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
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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
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Theory of the Sea Ice Thickness Distribution [PDF]
Physical Review Letters, 2015 3 pages, 2 ...
Toppaladoddi, Srikanth +1 more
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Dependence of Sea Ice Yield-Curve Shape on Ice Thickness [PDF]
Journal of Physical Oceanography, 2004 Abstract 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. Using results from a previous study that explicitly modeled the amount of sliding and ridging that occurs for a given global strain rate, it
Wilchinsky A., Feltham D.
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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 ...
Heidi Sallila +3 more
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Impact of assimilating sea ice concentration, sea ice thickness andsnow depth in a coupled ocean-sea ice modeling system [PDF]
The Cryosphere, 2018 Abstract. 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. For many years, sea-ice concentration was the only parameter used for assimilation into numerical sea-ice models.
Sindre Fritzner +4 more
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New insight from CryoSat-2 sea ice thickness for sea ice modelling [PDF]
The Cryosphere, 2018 Abstract. 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 used in a sea ice component (Community Ice CodE, CICE) of climate simulations.
David Schröder +4 more
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Near Real Time Arctic sea ice thickness and volume from CryoSat-2 [PDF]
, 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.
Rachel Tilling, A. Ridout, A. Shepherd
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A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data [PDF]
, 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 ...
Robert Ricker +5 more
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Optimization of a Sea Ice Model Using Basinwide Observations of Arctic Sea Ice Thickness, Extent, and Velocity [PDF]
, 2006 A stand-alone sea ice model is tuned and validated using satellite-derived, basinwide observations of sea ice thickness, extent, and velocity from the years 1993 to 2001. This is the first time that basin-scale measurements of sea ice thickness have been
Paul Miller +3 more
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