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On the Assimilation of Ice Velocity and Concentration Data Into Large-scale Sea Ice Models : Volume 3, Issue 2 (08/06/2007)

By Dulière, V.

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Book Id: WPLBN0004020329
Format Type: PDF Article :
File Size: Pages 15
Reproduction Date: 2015

Title: On the Assimilation of Ice Velocity and Concentration Data Into Large-scale Sea Ice Models : Volume 3, Issue 2 (08/06/2007)  
Author: Dulière, V.
Volume: Vol. 3, Issue 2
Language: English
Subject: Science, Ocean, Science
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2007
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Fichefet, T., & Dulière, V. (2007). On the Assimilation of Ice Velocity and Concentration Data Into Large-scale Sea Ice Models : Volume 3, Issue 2 (08/06/2007). Retrieved from http://worldlibrary.net/


Description
Description: Université Catholique de Louvain, Institut d'Astronomie et de Géophysique Georges LemaÎtre, Louvain-la-Neuve, Belgium. Data assimilation into sea ice models designed for climate studies has started about 15 years ago. In most of the studies conducted so far, it is assumed that the improvement brought by the assimilation is straightforward. However, some studies suggest this might not be true. In order to elucidate this question and to find an appropriate way to further assimilate sea ice concentration and velocity observations into a global sea ice-ocean model, we analyze here results from a number of twin experiments (i.e. experiments in which the assimilated data are model outputs) carried out with a simplified model of the Arctic sea ice pack. Our objective is to determine to what degree the assimilation of ice velocity and/or concentration data improves the global performance of the model and, more specifically, reduces the error in the computed ice thickness. A simple optimal interpolation scheme is used, and outputs from a control run and from perturbed experiments without and with data assimilation are thoroughly compared. Our results indicate that, under certain conditions depending on the assimilation weights and the type of model error, the assimilation of ice velocity data enhances the model performance. The assimilation of ice concentration data can also help in improving the model behavior, but it has to be handled with care because of the strong connection between ice concentration and ice thickness. This study is first step towards real data assimilation into NEMO-LIM, a global sea ice-ocean model.

Summary
On the assimilation of ice velocity and concentration data into large-scale sea ice models

Excerpt
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