Articles | Volume 17, issue 10
https://doi.org/10.5194/tc-17-4487-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-4487-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Oct 2023
Research article |
| 26 Oct 2023
| 26 Oct 2023
Local analytical optimal nudging for assimilating AMSR2 sea ice concentration in a high-resolution pan-Arctic coupled ocean (HYCOM 2.2.98) and sea ice (CICE 5.1.2) model
Division of Ocean and Ice, Norwegian Meteorological Institute, Oslo, Norway
Alfatih Ali
Division of Ocean and Ice, Norwegian Meteorological Institute, Bergen, Norway
Caixin Wang
Division of Ocean and Ice, Norwegian Meteorological Institute, Oslo, Norway
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Short summary
A simple, efficient. and accurate data assimilation method, local analytical optimal nudging (LAON), is introduced to assimilate high-resolution sea ice concentration in a pan-Arctic high-resolution coupled ocean and sea ice model. The method provides a new vision by nudging the model evolution to the optimal estimate forwardly, continuously, and smoothly. This method is applicable to the general nudging theory and applications in physics, Earth science, psychology, and behavior sciences.
A simple, efficient. and accurate data assimilation method, local analytical optimal nudging...
