Published March 31, 2023 | Version v1
Poster Open

Deep learning can correct model errors from the subgrid-scale for sea-ice dynamics

  • 1. CEREA, École des Ponts and EDF R&D, Île-de-France, France
  • 2. Dept. of Meteorology and NCEO, University of Reading, Reading, United Kingdom
  • 3. Dept of Physics and Astronomy "Augusto Righi", University of Bologna, Italy
  • 4. Université Grenoble Alpes, CNRS, Grenoble INP, Laboratoire 3SR, Grenoble, France

Description

Poster contribution to the "11th Sea Ice data assimilation workshop in Oslo". This poster summarizes the work currently under discussion for "The Cryosphere".

 

Notes

This work is a contribution to the project SASIP (grant no. 353), funded by Schmidt Futures – a philanthropic initiative that seeks to improve societal outcomes through the development of emerging science and technologies.

Files

2303_oslo_print.pdf

Files (7.8 MB)

Name Size Download all
md5:0dd3dbaed368fc42e86aaf962f48786c
7.8 MB Preview Download