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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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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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Oscillatory behavior in Arctic sea ice concentrations
Journal of Geophysical Research: Oceans, 1996We have done a frequency analysis of the 9‐year record of sea ice concentrations obtained with the NASA Nimbus 7 scanning multichannel microwave radiometer (SMMR). Because of the periodic revisit time of the SMMR, we are able to examine recurrence of shorter‐period oscillations, as aliased by the revisit frequency, and longer‐period oscillations per se.
Per Gloersen +2 more
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IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
This paper assessed the accuracy of four passive microwave (PM) sea ice concentration (SIC) products in polar regions by using twelve scenes MODIS images under clear-sky conditions. The SIC products include the DMSP SSMIS with Arctic Radiation and Turbulence Interaction Study Sea Ice (ASI) algorithm (SSMIS/ASI), the GCOM-W AMSR2 with NASA Bootstrap (BT)
Shuang Liang +4 more
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This paper assessed the accuracy of four passive microwave (PM) sea ice concentration (SIC) products in polar regions by using twelve scenes MODIS images under clear-sky conditions. The SIC products include the DMSP SSMIS with Arctic Radiation and Turbulence Interaction Study Sea Ice (ASI) algorithm (SSMIS/ASI), the GCOM-W AMSR2 with NASA Bootstrap (BT)
Shuang Liang +4 more
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Atmosphere-Ocean, 2014
AbstractIce concentration data from passive microwave sensors are not reliable during the summer melt season. In this study passive microwave ice concentration estimates are improved upon through the assimilation of ice surface temperature data from the Moderate-Resolution Imaging Spectroradiometer (MODIS).
Wenxia Tan +2 more
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AbstractIce concentration data from passive microwave sensors are not reliable during the summer melt season. In this study passive microwave ice concentration estimates are improved upon through the assimilation of ice surface temperature data from the Moderate-Resolution Imaging Spectroradiometer (MODIS).
Wenxia Tan +2 more
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Monthly average polar sea-ice concentration
Data Series, 1995This data set represents the results of calculations carried out on sea-ice-concentration data from the SMMR and SSM/I instruments. The original data were obtained from the National Snow and Ice Data Center (NSIDC). The data set also contains the source code of the programs that made the calculations.
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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 Heygster +4 more
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Temporal mixture analysis of SMMR sea ice concentrations
IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium, 2002Introduces the idea of temporal mixture analysis (TMA) for analyzing long sequences of hypertemporal remote sensing imagery. The basis of this approach is spectral mixture analysis, which the authors adapt from the spectral domain to the time domain and apply it to a 9-year record of sea ice concentrations in the Northern Hemisphere.
J.M. Piwowar, D.R. Peddle, E.F. LeDrew
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Calibrated Probabilistic Forecasts of Arctic Sea Ice Concentration
Journal of Climate, 2019Seasonal forecasts of Arctic sea ice using dynamical models are inherently uncertain and so are best communicated in terms of probabilities. Here, we describe novel statistical postprocessing methodologies intended to improve ensemble-based probabilistic forecasts of local sea ice concentration (SIC). The first of these improvements is the application
Arlan Dirkson +2 more
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Towards Improved Mapping of Sea Ice Concentration and Sea Ice Thickness with SWOT
Observing sea ice concentration (SIC) and thickness (SIT) remains a key challenge for climate monitoring and modeling. Satellite altimetry provides measurements of ice and sea level anomaly from which can be estimated SIC, sea ice freeboard, and ultimately SIT.Metref, Sammy +5 more
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