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Published in 2017 at "Journal of Meteorological Research"
DOI: 10.1007/s13351-017-6105-7
Abstract: Arctic sea ice concentration (ASIC) in boreal autumn exhibits prominent interannual variability since 1979. The physical mechanism responsible for the year-to-year variation of ASIC is investigated through observational data analyses and idealized numerical modeling. It…
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Keywords:
sea ice;
sea;
boreal;
ice concentration ... See more keywords
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Published in 2018 at "Cold Regions Science and Technology"
DOI: 10.1016/j.coldregions.2018.08.014
Abstract: Abstract In this study the use of support vector machines (SVM), a popular type of machine learning algorithm, for monitoring river ice properties during freeze-up was investigated. The goal was to develop an automated image…
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Keywords:
total surface;
surface ice;
river ice;
ice ... See more keywords
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Published in 2017 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2017.05.018
Abstract: Abstract Two independent VIIRS-based Sea Ice Concentration (SIC) products are validated against SIC as estimated from Very High Spatial Resolution Imagery for several VIIRS overpasses. The 375 m resolution VIIRS SIC from the Interface Data Processing…
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Keywords:
resolution;
imagery;
sea ice;
validation ... See more keywords
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Published in 2020 at "Annals of Glaciology"
DOI: 10.1017/aog.2020.23
Abstract: Abstract The role of synoptic-scale cyclones in the trends and variability of Arctic sea ice conditions has remained uncertain. In recognition, we conduct a systematic investigation of how sea-ice concentration (SIC) changes with cyclone passage,…
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Keywords:
sea ice;
synoptic scale;
concentration;
ice ... See more keywords
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3
Published in 2023 at "Geophysical Research Letters"
DOI: 10.1029/2022gl102115
Abstract: The predictive skill of summer sea ice concentration (SIC) in the Arctic presents a steep decline when initialized before June, which is the so‐called spring predictability barrier for Arctic sea ice. This study explores the…
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Keywords:
arctic sea;
sea ice;
spring;
sea ... See more keywords
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Published in 2023 at "Geophysical Research Letters"
DOI: 10.1029/2022gl102691
Abstract: The sea ice concentration (SIC) over the Weddell Sea displays obvious intraseasonal variability during austral autumn with a dominant frequency of 5–20 days. The intraseasonal SIC variability is manifested as development of sea ice anomalies…
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Keywords:
weddell sea;
sea ice;
variability;
sea ... See more keywords
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Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-73211-z
Abstract: Sea ice cover in the Arctic and Antarctic is an important indicator of changes in the climate, with important environmental, economic and security consequences. The complexity of the spatio-temporal dynamics of sea ice makes it…
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Keywords:
sea;
sea ice;
ice concentration;
decomposition ... See more keywords
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Published in 2017 at "Scientific Reports"
DOI: 10.1038/srep45804
Abstract: Sea ice is an important component of the global climate system and a key indicator of climate change. A decreasing trend in Arctic sea-ice concentration is evident in recent years, whereas Antarctic sea-ice concentration exhibits…
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Keywords:
sea;
antarctic sea;
sea ice;
ice concentration ... See more keywords
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Published in 2019 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2019.1582113
Abstract: ABSTRACT Convolutional neural networks (CNNs) are being used increasingly for classification and regression tasks in remote sensing. However, a challenge in the remote sensing field is having a sufficient quantity of data to train a…
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Keywords:
sea ice;
training data;
convolutional neural;
ice ... See more keywords
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Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3141063
Abstract: 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.…
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Keywords:
ice;
sea ice;
ice concentration;
convolutional neural ... See more keywords
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Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.2982959
Abstract: A geophysical model function (GMF) for sea ice concentration (SIC) retrieval is developed based on the spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) data measured by the TechDemoSat-1 (TDS-1) satellite. The spreading characteristics of onboard…
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Keywords:
sea ice;
spaceborne gnss;
tds data;
ice concentration ... See more keywords