Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 32, issue 3
Articles | Volume 32, issue 3
https://doi.org/10.5194/npg-32-329-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/npg-32-329-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 32, issue 3
Research article
 | 
11 Sep 2025
Research article |  | 11 Sep 2025

Simulation and data assimilation in an idealized coupled atmosphere–ocean–sea ice floe model with cloud effects

Changhong Mou, Samuel N. Stechmann, and Nan Chen

Viewed

Total article views: 642 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
535 71 36 642 38 75
  • HTML: 535
  • PDF: 71
  • XML: 36
  • Total: 642
  • BibTeX: 38
  • EndNote: 75
Views and downloads (calculated since 21 Nov 2024)
Cumulative views and downloads (calculated since 21 Nov 2024)

Viewed (geographical distribution)

Total article views: 642 (including HTML, PDF, and XML) Thereof 629 with geography defined and 13 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Sep 2025
Download
Short summary
Sea ice is crucial in the climate system, especially in the Marginal Ice Zone (MIZ). As the MIZ expands, understanding its dynamics is essential for predicting climate impacts. This paper addresses the largely overlooked role of clouds, developing an idealized atmosphere–ocean–ice model with cloud effects, tackling both simulation and data assimilation. The results imply the potential of integrating idealized models with data assimilation for understanding Arctic dynamics and predictions.
Read more
Share
Special issue
Turbulence, wave–current interactions, and other nonlinear...