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Improving Multiyear Sea Ice Concentration Estimates with Sea Ice Drift [PDF]
Multiyear ice (MYI) concentration can be retrieved from passive or active microwave remote sensing observations. One of the algorithms that combines both observations is the Environmental Canada Ice Concentration Extractor (ECICE).
Yufang Ye +3 more
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When navigating ships in cold regions, sea ice concentration plays a crucial role in determining a ship’s navigability. However, automatically extracting the sea ice concentration and floe size distribution remains challenging, due to the difficulty in ...
Li Zhou, Jinyan Cai, Shifeng Ding
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Sea and Freshwater Ice Concentration from VIIRS on Suomi NPP and the Future JPSS Satellites
Information on ice is important for shipping, weather forecasting, and climate monitoring. Historically, ice cover has been detected and ice concentration has been measured using relatively low-resolution space-based passive microwave data.
Yinghui Liu, Jeffrey Key, Robert Mahoney
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In this study, a convolutional neural network (CNN) is used to estimate sea ice concentration using synthetic aperture radar (SAR) scenes acquired during freeze-up in the Gulf of St. Lawrence on the east coast of Canada.
Lei Wang +2 more
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Ice concentration estimates are typically acquired from algorithms using passive microwave satellite data, and from image analysis charts, but these have limitations. Estimates acquired from passive microwave data have coarse spatial resolution, may have
Keerthijan Radhakrishnan +2 more
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The computational model was established to investigate the characteristics of oil spreading under arctic environments focusing on two aspects: ice concentrations and wave impacts.
Wei Li +3 more
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Analysis of Sea Ice Timing and Navigability along the Arctic Northeast Passage from 2000 to 2019
The ablation of Arctic sea ice makes seasonal navigation possible in the Arctic region, which accounted for the apparent influence of sea ice concentration in the navigation of the Arctic route.
Min Ji +4 more
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Article describes a probabilistic model (stochastic generator) of spatial-temporal variability of sea ice concentration. Values of the ice concentration are generated at the nodes of the spatial grid with 10 km resolution; the model time step is one day.
R. I. May +4 more
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MID-TERM FORECAST FOR THE ICE CONDITIONS IN THE BERING SEA
Application of CICE ice model for the mid-term (days) forecasting in the Bering Sea is considered, with short description of the model. Dependence of the sea surface temperature on the air temperature forecasted by GFS (Global Forecasting System) is ...
A. N. Vrazhkin
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Distinguishing sea ice and water is crucial for safe navigation and carrying out offshore activities in ice zones. However, due to the complexity and dynamics of the ice–water boundary, it is difficult for many deep learning-based segmentation algorithms
Wei Song +4 more
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