Results 31 to 40 of about 336,668 (362)

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

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, K. Andrea Scott, Leif Toudal Pedersen   +2 more
doaj   +1 more source

Assimilation of sea surface temperature, sea ice concentration and sea ice drift in a model of the Southern Ocean [PDF]

Ocean Modelling, 2015
Current ocean models have relatively large errors and biases in the Southern Ocean. The aim of this study is to provide a reanalysis from 1985 to 2006 assimilating sea surface temperature, sea ice concentration and sea ice drift. In the following it is also shown how surface winds in the Southern Ocean can be improved using sea ice drift estimated from
Alexander Barth, Martin Canter, Bert Van Schaeybroeck, Stéphane Vannitsem, François Massonnet, Violette Zunz, Pierre Mathiot, Aida Alvera-Azcárate, Jean-Marie Beckers   +8 more
openaire   +3 more sources

Seasonal Arctic sea ice forecasting with probabilistic deep learning [PDF]

, 2021
Anthropogenic warming has led to an unprecedented year-round reduction in Arctic sea ice extent. This has far-reaching consequences for indigenous and local communities, polar ecosystems, and global climate, motivating the need for accurate seasonal sea ...
Aksenov, Y, Andersson, TR, Blanchard-Wrigglesworth, E, Byrne, J, Downie, R, Elliott, A, Hosking, JS, Jones, DC, Law, S, Paige, B, Phillips, T, Pérez-Ortiz, M, Russell, C, Sarojini, BB, Shuckburgh, E, Tietsche, S, Wilkinson, J   +16 more
core   +6 more sources

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

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Peer ...
Llaveria, David, Muñoz-Martín, Joan Francesc, Herbert, Christoph, Pablos, Miriam, Camps, Adriano, Park, Hyuk   +5 more
openaire   +3 more sources

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, L. A. Roach, S. M. Dean, J. A. Renwick   +3 more
doaj   +1 more source

Sensitivity of Arctic warming to sea ice concentration [PDF]

Journal 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, Min, HS, Kim, BM, Jeong, JH, Kug, JS   +4 more
openaire   +3 more sources

Drivers of Interannual Sea Ice Concentration Variability in the Atlantic Water Inflow Region North of Svalbard [PDF]

, 2021
Sea ice concentration along the continental margin of the Arctic Ocean is influenced by a multitude of factors, including local freezing and melting due to atmospheric forcing, lateral advection of sea ice by winds and ocean currents, and melting from ...
Lundesgaard, Øyvind, Renner, Angelika, Sundfjord, Arild   +2 more
core   +1 more source

Improving numerical accuracy for the viscous-plastic formulation of sea ice [PDF]

, 2022
Accurate modeling of sea ice dynamics is critical for predicting environmental variables and is important in applications such as navigating ice breaker ships. Research for both modeling and simulating sea ice dynamics is ongoing, with the most widely accepted model based on the viscous-plastic (VP) formulation introduced by Hibler in 1979.
arxiv   +1 more source

Sea ice concentration impacts dissolved organic gases in the Canadian Arctic [PDF]

Biogeosciences, 2021
Abstract. The marginal sea ice zone has been identified as a source of different climate active gases to the atmosphere due to its unique biogeochemistry. However, it remains highly undersampled and the impact of changes in sea ice concentration on the distributions of these gases is poorly understood.
C. Wohl, C. Wohl, C. Wohl, C. Wohl, A. E. Jones, W. T. Sturges, P. D. Nightingale, P. D. Nightingale, P. D. Nightingale, B. Else, B. J. Butterworth, B. J. Butterworth, M. Yang   +12 more
openaire   +8 more sources

MT-IceNet -- A Spatial and Multi-Temporal Deep Learning Model for Arctic Sea Ice Forecasting [PDF]

IEEE Xplore pp. 1-10 (2022), 2023
Arctic amplification has altered the climate patterns both regionally and globally, resulting in more frequent and more intense extreme weather events in the past few decades. The essential part of Arctic amplification is the unprecedented sea ice loss as demonstrated by satellite observations. Accurately forecasting Arctic sea ice from sub-seasonal to
arxiv   +1 more source