Articles | Volume 18, issue 6
https://doi.org/10.5194/essd-18-4303-2026
https://doi.org/10.5194/essd-18-4303-2026
Data description article
 | 
24 Jun 2026
Data description article |  | 24 Jun 2026

A 30-year ocean front dataset from 1993 to 2023 for the Northwest Pacific Ocean based on deep learning

Yuan Niu, Xuefeng Zhang, and Dianjun Zhang

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Cited articles

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Belkin, I. M. and O'Reilly, J. E.: An algorithm for oceanic front detection in chlorophyll and SST satellite imagery, J. Marine Syst., 78, 319–326, https://doi.org/10.1016/j.jmarsys.2008.11.018, 2009. 
Belkin, I. M., Cornillon, P. C., and Sherman, K.: Fronts in Large Marine Ecosystems, Prog. Oceanogr., 81, 223–236, https://doi.org/10.1016/j.pocean.2009.04.015, 2009. 
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Chen, C.: Chemical and physical fronts in the Bohai, Yellow and East China seas, J. Marine Syst., 78, 394–410, https://doi.org/10.1016/j.jmarsys.2008.11.016, 2009. 
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We develop and release the first publicly available 30-year front dataset (1993–2023) for the Northwest Pacific, generated using a deep learning framework (Mask R-CNN). The dataset provides pixel-level frontal boundaries with associated attributes, including position, intensity and width, stored in NetCDF-4 format at 1/12° spatial and daily temporal resolution.
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