Articles | Volume 19, issue 8
https://doi.org/10.5194/tc-19-3065-2025
© Author(s) 2025. 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-19-3065-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Aug 2025
Research article |
| 15 Aug 2025
| 15 Aug 2025
Estimation of duration and its changes in Lagrangian observations relying on ice floes in the Arctic Ocean utilizing a sea ice motion product
Fanyi Zhang
Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, China
Key Laboratory for Polar Science of the MNR, Polar Research Institute of China, Shanghai 200136, China
Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, China
Key Laboratory for Polar Science of the MNR, Polar Research Institute of China, Shanghai 200136, China
Key Laboratory for Polar Science of the MNR, Polar Research Institute of China, Shanghai 200136, China
Na Li
Key Laboratory for Polar Science of the MNR, Polar Research Institute of China, Shanghai 200136, China
Ying Chen
Key Laboratory for Polar Science of the MNR, Polar Research Institute of China, Shanghai 200136, China
Xiaoping Pang
CORRESPONDING AUTHOR
Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, China
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Short summary
We reconstructed sea ice drift trajectories and identified optimal deployment areas for Lagrangian observations in the central Arctic Ocean. The trajectories revealed a preference for ice advection towards the Transpolar Drift region over the Beaufort Gyre, with endpoints influenced by large-scale atmospheric circulation patterns. This study provides critical support for the planning and implementation of Lagrangian observations relying on ice floes in the central Arctic Ocean under changing environmental conditions.
We reconstructed sea ice drift trajectories and identified optimal deployment areas for...
