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 +10 more sources
Dependence of sea ice yield-curve shape on ice thickness [PDF]
Journal of Physical Oceanography, 2004 In this note, the authors discuss the contribution that frictional sliding of ice floes (or floe aggregates) past each other and pressure ridging make to the plastic yield curve of sea ice.
Alexander V. Wilchinsky +17 more
core +7 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
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
Assimilation of sea-ice concentration in a global climate model – physical and statistical aspects [PDF]
Ocean Science, 2013 We investigate the initialisation of Northern Hemisphere sea ice in the global climate model ECHAM5/MPI-OM by assimilating sea-ice concentration data. The analysis updates for concentration are given by Newtonian relaxation, and we discuss different ways
S. Tietsche +3 more
doaj +5 more sources
Near-real-time Arctic sea ice thickness and volume from CryoSat-2 [PDF]
The Cryosphere, 2016 Timely observations of sea ice thickness help us to understand the Arctic climate, and have the potential to support seasonal forecasts and operational activities in the polar regions.
R. L. Tilling, A. Ridout, A. Shepherd
doaj +6 more sources
A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data [PDF]
The Cryosphere, 2017 Sea-ice thickness on a global scale is derived from different satellite sensors using independent retrieval methods. Due to the sensor and orbit characteristics, such satellite retrievals differ in spatial and temporal resolution as well as in the ...
R. Ricker +7 more
doaj +4 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
doaj +1 more source
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
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