty estimates, J. Geophys.
Res.-Oceans, 119, 4887–4921, https://doi.org/10.1002/2013JC009724, 2014. a
Tschudi, M., Meier, W. N., Stewart, J. S., Fowler, C., and Maslanik, J.: Polar
Pathfinder Daily 25 km EASE-Grid Sea Ice Motion Vectors, Version 4,
Boulder, Colorado USA, NASA National Snow and Ice Data Center Distributed
Active Archive Center, https://doi.org/10.5067/INAWUWO7QH7B, 2019. a
Wang, C., Granskog, M. A., Hudson, S. R., Gerland, S., Pavlov, A. K., Perovich,
D. K., and Nicolaus, M.: Atmospheric conditions in the central Arctic Ocean
through the melt seasons of 2012 and 2013: impact on surface conditions and
solar energy deposition into the ice-ocean system, J. Geophys.
Res.-Atmos., 121, 1043–1058, https://doi.org/10.1002/2015JD023712, 2016. a, b, c
Wang, M. and Overland, J. E.: A sea ice free summer Arctic within 30 years?,
Geophys. Res. Lett., 36, 7, https://doi.org/10.1029/2009GL037820, 2009. a
WHOI: Upward-Looking Sonar data at BGEP Moorings from 2003 through 2013,
Woods Hole Oceanographic Institution,
available at: https://www.whoi.edu/page/preview.do?pid=66559 (last access: 28 May 2020), 2014. a
Zhang, J., Rothrock, D., and Steele, M.: Recent Changes in Arctic Sea Ice: the
Interplay between Ice Dynamics and Thermodynamics, J. Climate, 13,
3099–3114, https://doi.org/10.1175/1520-0442(2000)013<3099:RCIASI>2.0.CO;2, 2000. a
Short summary
Summer sea ice thickness observations based on electromagnetic induction measurements north of Fram Strait show a 20 % reduction in mean and modal ice thickness from 2001–2020. The observed variability is caused by changes in drift speeds and consequential variations in sea ice age and number of freezing-degree days. Increased ocean heat fluxes measured upstream in the source regions of Arctic ice seem to precondition ice thickness, which is potentially still measurable more than a year later.
Summer sea ice thickness observations based on electromagnetic induction measurements north of...