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The Future of Sea Ice Modeling
by
Rampal, Pierre
, Aksenov, Yevgeny
, Maisonnave, Eric
, Roberts, Andrew
, Rousset, Clément
, Fichefet, Thierry
, Madec, Gurvan
, Blockley, Ed
, Tremblay, Bruno
, Lemieux, Jean-François
, Losch, Martin
, Salas y Melia, David
, Ólason, Einar
, Feltham, Daniel
, Hunke, Elizabeth
, Iovino, Doroteaciro
, Bitz, Cecilia
, Garric, Gilles
, Schroeder, David
, Tietsche, Steffen
, Notz, Dirk
, Turner, Adrian
, Massonnet, François
, Vancoppenolle, Martin
in
Data assimilation
/ Data collection
/ Deformation
/ Drift estimation
/ Earth Sciences
/ Forecasting
/ Glaciology
/ Ice
/ Ice cover
/ Ice models
/ Ice thickness
/ Localization
/ Meeting Summary
/ Ocean circulation
/ Oceanography
/ Rheology
/ SAR (radar)
/ Sciences of the Universe
/ Sea ice
/ Sea ice concentrations
/ Sea ice deformation
/ Sea ice models
/ Sea ice properties
/ Sea ice thickness
/ Synthetic aperture radar
/ Thickness
/ Velocity
2020
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The Future of Sea Ice Modeling
by
Rampal, Pierre
, Aksenov, Yevgeny
, Maisonnave, Eric
, Roberts, Andrew
, Rousset, Clément
, Fichefet, Thierry
, Madec, Gurvan
, Blockley, Ed
, Tremblay, Bruno
, Lemieux, Jean-François
, Losch, Martin
, Salas y Melia, David
, Ólason, Einar
, Feltham, Daniel
, Hunke, Elizabeth
, Iovino, Doroteaciro
, Bitz, Cecilia
, Garric, Gilles
, Schroeder, David
, Tietsche, Steffen
, Notz, Dirk
, Turner, Adrian
, Massonnet, François
, Vancoppenolle, Martin
in
Data assimilation
/ Data collection
/ Deformation
/ Drift estimation
/ Earth Sciences
/ Forecasting
/ Glaciology
/ Ice
/ Ice cover
/ Ice models
/ Ice thickness
/ Localization
/ Meeting Summary
/ Ocean circulation
/ Oceanography
/ Rheology
/ SAR (radar)
/ Sciences of the Universe
/ Sea ice
/ Sea ice concentrations
/ Sea ice deformation
/ Sea ice models
/ Sea ice properties
/ Sea ice thickness
/ Synthetic aperture radar
/ Thickness
/ Velocity
2020
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Do you wish to request the book?
The Future of Sea Ice Modeling
by
Rampal, Pierre
, Aksenov, Yevgeny
, Maisonnave, Eric
, Roberts, Andrew
, Rousset, Clément
, Fichefet, Thierry
, Madec, Gurvan
, Blockley, Ed
, Tremblay, Bruno
, Lemieux, Jean-François
, Losch, Martin
, Salas y Melia, David
, Ólason, Einar
, Feltham, Daniel
, Hunke, Elizabeth
, Iovino, Doroteaciro
, Bitz, Cecilia
, Garric, Gilles
, Schroeder, David
, Tietsche, Steffen
, Notz, Dirk
, Turner, Adrian
, Massonnet, François
, Vancoppenolle, Martin
in
Data assimilation
/ Data collection
/ Deformation
/ Drift estimation
/ Earth Sciences
/ Forecasting
/ Glaciology
/ Ice
/ Ice cover
/ Ice models
/ Ice thickness
/ Localization
/ Meeting Summary
/ Ocean circulation
/ Oceanography
/ Rheology
/ SAR (radar)
/ Sciences of the Universe
/ Sea ice
/ Sea ice concentrations
/ Sea ice deformation
/ Sea ice models
/ Sea ice properties
/ Sea ice thickness
/ Synthetic aperture radar
/ Thickness
/ Velocity
2020
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Journal Article
The Future of Sea Ice Modeling
2020
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Overview
To describe the evolution of sea ice at scales of ∼100 km over days to months, the AIDJEX group proposed a framework based on an isotropic, plastic continuum approach (Coon et al. 1974), whose validity relies upon statistical averages taken over a large number of floes (Gray and Morland 1994; Feltham 2008). Many studies demonstrate the ability of the continuum (E)VP models to reasonably simulate key properties of the sea ice: the large-scale distribution of sea ice thickness, concentration and circulation (e.g., Kreyscher et al. 2000); relationships between sea ice concentration, thickness and velocity (Docquier et al. 2017); long-term trends in winter sea ice velocity (Tandon et al. 2018). Early evaluations with synthetic aperture radar estimates of drift and deformation (Kwok and Cunningham 2002) challenged continuum sea ice models’ representation of spatiotemporal deformation, particularly in terms of localization and intermittency (Girard et al. 2009; Kwok et al. 2008). Current approaches to model initialization and data assimilation also need to be rethought. [...]a considerable amount of time and development is needed before DEMs become usable by a large community.
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