Sea Ice Modelling

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Young Research Talent grant at the Nansen Center

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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
Funding Agency: 
Research Council of Norway
Coordinating Institute: 
Nansen Environmental and Remote Sensing Center
Project Status: 
Ongoing

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.

KARA3: neXtSIM-F, a new sea-ice forecasting platform for the Barents and Kara Seas

Increase and further evaluate the forecast quality of the current neXtSIM-F forecasting platform, and improve the dissemination of the results to end-users.

The main focus of the project will be on improving the forecast initialization. The reason is that the forecast quality of the neXtSIM-F forecasting platform (which is running operationally as of October 2015) is based on the quality of the three core components. These components are:

  1. Model: The sea-ice model itself, which is named neXtSIM

  2. Forcing: Atmospheric and oceanic forcing data taken from ECMWF and TOPAZ

Project Details
Funding Agency: 
TOTAL Exploration and Production Norge
Coordinating Institute: 
Nansen Environmental and Remote Sensing Center
Project Status: 
Completed

New sea ice forecasts for the Barents and Kara Seas

The Nansen Center is pleased to announce that a new sea ice forecasting platform called neXtSIM-F is now up and running for the Barents and Kara Seas.

Forecasts are generated daily using neXtSIM-F on a 3km Lagrangian grid. neXtSIM-F is based on the sea ice model neXtSIM which is currently being developed at NERSC by the sea ice modelling group.

KARA2: Towards a next generation sea ice forecasting platform covering the Barents and Kara Seas

Development of a new sea ice forecasting platform for the Barents/Kara Seas

The main idea will be to develop a sea ice-only forecasting platform, which would be able to use in real time the ocean forecast provided by the TOPAZ system (or any other ocean model), the winds forecast provided by ECMWF and any available information about the ice cover state coming from another model, in-situ measurements or remote-sensed data from space.

Project Details
Funding Agency: 
TOTAL Exploration and Production Norge
Coordinating Institute: 
Nansen Environmental and Remote Sensing Center
Project Status: 
Completed
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