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Journal of Climate, 2021
AbstractThe current GFDL seasonal prediction system achieved retrospective sea ice extent (SIE) skill without direct sea ice data assimilation. Here we develop sea ice data assimilation, shown to be a key source of skill for seasonal sea ice predictions, in GFDL’s next-generation prediction system, the Seamless System for Prediction and Earth System ...
Mitchell Bushuk+8 more
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AbstractThe current GFDL seasonal prediction system achieved retrospective sea ice extent (SIE) skill without direct sea ice data assimilation. Here we develop sea ice data assimilation, shown to be a key source of skill for seasonal sea ice predictions, in GFDL’s next-generation prediction system, the Seamless System for Prediction and Earth System ...
Mitchell Bushuk+8 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.
Jun Yu+2 more
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A Note on the Determination of Sea Ice Concentration
Journal of Offshore Mechanics and Arctic Engineering, 1991Abstract An argument is presented for the inclusion of diffusive effects in the equation governing the redistribution of sea ice. An ice concentration equation including diffusion is derived through Reynold’s averaging. This advection-diffusion equation is solved using the Eulerian-Lagrangian time-splitting technique, which affords both ...
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SAR Algorithm for Sea Ice Concentration—Evaluation for the Baltic Sea
IEEE Geoscience and Remote Sensing Letters, 2012A 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.
Anders Berg, Leif E. B. Eriksson
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Climatic trends of sea surface temperature and sea ice concentration in the Barents Sea
2021<p>Sea ice loss in the Arctic region is an important indicator for climate change. Especially in the Barents Sea, which is expected to be free of ice by the mid of this century (Onarheim et al., 2018). Here, we analyze 38 years (1982-2019) of daily gridded sea surface temperature (SST) and sea ice concentration (SIC) from the Operational ...
Bayoumy Mohamed+2 more
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Seasonal variations in sea ice motion and effects on sea ice concentration in the Canada Basin
Journal of Geophysical Research: Oceans, 1989Drifting buoy data, surface pressure, and geostrophic wind analyses from the Arctic Ocean Buoy Program are used to examine seasonal features of the sea ice motion in the Canada Basin for 1979–1985. Although the 7‐year annual mean motion in this region is clockwise, the month‐to‐month motion is highly variable.
Alfred S. McLaren+2 more
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Temporal mixture analysis of SMMR sea ice concentrations [PDF]
Introduces 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.
Derek R. Peddle+2 more
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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.
Natalia Ivanova+4 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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Validation of SSM/I sea ice concentration algorithms for the Okhotsk Sea
IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174), 1998Satellite passive microwave radiometers, such as SSM/I, can observe sea ice distribution at global scale. Two sea ice concentration algorithms, namely the NASA Team algorithm and the Bootstrap algorithm were compared for the Okhotsk Sea. Though the correlation coefficient of the two ice concentrations were 0.97, the Bootstrap ice concentrations were ...
Toshibumi Sakata+3 more
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