Results 41 to 50 of about 176,859 (335)
Assessment of contemporary satellite sea ice thickness products for Arctic sea ice [PDF]
The Cryosphere, 2018 Abstract. Advances in remote sensing of sea ice over the past two decades have resulted in a wide variety of satellite-derived sea ice thickness data products becoming publicly available. Selecting the most appropriate product is challenging given end user objectives range from incorporating satellite-derived thickness information in operational ...
Eero Rinne +3 more
openaire +4 more sources
Modeled Trends in Antarctic Sea Ice Thickness [PDF]
Journal of Climate, 2014 Abstract Unlike the rapid sea ice losses reported in the Arctic, satellite observations show an overall increase in Antarctic sea ice concentration over recent decades. However, observations of decadal trends in Antarctic ice thickness, and hence ice volume, do not currently exist.
Holland, Paul R. +5 more
openaire +4 more sources
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
doaj +1 more source
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
doaj +1 more source
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
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
doaj +1 more source
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
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
core +1 more source
Will Arctic sea ice thickness initialization improve seasonal forecast skill? [PDF]
, 2014 Arctic sea ice thickness is thought to be an important predictor of Arctic sea ice extent. However, coupled seasonal forecast systems do not generally use sea ice thickness observations in their initialization and are therefore missing a potentially ...
Bitz +39 more
core +1 more source
Environmental Research Letters, 2022 The satellite-observed sea ice thickness (SIT) records from 2003 to 2020 identify an extreme SIT loss during 2010–2011. Ice thickness budget analysis demonstrates that the thickness loss was associated with an extraordinarily large multiyear ice (MYI ...
Xuewei Li +6 more
doaj +1 more source