Brief communication: The challenge and benefit of using sea ice concentration satellite data products with uncertainty estimates in summer sea ice data assimilation [PDF]
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
Sea ice loss and accelerated warming in the Barents Sea have recently been one of the main concerns of climate research. In this study, we investigated the trends and possible relationships between sea surface temperature (SST), sea ice concentration (SIC), and local and large-scale atmospheric parameters over the last 39 years (1982 to 2020).
Mohamed, Bayoumy Abdelaziz +2 more
openaire +4 more sources
CGAN Based Improved ASI Retrieval Algorithm for Antarctic Sea Ice Concentration
Sea ice change is closely related to the change of global atmosphere and ocean circulation, which plays an important role in the study of global climate change.
Xingdong Wang +4 more
doaj +1 more source
Relationship between sea ice concentration and sea ice albedo over Antarctica
Abstract : Sea ice is a key parameter for understanding the climate change in cryosphere. In this study,we investigated the correlation with the factors that influenced change of the sea ice extent. We used the SeaIce Concentration (SIC) from Ocean and Sea Ice Satellite Application Facility (OSI-SAF), and surface albedoprovided by The Satellite ...
Minji Seo +4 more
openaire +2 more sources
Assimilation of sea surface temperature, sea ice concentration and sea ice drift in a model of the Southern Ocean [PDF]
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
Barth, Alexander +8 more
openaire +3 more sources
On the measure of sea ice area from sea ice concentration data sets
The measure of sea ice surface variability provides a fundamental information on the climatology of the Arctic region. Sea ice extension is conventionally measured by two parameters, i.e. Sea Ice Extent (SIE) and Sea Ice Area (SIA), both parameters being derived from Sea Ice Concentration (SIC) data sets.
BOCCOLARI, Mauro, Parmiggiani, Flavio
openaire +1 more source
Machine Learning-Based Image Processing for Ice Concentration during Chukchi and Beaufort Sea Trials
Growing interest in finding the optimal route through the arctic ocean, and sea ice concentration is also emerging as a factor to be considered. In this paper, an algorithm to calculate the sea ice concentration was developed based on the images taken ...
Huichan Kim +2 more
doaj +1 more source
Implementation and validation of a new weather filter for reducing weather effect in the ASMR2 sea ice concentration data [PDF]
Passive microwave radiometers observe the Earth's surface under practically all weather conditions, providing continuous global sea ice distributions on a daily basis.
K. Cho, M. Kachi, R. Shimada, J. Comiso
doaj +1 more source
Arctic Sea Ice Concentration Assimilation in an Operational Global 1/10° Ocean Forecast System
To understand the Arctic environment, which is closely related to sea ice and to reduce potential risks, reliable sea ice forecasts are indispensable. A practical, lightweight yet effective assimilation scheme of sea ice concentration based on Optimal ...
Qiuli Shao +5 more
doaj +1 more source
The Arctic sea ice cover of 2016: a year of record-low highs and higher-than-expected lows [PDF]
The Arctic sea ice cover of 2016 was highly noteworthy, as it featured record low monthly sea ice extents at the start of the year but a summer (September) extent that was higher than expected by most seasonal forecasts.
A. A. Petty +10 more
doaj +1 more source

