Results 21 to 30 of about 39,126 (258)
Spatial-temporal variations of one-year ice in Antarctic different regions, 1988–2020
Ecological Indicators, 2023 In order to increase the comparability of Antarctic sea ice changes, we proposed a new method to quantitatively assess the spatial–temporal variation characteristics of Antarctic one-year ice based on daily Antarctic sea ice concentration data provided ...
Xingdong Wang, Hailong Zhou, Mingzhu Ji
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Impurity Concentrations In Sea Ice [PDF]
Journal of Glaciology, 1977 AbstractThree different types of saline ice were cut into sections a few millimeters thick along planes parallel to the surface. The resulting melts were analyzed quantitatively for chloride, sulphate, sodium, potassium, magnesium, and calcium. Two of the specimens were artificial sea ice, grown in the laboratory at ambient temperatures of —30°C and ...
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Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST [PDF]
The Cryosphere, 2018 Abstract. A multi-category numerical sea ice model CICE along with data assimilation was used to derive sea ice parameters in the region of Baffin Bay and Labrador Sea. The assimilation of ice concentration was performed using the data derived from Advanced Microwave Scanning Radiometer (AMSR-E & AMSR2).
S. Prasad +5 more
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Spatial Correlation Length Scales of Sea-Ice Concentration Errors for High-Concentration Pack Ice [PDF]
Remote Sensing, 2021 The European Organisation for the Exploitation of Meteorological Satellites-Ocean and Sea Ice Satellite Application Facility–European Space Agency-Climate Change Initiative (EUMETSAT-OSISAF–ESA-CCI) Level-4 sea-ice concentration (SIC) climate data records (CDRs), named SICCI-25km, SICCI-50km and OSI-450, provide gridded SIC error estimates in addition ...
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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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Characterization of Moisture Sources for Austral Seas and Relationship with Sea Ice Concentration [PDF]
Atmosphere, 2019 In this study, the moisture sources acting over each sea (Weddell, King Haakon VII, East Antarctic, Amundsen-Bellingshausen, and Ross-Amundsen) of the Southern Ocean during 1980–2015 are identified with the FLEXPART Lagrangian model and by using two approaches: backward and forward analyses.
Michelle Simões Reboita +5 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Sea ice concentration algorithms using brightness temperatures ($T_{B}$) from satellite microwave radiometers are used to compute sea ice concentration ($c_{\text{ice}}$), sea ice extent, and generate sea ice climate data records. Therefore, it is important to minimize the sensitivity of $c_{\text{ice}}$ estimates to geophysical noise caused by snow ...
Rasmus T. Tonboe +9 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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Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6 [PDF]
The 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
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Optimising assimilation of sea ice concentration in an Earth system model with a multicategory sea ice model [PDF]
Tellus A: Dynamic Meteorology and Oceanography, 2018 A data assimilation method capable of constraining the sea ice of an Earth system model in a dynamically consistent manner has the potential to enhance the accuracy of climate reconstructions and predictions. Finding such a method is challenging because the sea ice dynamics is highly non-linear, and sea ice variables are strongly non-Gaussian ...
M. Kimmritz +5 more
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