Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 4
Articles | Volume 17, issue 4
https://doi.org/10.5194/essd-17-1693-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-1693-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 4
Data description paper
 | 
25 Apr 2025
Data description paper |  | 25 Apr 2025

Gap-filled sub-surface mooring dataset off Western Australia during 2010–2023

Toan Bui, Ming Feng, and Christopher C. Chapman

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Latest update: 16 May 2025
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Short summary
Moored time series data are crucial for detecting changes in the ocean. However, mooring losses or instrument failures often result in data gaps. A gap-filled time series dataset of a shelf mooring array off the Western Australian coast is created using a machine learning tool to fill the data gaps. The gap-filled data show consistency with observations and can be used to characterize marine heat waves and cold spells influenced by ocean boundary currents.
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