Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
Viewed
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 12,751 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
12,707
0
44
12,751
0
0
HTML: 12,707
PDF: 0
XML: 44
Total: 12,751
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 08 Apr 2025)
Cumulative views and downloads
(calculated since 08 Apr 2025)
Total article views: 12,751 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
12,707
0
44
12,751
0
0
HTML: 12,707
PDF: 0
XML: 44
Total: 12,751
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 08 Apr 2025)
Cumulative views and downloads
(calculated since 08 Apr 2025)
Viewed (geographical distribution)
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 12,751 (including HTML, PDF, and XML)
Thereof 12,751 with geography defined
and 0 with unknown origin.
Total article views: 12,751 (including HTML, PDF, and XML)
Thereof 12,751 with geography defined
and 0 with unknown origin.
Climate simulations help us understand the Earth system and its evolution. The models used to perform these simulations are highly complex, require significant programming expertise to build and consume a lot of energy. A key component of climate models is their sea ice components. In this work, we present a sea ice model that offers an easier development process while maintaining strong performance. The model is able to run on a computer's graphics card, which greatly reduces its energy usage.
Climate simulations help us understand the Earth system and its evolution. The models used to...