Results 31 to 40 of about 283,051 (325)

Accounting for Label Errors When Training a Convolutional Neural Network to Estimate Sea Ice Concentration Using Operational Ice Charts

open access: yesIEEE 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
doaj   +1 more source

The impact of a seasonally ice free Arctic Ocean on the temperature, precipitation and surface mass balance of Svalbard [PDF]

open access: yes, 2012
The observed decline in summer sea ice extent since the 1970s is predicted to continue until the Arctic Ocean is seasonally ice free during the 21st Century. This will lead to a much perturbed Arctic climate with large changes in ocean surface energy flux.
Bamber, Jonathan L   +3 more
core   +2 more sources

Sea Ice Concentration and Sea Ice Extent Mapping with the Fsscat Mission: A Neural Network Approach

open access: yes2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Peer ...
Llaveria, David   +5 more
openaire   +3 more sources

Consistent biases in Antarctic sea ice concentration simulated by climate models [PDF]

open access: yesThe 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
doaj   +1 more source

Sensitivity of Arctic warming to sea ice concentration [PDF]

open access: yesJournal of Geophysical Research: Atmospheres, 2016
AbstractWe examine the sensitivity of Arctic amplification (AA) to background sea ice concentration (SIC) under greenhouse warming by analyzing the data sets of the historical and Representative Concentration Pathway 8.5 runs of the Coupled Model Intercomparison Project Phase 5.
Yim, BY   +4 more
openaire   +3 more sources

Classifying the Ice Seasons 1982-2016 Using the Weighted Ice Days Number as a New Winter Severity Characteristic [PDF]

open access: yes, 2017
Sea ice is a key climate factor and it restricts considerably the winter navigation in severe seasons on the Baltic Sea. So determining ice conditions severity and describing ice cover behavior at severe seasons are necessary.
Alari, V. (Victor)   +2 more
core   +2 more sources

Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6 [PDF]

open access: yesThe Cryosphere, 2017
Sea ice cover and thickness have substantially decreased in the Arctic Ocean since the beginning of the satellite era. As a result, sea ice strength has been reduced, allowing more deformation and fracturing and leading to increased sea ice drift ...
D. Docquier   +6 more
doaj   +1 more source

Respective impacts of Arctic sea ice decline and increasing greenhouse gases concentration on Sahel precipitation [PDF]

open access: yes, 2019
The impact of climate change on Sahel precipitation is uncertain and has to be widely documented. Recently, it has been shown that Arctic sea ice loss leverages the global warming effects worldwide, suggesting a potential impact of Arctic sea ice decline
A Kitoh   +73 more
core   +1 more source

Analysis of Sea Ice Timing and Navigability along the Arctic Northeast Passage from 2000 to 2019

open access: yesJournal of Marine Science and Engineering, 2021
The ablation of Arctic sea ice makes seasonal navigation possible in the Arctic region, which accounted for the apparent influence of sea ice concentration in the navigation of the Arctic route.
Min Ji   +4 more
doaj   +1 more source

Brief communication: The challenge and benefit of using sea ice concentration satellite data products with uncertainty estimates in summer sea ice data assimilation [PDF]

open access: yesThe Cryosphere, 2016
Data assimilation experiments that aim at improving summer ice concentration and thickness forecasts in the Arctic are carried out. The data assimilation system used is based on the MIT general circulation model (MITgcm) and a local singular evolutive ...
Q. Yang   +5 more
doaj   +1 more source

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