The Cryosphere
The Cryosphere
TC
Articles | Volume 18, issue 4
Articles | Volume 18, issue 4
https://doi.org/10.5194/tc-18-1597-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-1597-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 4
Research article
 | 
08 Apr 2024
Research article |  | 08 Apr 2024

Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model

Marina Durán Moro, Ann Kristin Sperrevik, Thomas Lavergne, Laurent Bertino, Yvonne Gusdal, Silje Christine Iversen, and Jozef Rusin

Data sets

Arctic Ocean - Sea Ice Concentration Charts - Svalbard and Greenland E.U. Copernicus Marine Service Information (CMEMS) https://doi.org/10.48670/moi-00128

Model and satellite data from the SIRANO Data Assimilation experiments Marina Durán Moro https://thredds.met.no/thredds/catalog/sirano/catalog.html

Model code and software

metno/metroms: Version 0.4.1 Jens Debernard et al. https://doi.org/10.5281/zenodo.5067164

EnKF-C v.2.9.9 Pavel Sakov https://github.com/sakov/EnKF-C.git

Model and EnKF input files used in the SIRANO Data Assimilation experiments Marina Durán Moro https://doi.org/10.5281/zenodo.8300801

Download
Short summary
Individual satellite passes instead of daily means of sea ice concentration are used to correct the sea ice model forecast in the Barents Sea. The use of passes provides a significantly larger improvement of the forecasts even after a 7 d period due to the more precise information on temporal and spatial variability contained in the passes. One major advantage of the use of satellite passes is that there is no need to wait for the daily mean availability in order to update the forecast.
Read more