Sea Ice Modelling

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SIA: ESA-CCI Sea Ice age

Sea ice age (SIA) is an indicator of changing sea ice state together with changing climate.

The importance of knowledge of the Arctic sea ice age is twofold. First, it is an indicator of changing sea ice state together with changing climate: the Arctic sea ice has become thinner and younger during the last decades. Second, accurate knowledge of the sea ice age provides accurate classification of sea ice types such as first-year ice (FYI) and multi-year ice (MYI), which is crucial information for sea ice thickness retrieval from altimeters.

Project Details
Funding Agency: 
European Space Agency
Coordinating Institute: 
Nansen Environmental and Remote Sensing Center
Project Status: 
Completed

Young Research Talent grant at the Nansen Center

Dr.

FRASIL: FRActal properties of Sea Ice Leads and their impact on the Arctic physical and biological environments

On simulating leads in the Arctic sea ice using the new Lagrangian model neXtSIM, and on studying their impact on the ocean mixing, heat budget and primary production.

The Arctic has proven very sensitive to increased global temperatures, warming substantially faster than the rest of the globe. This has resulted in thinning and reduction in sea ice cover leading to a new dynamical regime in which sea ice fracturing and ridging are more frequent. The fractal properties of the ice cover and its extreme variability strongly influence the atmosphere-ocean interactions and the dynamics of the Arctic marine ecosystems.

Project Details
Coordinating Institute: 
Nansen Environmental and Remote Sensing Center
Project Status: 
Completed

SWARP User Workshop 28th - 29th Sept.

NERSC is hosting a two-days training workshop in the framework of the European SWARP project, on waves and ice forecasting in the Marginal Ice Zone.

https://swarp.nersc.no

Deadline for registration: Friday 16th Sept.

The workshop is free and open to current and future users of operational sea ice and wave forecast services with a particular interest in navigation close to the ice edge or into the Marginal Ice Zone.

DASIM: Data Assimilation for a new generation of Sea Ice Models

DASIM II follows the 1-year pilot project DASIM I and will explore the mathematical issues for assimilating data in modern sea-ice models

DASIM comes as the natural fusion between the recent achievements in Lagrangian Data Assimilation (LaDA) and sea-ice modelling. Most existing models treat the sea-ice as a visco-plastic and are unable to describe important features such as cracks, leads, and ridges. Only recently has sea-ice motion been described with Lagrangian dynamics.

Project Details
Funding Agency: 
Office of Naval Research
Coordinating Institute: 
Nansen Environmental and Remote Sensing Center
Project Status: 
Completed

Workshop on Computational Meshes and Applications on May 23.

Bergen University College and Nansen Environmental and Remote Sensing Center are jointly organizing a “Workshop on Computational Meshes and Applications” at HiB on 23. May.

The goal of the workshop is to gather scientists from the Bergen area working both on mathematical foundations of mesh generation and also with various applications of computational meshes in real-life applications.

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