Articles | Volume 19, issue 2
https://doi.org/10.5194/os-19-305-2023
© 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/os-19-305-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Mar 2023
Research article |
| 17 Mar 2023
| 17 Mar 2023
Effects of including the adjoint sea ice rheology on estimating Arctic Ocean–sea ice state
Shanghai Key Laboratory of Polar Life and Environment Sciences, School
of Oceanography, Shanghai Jiao Tong University, Shanghai, China
Armin Koehl
Center for Earth System Research and Sustainability (CEN), University
of Hamburg, Hamburg, Germany
Xinrong Wu
Key Laboratory of Marine Environmental Information Technology,
National Marine Data and Information Service, Tianjin, China
Meng Zhou
Shanghai Key Laboratory of Polar Life and Environment Sciences, School
of Oceanography, Shanghai Jiao Tong University, Shanghai, China
MNR Key Laboratory for Polar Science, Polar Research Institute of
China, Shanghai, China
Detlef Stammer
Center for Earth System Research and Sustainability (CEN), University
of Hamburg, Hamburg, Germany
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Short summary
Data assimilation techniques are important for combining observations with numerical models. Here, we approximate the adjoint of viscous-plastic dynamics (adjoint-VP) to replace the adjoint of free-drift dynamics (adjoint-FD) for developing an advanced Arctic Ocean and sea ice modeling and adjoint-based assimilation system. We find that adjoint-VP provides a better ocean and sea ice estimation than adjoint-FD, considering the residual errors and adjustments of the atmospheric states.
Data assimilation techniques are important for combining observations with numerical models....
