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Some of the next articles are maybe not open access.

Sea ice concentration and motion assimilation in a sea ice−ocean model

Journal of Geophysical Research, 2008
A 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 ...
Matthew J Martin, Adrian Hines
exaly   +2 more sources

SAR Algorithm for Sea Ice Concentration—Evaluation for the Baltic Sea

IEEE Geoscience and Remote Sensing Letters, 2012
A 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.
Aaron A Berg   +2 more
exaly   +2 more sources

Baltic Sea Ice Concentration Estimation Based on C-Band HH-Polarized SAR Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2012
Juha Karvonen
exaly  

Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study

IEEE Transactions on Geoscience and Remote Sensing, 2016
K Andrea Scott   +2 more
exaly  

Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean–sea ice modelling system [PDF]

open access: yesThe Cryosphere, 2019
The accuracy of the initial state is very important for the quality of a forecast, and data assimilation is crucial for obtaining the best-possible initial state.
S. Fritzner   +4 more
doaj   +6 more sources

Improving Multiyear Sea Ice Concentration Estimates with Sea Ice Drift [PDF]

open access: yesRemote Sensing, 2016
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
doaj   +4 more sources

Intercomparison of passive microwave sea ice concentration retrievals over the high‐concentration Arctic sea ice [PDF]

open access: yesJournal of Geophysical Research, 2007
[1] 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 ...
Rasmus T Tonboe   +2 more
exaly   +3 more sources

Accounting for Label Errors When Training a Convolutional Neural Network to Estimate Sea Ice Concentration Using Operational Ice Charts

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Convolutional neural networks (CNNs) are being increasingly investigated as a means to extract sea ice concentration from synthetic aperture radar (SAR) in an automated manner. This is often done using ice charts as training data.
Manveer Singh Tamber   +2 more
doaj   +3 more sources

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