Results 11 to 20 of about 7,279,413 (322)
Remote Sensing, 2023 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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Remote Sensing, 2020 The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system generates global, daily, gap-filled foundation sea surface temperature (SST) fields from satellite data and in situ observations.
Simon Good +10 more
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IEEE 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
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Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean–sea ice modelling system [PDF]
The 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
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Sea and Freshwater Ice Concentration from VIIRS on Suomi NPP and the Future JPSS Satellites
Remote Sensing, 2016 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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Remote Sensing, 2017 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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New methodology to estimate Arctic sea ice concentration from SMOS combining brightness temperature differences in a maximum-likelihood estimator [PDF]
The Cryosphere, 2017 Monitoring sea ice concentration is required for operational and climate studies in the Arctic Sea. Technologies used so far for estimating sea ice concentration have some limitations, for instance the impact of the atmosphere, the physical ...
C. Gabarro +5 more
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Improving Arctic sea ice edge forecasts by assimilating high horizontal resolution sea ice concentration data into the US Navy's ice forecast systems [PDF]
The Cryosphere, 2015 This study presents the improvement in ice edge error within the US Navy's operational sea ice forecast systems gained by assimilating high horizontal resolution satellite-derived ice concentration products.
P. G. Posey +10 more
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The EUMETSAT sea ice concentration climate data record [PDF]
The Cryosphere, 2016 An Arctic and Antarctic sea ice area and extent dataset has been generated by EUMETSAT's Ocean and Sea Ice Satellite Application Facility (OSISAF) using the record of microwave radiometer data from NASA's Nimbus 7 Scanning Multichannel Microwave ...
R. T. Tonboe +8 more
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Consistent biases in Antarctic sea ice concentration simulated by climate models [PDF]
The Cryosphere, 2018 The simulation of Antarctic sea ice in global climate models often does not agree with observations. In this study, we examine the compactness of sea ice, as well as the regional distribution of sea ice concentration, in climate models from the latest
L. A. Roach +3 more
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