Multidecadal Arctic sea ice thickness and volume derived from ice age [PDF]
The Cryosphere, 2020 Sea ice is a key component of the Arctic climate system, and has impacts on global climate. Ice concentration, thickness, and volume are among the most important Arctic sea ice parameters.
Y. Liu, J. R. Key, X. Wang, M. Tschudi
doaj +1 more source
Feasibility of retrieving Arctic sea ice thickness from the Chinese HY-2B Ku-band radar altimeter [PDF]
The Cryosphere, 2023 With the continuous development of the China ocean dynamic environment satellite series (Haiyang-2, HY-2), it is urgent to explore the potential application of HY-2B in Arctic sea ice thickness retrievals.
Z. Dong +10 more
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Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea [PDF]
The Cryosphere, 2021 Ocean–sea-ice coupled models constrained by various observations provide different ice thickness estimates in the Antarctic. We evaluate contemporary monthly ice thickness from four reanalyses in the Weddell Sea: the German contribution of the project ...
Q. Shi +5 more
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Frontiers in Environmental Science, 2022 Obtaining field sea ice data is crucial for the validation and improvement of satellite data and numerical models. During the 36th Chinese National Antarctic Research Expedition, seven field observations covering the whole area were conducted in Nella ...
Xiaoyu Sun +6 more
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Improving Met Office seasonal predictions of Arctic sea ice using assimilation of CryoSat-2 thickness [PDF]
The Cryosphere, 2018 Interest in seasonal predictions of Arctic sea ice has been increasing in recent years owing, primarily, to the sharp reduction in Arctic sea-ice cover observed over the last few decades, a decline that is projected to continue.
E. W. Blockley, K. A. Peterson
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Impact assessment of snow thickness, sea ice density and water density in CryoSat-2-derived sea ice thickness [PDF]
The CryosphereSea ice thickness is an essential climate variable, which is often derived from satellite altimetry freeboard estimates, e.g., by CryoSat-2. In order to convert freeboard to sea ice thickness, assumptions are needed for snow thickness, snow density, sea ...
I. Sievers +2 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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Deep learning of systematic sea ice model errors from data assimilation increments [PDF]
, 2023 Data assimilation is often viewed as a framework for correcting short-term error growth in dynamical climate model forecasts. When viewed on the time scales of climate however, these short-term corrections, or analysis increments, can closely mirror the systematic bias patterns of the dynamical model. In this study, we use convolutional neural networks
arxiv +1 more source
Improvement and Sensitivity Analysis of Thermal Thin-Ice Thickness Retrievals [PDF]
, 2012 Considering the sea ice decline in the Arctic during the last decades, polynyas are of high research interest since these features are core areas of new ice formation.
Adams, Susann +3 more
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Rigorous Analysis and Dynamics of Hibler's sea ice model [PDF]
, 2021 This article develops for the first time a rigorous analysis of Hibler's model of sea ice dynamics. Identifying Hibler's ice stress as a quasilinear second order operator and regarding Hibler's model as a quasilinear evolution equation, it is shown that Hibler's coupled sea ice model, i.e., the model coupling velocity, thickness and compactness of sea ...
arxiv +1 more source