Article
Geosciences, Multidisciplinary
Linda Thielke, Niels Fuchs, Gunnar Spreen, Bruno Tremblay, Gerit Birnbaum, Marcus Huntemann, Nils Hutter, Polona Itkin, Arttu Jutila, Melinda A. Webster
Summary: Comparing helicopter-borne surface temperature maps in winter and optical orthomosaics in summer, a strong geometric correlation was found between warm anomalies in winter and melt pond location in the following summer. These warm anomalies are associated with thinner snow and ice, allowing for water accumulation during melt. A one-dimensional steady-state thermodynamic model shows that the observed surface temperature differences align with ice thickness and snow depth. The potential for seasonal prediction of summer melt pond location and coverage from winter surface temperature observations is demonstrated, achieving a correct classification for 41% of the melt ponds through threshold-based classification.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Remote Sensing
Gang Li, Xiao Chen, Hui Lin, Andrew Hooper, Zhuoqi Chen, Xiao Cheng
Summary: This study investigates the ability of monitoring the melting status of the Greenland Ice Sheet using Sentinel-1 dual-polarized images. The results show different patterns of ice surface dielectric constant dynamics at different elevations. The findings demonstrate that dual-polarized Sentinel-1 C-band SAR images can effectively capture the surface melting of the ice sheet.
GEO-SPATIAL INFORMATION SCIENCE
(2023)
Article
Environmental Sciences
Jiechen Zhao, Yining Yu, Jingjing Cheng, Honglin Guo, Chunhua Li, Qi Shu
Summary: The study assessed three SSMIS-based sea ice concentration products and found potential underestimation or overestimation of concentration depending on the algorithms used. The presence of melt ponds influenced the concentration biases, with a relationship established between sea ice concentration biases and melt pond fraction observations for improved accuracy in 2D sea ice concentration distributions.
Article
Remote Sensing
Jiajun Feng, Yuanzhi Zhang, Qiuming Cheng, Kapo Wong, Yu Li, Jin Yeu Tsou
Summary: The research utilized deep learning networks to establish a relationship model between MODIS surface reflectance product and Arctic melt ponds fraction, ice fraction, and open water fraction. The model significantly improved MPF estimation accuracy and revealed spatiotemporal changes in MPF during early summer, showing correlations with sea ice extent and air temperature. The results suggest that early summer MPF plays a role in influencing sea ice movement, air temperature, and can be used to predict air temperature in northern China.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Geosciences, Multidisciplinary
A. M. Solgaard, D. Rapp, B. P. Y. Noel, C. S. Hvidberg
Summary: This study analyzed high-resolution ice velocity data of the Greenland Ice Sheet using a clustering algorithm and identified characteristic seasonal flow patterns. The results showed spatial and interannual variability in these flow patterns, which are linked to water availability at the base of the ice.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Geochemistry & Geophysics
Randall Kenneth Scharien, Sasha Nasonova
Summary: This study demonstrates the dependence of image texture parameters on the incidence angle (IA) of synthetic aperture radar (SAR), using Arctic landfast sea ice samples extracted from Sentinel-1 SAR scenes. It highlights the importance of considering angular dependence in the development of texture parameters.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Anca Cristea, A. Malin Johansson, Anthony P. Doulgeris, Camilla Brekke
Summary: Low backscatter signatures in SAR imagery can be used to monitor phenomena such as sea ice and oil spills. This study proposes a detection method using Sentinel-1 SAR imagery and demonstrates its potential for large-scale operational monitoring in the Barents Sea.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Multidisciplinary Sciences
Josef Kellndorfer, Oliver Cartus, Marco Lavalle, Christophe Magnard, Pietro Milillo, Shadi Oveisgharan, Batu Osmanoglu, Paul A. Rosen, Urs Wegmuller
Summary: This dataset is the first of its kind to provide spatial representation of multi-seasonal C-band Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter signatures globally. It contains detailed information on how decorrelation affects interferometric measurements of surface displacement, making it valuable for various mapping applications.
Article
Meteorology & Atmospheric Sciences
Ruben Cruz-Garcia, Pablo Ortega, Virginie Guemas, Juan C. Acosta Navarro, Francois Massonnet, Francisco J. Doblas-Reyes
Summary: The quality of initial conditions is crucial in climate predictions. Inconsistencies between different components can cause initialization shocks, impacting the accuracy of forecasts, especially for sea ice concentration. The dominance of ICs inconsistency in forecast biases suggests a larger impact than previously thought, requiring the use of high frequency data for detection and filtering.
Article
Environmental Sciences
Melinda A. Webster, Marika Holland, Nicholas C. Wright, Stefan Hendricks, Nils Hutter, Polona Itkin, Bonnie Light, Felix Linhardt, Donald K. Perovich, Ian A. Raphael, Madison M. Smith, Luisa von Albedyll, Jinlun Zhang
Summary: This study investigates the seasonal behavior and variability of melt ponds in the Arctic using in situ surveys, auxiliary observations, satellite retrievals, and two models. The results show that both models overestimate melt pond coverage in summer and have slight differences in simulating the freeze-up date. Accurate representation of sea-ice processes and properties is crucial for simulations of albedo feedbacks in a warming climate.
ELEMENTA-SCIENCE OF THE ANTHROPOCENE
(2022)
Article
Geosciences, Multidisciplinary
Eduard Khachatrian, Wolfgang Dierking, Saloua Chlaily, Torbjorn Eltoft, Frode Dinessen, Nick Hughes, Andrea Marinoni
Summary: The most commonly used source of information for sea ice conditions is remote sensing data, particularly images obtained from synthetic aperture radar (SAR) and passive microwave radiometers (PMR). In this study, we propose an adaptive fusion scheme based on Graph Laplacians to extract the most relevant information from satellite images. Through a test case, we evaluate the complementarity of SAR and PMR for sea ice classification and observe the advantage of combining AMSR-2 89 GHz and Sentinel-1 data for sea ice mapping.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Tingting Liu, Zihan Wang, Mohammed Shokr, Ruibo Lei, Zhaoru Zhang
Summary: This study used Lagrangian ice motion derived from Sentinel-1 images to assess GLORYS12V1, PSY4V3, and TOPAZ4. The results show that PSY4V3 performs the best, while TOPAZ4 grossly underestimates the motion. GLORYS12V1 and TOPAZ4 provide better estimations in areas with slow ice motion or grounded ice floes.
Article
Geography, Physical
Jiajun Feng, Yuanzhi Zhang, Qiuming Cheng, Jin Yeu Tsou
Summary: This study analyzed the variability and trends in the Pan-Arctic melt pond fraction (MPF) using MODIS data from 2000 to 2019, and found that the overall MPF showed a weak upward trend, while the MPF in the multiyear ice area increased significantly. The distribution of melt ponds is closely related to atmospheric circulation, and there is a strong negative correlation between MPF and September sea ice extent.
GLOBAL AND PLANETARY CHANGE
(2022)
Article
Environmental Sciences
Mingfeng Wang, Marcel Koenig, Natascha Oppelt
Summary: The algorithm utilizes mathematical morphology to identify ice floes in the marginal ice zone, measures similarity between segmented ice floes using Hausdorff distance, and enhances density of retrieved sea ice motion vectors.
Article
Environmental Sciences
Johannes Lohse, Anthony P. Doulgeris, Wolfgang Dierking
Summary: This study investigates the inclusion of Sentinel-1 texture features in a Bayesian classifier to improve the classification of sea ice types in SAR images. Results show that texture features play a crucial role in classification, especially in the generalized separation of ice and water, as well as the classification of young ice and multi-year ice, leading to significant improvements in classification accuracy.
Article
Engineering, Electrical & Electronic
Rasmus T. Tonboe, Vishnu Nandan, Marko Makynen, Leif Toudal Pedersen, Stefan Kern, Thomas Lavergne, Johanne Oelund, Gorm Dybkjaer, Roberto Saldo, Marcus Huntemann
Summary: This study investigates the sensitivity of sea ice concentration algorithms to geophysical noise and finds that different channels and methods have different effects on the results. The algorithms using gradients between 19 GHz and 37 GHz T(B) show the lowest sensitivity to geophysical noise, while algorithms using the near-90 GHz channel show the highest sensitivity. Over sea ice, all algorithms have smaller c(ice) standard deviations compared to open water, with hybrid and low-frequency algorithms having the lowest sensitivity to noise.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Marcel Nicolaus, Donald K. Perovich, Gunnar Spreen, Mats A. Granskog, Luisa von Albedyll, Michael Angelopoulos, Philipp Anhaus, Stefanie Arndt, H. Jakob Belter, Vladimir Bessonov, Gerit Birnbaum, Joerg Brauchle, Radiance Calmer, Estel Cardellach, Bin Cheng, David Clemens-Sewall, Ruzica Dadic, Ellen Damm, Gijs de Boer, Oguz Demir, Klaus Dethloff, Dmitry Divine, Allison A. Fong, Steven Fons, Markus M. Frey, Niels Fuchs, Carolina Gabarro, Sebastian Gerland, Helge F. Goessling, Rolf Gradinger, Jari Haapala, Christian Haas, Jonathan Hamilton, Henna-Reetta Hannula, Stefan Hendricks, Andreas Herber, Celine Heuze, Mario Hoppmann, Knut Vilhelm Hoyland, Marcus Huntemann, Jennifer K. Hutchings, Byongjun Hwang, Polona Itkin, Hans-Werner Jacobi, Matthias Jaggi, Arttu Jutila, Lars Kaleschke, Christian Katlein, Nikolai Kolabutin, Daniela Krampe, Steen Savstrup Kristensen, Thomas Krumpen, Nathan Kurtz, Astrid Lampert, Benjamin Allen Lange, Ruibo Lei, Bonnie Light, Felix Linhardt, Glen E. Liston, Brice Loose, Amy R. Macfarlane, Mallik Mahmud, Ilkka O. Matero, Anne Morgenstern, Reza Naderpour, Vishnu Nandan, Alexey Niubom, Marc Oggier, Natascha Oppelt, Christophe Perron, Tomasz Petrovsky, Roberta Pirazzini, Chris Polashenski, Benjamin Rabe, Ian A. Raphael, Julia Regnery, Markus Rex, Robert Ricker, Kathrin Riemann-Campe, Annette Rinke, Jan Rohde, Evgenii Salganik, Randall K. Scharien, Martin Schiller, Martin Schneebeli, Maximilian Semmling, Egor Shimanchuk, Matthew D. Shupe, Madison M. Smith, Vasily Smolyanitsky, Vladimir Sokolov, Tim Stanton, Julienne Stroeve, Linda Thielke, Anna Timofeeva, Rasmus Tage Tonboe, Aikaterini Tavri, Michel Tsamados, David N. Wagner, Daniel Watkins, Melinda Webster, Manfred Wendisch
Summary: This study conducted year-round observations of the physical properties and processes of snow and ice in the Arctic Ocean, aiming to understand the interaction between the ice pack, atmosphere, and ocean. The results showed that the spatial variability of snow is crucial for understanding snow-related feedback processes, and the ice pack undergoes rapid transformations and motions during drift. These findings are important for improving climate models and validating remote sensing methods.
ELEMENTA-SCIENCE OF THE ANTHROPOCENE
(2022)
Article
Geography, Physical
Robbie D. C. Mallett, Julienne C. Stroeve, Michel Tsamados, Rosemary Willatt, Thomas Newman, Vishnu Nandan, Jack C. Landy, Polona Itkin, Marc Oggier, Matthias Jaggi, Don Perovich
Summary: The study analyzed snow depth data from Soviet drifting stations and derived a statistical distribution for snow depth on multiyear ice based on the mean snow depth. This distribution can be used to downscale existing snow depth products for flux modeling and altimetry studies.
JOURNAL OF GLACIOLOGY
(2022)
Article
Environmental Sciences
Mallik S. Mahmud, Vishnu Nandan, Suman Singha, Stephen E. L. Howell, Torsten Geldsetzer, John Yackel, Benoit Montpetit
Summary: This study used C-band and L-band SAR imagery to identify ice types in the Canadian Arctic and compared their features and classification accuracy. It was found that the dual-frequency approach improved classification accuracy, and the classification results of L-band alone were good.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Meteorology & Atmospheric Sciences
K. L. Confer, L. Jaegle, G. E. Liston, S. Sharma, V. Nandan, J. Yackel, M. Ewert, H. M. Horowitz
Summary: We studied the effects of changing Arctic sea ice conditions on sea salt aerosols (SSA) generated by oceanic wave-breaking and wind-lofted salty blowing snow on sea ice. We found that the surface mass concentrations of pan-Arctic SSA have increased during both the cold and warm seasons. These changes in SSA concentrations could have significant impacts on bromine explosions and Arctic climate feedbacks.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Oceanography
P. J. Langhorne, C. Haas, D. Price, W. Rack, G. H. Leonard, G. M. Brett, S. Urbini
Summary: This study presents the first inventory of fast ice thickness close to its annual maximum, using a 700 km airborne electromagnetic survey. The results show that rough ice occupies a significant portion and has larger thickness, while the sub-ice platelet layers (SIPLs) are thin in some areas but still have important implications.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2023)
Article
Environmental Sciences
Torsten Geldsetzer, John Yackel, Kiledar Singh Tomar, Mallik Mahmud, Vishnu Nandan, Shashi Kumar
Summary: The onset of melt ponds on landfast first-year and multiyear sea ice can be detected using spaceborne scatterometer data. The study used 29 locations in the Canadian Arctic Archipelago to develop and test the methodology. The results show that the temporal and spatial resolution of this method can provide robust sea ice melt pond onset timing for landfast sea ice regions of the Arctic.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Geography, Physical
Arttu Jutila, Christian Haas
Summary: This study aims to investigate microwave penetration into snow on Arctic sea ice using commercial C (6 GHz) and K (26 GHz) band radar. The results show that the C band radar backscatter originated closer to the snow-ice interface, potentially enabling snow depth retrieval. However, the analysis may be affected by warm air temperatures and inconclusive microwave interaction with saline basal layers in the snow cover.
ANNALS OF GLACIOLOGY
(2023)
Article
Geography, Physical
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, Mario Hoppmann
Summary: The redistribution of snow on sea ice driven by wind affects its topography and microstructure, but the impact on radar signatures is not well understood. In this study, the effects of snow redistribution on radar waveforms and backscatter signatures were examined using polarimetric Ka- and Ku-band radar. The results showed that snow redistribution caused changes in surface topography and increased scattering at the air-snow interface, which need to be considered to interpret radar measurements of snow-covered sea ice.
Article
Remote Sensing
David A. Jensen, Vishnu Nandan, Andrew R. Mahoney, John J. Yackel, Lynn M. Resler
Summary: Arctic sea ice decline affects stable landfast ice regimes, which are vital for indigenous hunters and local food webs. Break-out events in landfast ice cycles are generally understudied. Using SAR imagery, we detected and quantified break-out events on St. Lawrence Island. Results show 35 break-outs occurred from 1996-2019, mostly on the northern coastlines, with higher landfast ice cover and faster wind speeds compared to end-of-season breakups. Further research is needed to understand the influence of tidal amplitude and ocean currents on break-out occurrence.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Review
Ecology
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, Celine Le Bohec, Heike Link, Felix Christopher Mark, Sebastien Moreau, Scarlett Trimborn, Ilse van Opzeeland, Hans-Otto Poertner, Fokje Schaafsma, Katharina Teschke, Sandra Tippenhauer, Anton Van de Putte, Mia Wege, Daniel Zitterbart, Dieter Piepenburg
Summary: Systematic long-term studies on ecosystem dynamics are lacking in the East Antarctic Southern Ocean. This study proposes a framework for a cross-disciplinary long-term study in the eastern Weddell Sea and adjacent areas, which have so far experienced comparatively muted climate and environmental change. By establishing an observatory and conducting regular surveys, researchers aim to explore and map long-term changes in ocean dynamics, geochemistry, biodiversity, and ecosystem functions and services. The integrated approach will provide crucial data for understanding and projecting the consequences of climate change and supporting conservation efforts in the Southern Ocean.
Article
Geography, Physical
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, Martin Schneebeli
Summary: Arctic rain on snow can impact the accuracy of satellite radar altimetry, scatterometers, and passive microwave radiometers in retrieving sea ice variables. The study analyzes the effects of rain-on-snow and subsequent refreezing on active and passive microwave observations, providing important baseline knowledge for detecting rain-on-snow events and assessing their impacts on satellite-derived sea ice variables.
Article
Geography, Physical
Klaus Dethloff, Wieslaw Maslowski, Stefan Hendricks, Younjoo J. Lee, Helge F. Goessling, Thomas Krumpen, Christian Haas, Doerthe Handorf, Robert Ricker, Vladimir Bessonov, John J. Cassano, Jaclyn Clement Kinney, Robert Osinski, Markus Rex, Annette Rinke, Julia Sokolova, Anja Sommerfeld
Summary: During the winter of 2019/2020, the Arctic Oscillation (AO) experienced significant shifts, leading to changes in sea ice thickness in the Arctic region. The winter sea ice conditions in the Arctic Ocean can be significantly altered by AO variability.
