Results 71 to 80 of about 453,303 (276)
Brief communication: impacts of ocean-wave-induced breakup of Antarctic sea ice via thermodynamics in a stand-alone version of the CICE sea-ice model [PDF]
, 2017 Impacts of wave-induced breakup of Antarctic sea ice on ice concentration and volume are investigated using a modified version of the CICE sea-ice model, run in standalone mode from 1979–2010.
Bennetts, L., O'Farrell, S., Uotila, P.
core +2 more sources
Artificial Neural Network for the Short-Term Prediction of Arctic Sea Ice Concentration
Remote Sensing, 2019 In this paper, we applied an artificial neural network (ANN) to the short-term prediction of the Arctic sea ice concentration (SIC). The prediction was performed using encoding and decoding processes, in which a gated recurrent unit encodes sequential ...
Minjoo Choi +2 more
semanticscholar +1 more source
Erroneous sea-ice concentration retrieval in the East Antarctic [PDF]
Annals of Glaciology, 2018 ABSTRACTLarge discrepancies have been observed between satellite-derived sea-ice concentrations(IC) from passive microwave remote sensing and those derived from optical images at several locations in the East Antarctic, between February and April 2014. These artefacts, that resemble polynyas in the IC maps, appear in areas where optical satellite data ...
Gunnar Spreen +4 more
openaire +3 more sources
Impact of the ice thickness distribution discretization on the sea ice concentration variability in the NEMO3.6-LIM3 global ocean–sea ice model [PDF]
Geoscientific Model Development, 2019 Abstract. This study assesses the impact of different sea ice thickness distribution (ITD) configurations on the sea ice concentration (SIC) variability in ocean-standalone NEMO3.6-LIM3 simulations. Three ITD configurations with different numbers of sea ice thickness categories and boundaries are evaluated against three different satellite products ...
Moreno Chamarro, Eduardo +2 more
openaire +8 more sources
Improving short-term sea ice concentration forecasts using deep learning [PDF]
The CryosphereReliable short-term sea ice forecasts are needed to support maritime operations in polar regions. While sea ice forecasts produced by physically based models still have limited accuracy, statistical post-processing techniques can be applied to reduce ...
C. Palerme +10 more
doaj +1 more source
, 2015 In this study the forecast skill of the U.S. Navy operational Arctic sea ice forecast system, the Arctic Cap Nowcast/Forecast System (ACNFS), is presented for the period Feb 2014 – June 2015.
D. Hebert +7 more
semanticscholar +1 more source
Prediction of Arctic Sea Ice Concentration Using a Fully Data Driven Deep Neural Network
Remote Sensing, 2017 The Arctic sea ice is an important indicator of the progress of global warming and climate change. Prediction of Arctic sea ice concentration has been investigated by many disciplines and predictions have been made using a variety of methods.
J. Chi, Hyun‐cheol Kim
semanticscholar +1 more source
Variation of dimethylsulfide mixing ratio over the Southern Ocean from 36°S to 70°S [PDF]
, 2014 Atmospheric dimethylsulfide (DMS) was measured to investigate the variation in its concentration over sea ice free oceans and sea ice regions of the Southern Ocean, using a proton transfer reaction-mass spectrometer (PTR-MS) on board the icebreaker ...
Koga, Seizi, Nomura, Daiki, Wada, Makoto
core +1 more source
The Cryosphere, 2023 Abstract. Operational forecasting systems routinely assimilate daily means of sea ice concentration (SIC) from microwave radiometers in order to improve the accuracy of the forecasts. However, the temporal and spatial averaging of the individual satellite swaths into daily means of SIC entails two main drawbacks: (i) the spatial resolution of the ...
Durán Moro, Marina +6 more
openaire +6 more sources
Arctic Ocean sea ice response to Northern Annular Mode-like wind forcing [PDF]
, 2003 The response of the Arctic Ocean sea ice system to Northern Annular Mode-like wind forcing has been investigated using an ocean/sea ice general circulation model coupled to an atmospheric boundary layer model.
Krahmann, Gerd, Visbeck, Martin
core +1 more source