Summertime sea-ice prediction in the Weddell Sea improved by sea-ice thickness initialization. [PDF]
Sci Rep, 2021 AbstractSkillful sea-ice prediction in the Antarctic Ocean remains a big challenge due to paucity of sea-ice observations and insufficient representation of sea-ice processes in climate models. Using a coupled general circulation model, this study demonstrates skillful prediction of the summertime sea-ice concentration (SIC) in the Weddell Sea with ...
Morioka Y +4 more
europepmc +5 more sources
Estimating Arctic Sea Ice Thickness with CryoSat-2 Altimetry Data Using the Least Squares Adjustment Method [PDF]
Sensors, 2020 Satellite altimeters can be used to derive long-term and large-scale sea ice thickness changes. Sea ice thickness retrieval is based on measurements of freeboard, and the conversion of freeboard to thickness requires knowledge of the snow depth and snow,
Feng Xiao +5 more
doaj +2 more sources
Regime shift in Arctic Ocean sea ice thickness. [PDF]
Nature, 2023 AbstractManifestations of climate change are often shown as gradual changes in physical or biogeochemical properties1. Components of the climate system, however, can show stepwise shifts from one regime to another, as a nonlinear response of the system to a changing forcing2.
Sumata H +4 more
europepmc +4 more sources
New insight from CryoSat-2 sea ice thickness for sea ice modelling [PDF]
The Cryosphere, 2019 Estimates of Arctic sea ice thickness have been available from the CryoSat-2 (CS2) radar altimetry mission during ice growth seasons since 2010. We derive the sub-grid-scale ice thickness distribution (ITD) with respect to five ice thickness categories ...
D. Schröder +4 more
doaj +6 more sources
Discrimination Algorithm and Procedure of Snow Depth and Sea Ice Thickness Determination Using Measurements of the Vertical Ice Temperature Profile by the Ice-Tethered Buoys [PDF]
Sensors, 2018 Snow depth and sea ice thickness in the Polar Regions are significant indicators of climate change and have been measured over several decades by ice-tethered buoys.
Guangyu Zuo, Yinke Dou, Ruibo Lei
doaj +2 more sources
Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean–sea ice modelling system [PDF]
The Cryosphere, 2019 The accuracy of the initial state is very important for the quality of a forecast, and data assimilation is crucial for obtaining the best-possible initial state.
S. Fritzner +4 more
doaj +5 more sources
The effects of assimilating a sub-grid-scale sea ice thickness distribution in a new Arctic sea ice data assimilation system [PDF]
The Cryosphere, 2023 In the past decade groundbreaking new satellite observations of the Arctic sea ice cover have been made, allowing researchers to understand the state of the Arctic sea ice system in greater detail than before.
N. Williams +8 more
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Assimilating CryoSat-2 freeboard to improve Arctic sea ice thickness estimates [PDF]
The Cryosphere, 2023 In this study, a new method to assimilate freeboard (FB) derived from satellite radar altimetry is presented with the goal of improving the initial state of sea ice thickness predictions in the Arctic.
I. Sievers +3 more
doaj +1 more source
Probabilistic Forecasts of Arctic Sea Ice Thickness [PDF]
Journal of Agricultural, Biological and Environmental Statistics, 2021 AbstractIn recent decades, warming temperatures have caused sharp reductions in the volume of sea ice in the Arctic Ocean. Predicting changes in Arctic sea ice thickness is vital in a changing Arctic for making decisions about shipping and resource management in the region.
Peter A. Gao +3 more
openaire +2 more sources
A long-term proxy for sea ice thickness in the Canadian Arctic: 1996–2020 [PDF]
The Cryosphere, 2023 This study presents a long-term winter sea ice thickness proxy product for the Canadian Arctic based on a random forest regression model – applied to ice charts and scatterometer data, trained on CryoSat-2 observations, and applying an ice type–sea ice ...
I. A. Glissenaar +4 more
doaj +1 more source