An ice-free Arctic? Opportunities for computational science

The authors discuss modeling's role in understanding the ice-ocean system, as well as its importance in predicting the future state of Arctic sea ice. In doing so, this article presents results from a hierarchy of models of different complexity, their strengths and weaknesses, and how they coul...

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Bibliographic Details
Published in:Computing in Science & Engineering
Other Authors: Tremblay, L. (author), Holland, Marika (author), Gorodetskaya, Irina (author), Schmidt, Gavin (author)
Format: Article in Journal/Newspaper
Language:English
Published: Institute of Electrical and Electronics Engineers 2007
Subjects:
Geophysics computing
Sea ice
Oceanography
Arctic
Online Access:http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-004-326
https://doi.org/10.1109/MCSE.2007.45
Description
Summary:The authors discuss modeling's role in understanding the ice-ocean system, as well as its importance in predicting the future state of Arctic sea ice. In doing so, this article presents results from a hierarchy of models of different complexity, their strengths and weaknesses, and how they could help forecast the future state of the ice-ocean system.

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