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Intercomparison of passive microwave sea ice concentration retrievals over the high-concentration Arctic sea ice [PDF]
Measurements of sea ice concentration from the Special Sensor Microwave Imager (SSM/I) using seven different algorithms are compared to ship observations, sea ice divergence estimates from the Radarsat Geophysical Processor System, and ice and water surface type classification of 59 wide‐swath synthetic aperture radar (SAR) scenes.
Lars Kaleschke +2 more
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Sea Ice Concentration and Sea Ice Extent Mapping with the Fsscat Mission: A Neural Network Approach
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021Knowledge about sea ice concentration and extent in polar regions is of great interest both for economic interests, and as a proxy of the climate change. Retrieved maps are based on data from microwave radiometers, which are currently provided by large satellite missions. Nowadays, CubeSats have proven to be a cost-effective alternative.
David Llavería +5 more
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Sea ice concentration and motion assimilation in a sea ice−ocean model
Journal of Geophysical Research: Oceans, 2008A sea ice concentration and motion assimilation scheme has been developed using the Met Office Forecasting Ocean Assimilation Model (FOAM). FOAM has been upgraded to include a more realistic sea ice rheology and a sea ice thickness distribution. The sea ice data assimilation scheme uses Special Sensor Microwave Imager (SSMI) and QuikSCAT satellite ...
John D. Stark +3 more
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SAR Algorithm for Sea Ice Concentration—Evaluation for the Baltic Sea
IEEE Geoscience and Remote Sensing Letters, 2012A new sea ice concentration algorithm has been developed for C-band synthetic aperture radar data. Detailed autocorrelation statistics are derived and adopted by the algorithm, and a neural network is utilized for training against 41 sea ice charts. The charts are produced by ice analysts at the Swedish Ice Service and cover the Baltic Sea.
Anders Berg, Leif E. B. Eriksson
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Sea Ice Concentration from the RADARSAT Constellation Mission for Numerical Sea Ice Prediction
2021 IEEE 19th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM), 2021In this study, our technique for automated extraction of sea ice concentration from RADARSAT-2 data was adapted to the recently launched RADARSAT Constellation mission (RCM). Ice concentrations were derived from more than 2,600 RCM images acquired between August 1, 2020 and March 31, 2021.
Alexander S. Komarov, Mark Buehner
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The deuterium concentration in Arctic sea ice
Journal of Geophysical Research, 1961Samples taken from cores of sea ice collected near Ice Island T-3 at 80°18′N, 113°W, and on US-IGY Drifting Station Alpha at approximate locations of 85°40′N, 127°W, and 83°N, 165°W, were analyzed for their relatives deuterium content. A plot of deuterium concentration vs.
Irving Friedman +2 more
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Response of passive microwave sea ice concentration algorithms to thin ice
2014 IEEE Geoscience and Remote Sensing Symposium, 2014The influence of sea ice thickness brightness temperatures and ice concentrations retrieved from passive microwave observations is quantified, using horizontally homogeneous sea ice thickness retrievals from ESA's SMOS sensor observations at high incidence angles.
Georg C. Heygster +4 more
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A Note on the Determination of Sea Ice Concentration
Journal of Offshore Mechanics and Arctic Engineering, 1991Abstract An argument is presented for the inclusion of diffusive effects in the equation governing the redistribution of sea ice. An ice concentration equation including diffusion is derived through Reynold’s averaging. This advection-diffusion equation is solved using the Eulerian-Lagrangian time-splitting technique, which affords both ...
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Seasonal variations in sea ice motion and effects on sea ice concentration in the Canada Basin
Journal of Geophysical Research: Oceans, 1989Drifting buoy data, surface pressure, and geostrophic wind analyses from the Arctic Ocean Buoy Program are used to examine seasonal features of the sea ice motion in the Canada Basin for 1979–1985. Although the 7‐year annual mean motion in this region is clockwise, the month‐to‐month motion is highly variable.
Mark C. Serreze +2 more
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