Articles | Volume 18, issue 10
https://doi.org/10.5194/essd-18-7839-2026
https://doi.org/10.5194/essd-18-7839-2026
Data description article
 | 
29 Oct 2026
Data description article |  | 29 Oct 2026

Ise Bay Reanalysis (IBRA): a 12-year ecological hydrodynamic reanalysis dataset for Ise Bay, Japan

Yoshitaka Matsuzaki, Hayato Mizuguchi, and Tetsunori Inoue

Cited articles

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Evensen, G.: The Ensemble Kalman Filter: Theoretical formulation and practical implementation, Ocean Dynam., 53, 343–367, https://doi.org/10.1007/s10236-003-0036-9, 2003. 
Evensen, G.: Data assimilation: The Ensemble Kalman Filter, 2nd edn., Springer, Dordrecht, 307 pp., https://doi.org/10.1007/978-3-642-03711-5, 2009. 
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Short summary
We developed a 12-year dataset describing water movement and water quality in Ise Bay, Japan. Low oxygen levels in coastal waters can harm marine ecosystems, but observations alone cannot fully capture when and where these conditions occur. To address this problem, we combined simulations with measurements collected at monitoring stations. The resulting dataset reproduces seasonal changes and oxygen depletion in the bay and can support scientific research and environmental assessment.
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