Ocean Science
Ocean Science
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Articles | Volume 22, issue 5
Articles | Volume 22, issue 5
https://doi.org/10.5194/os-22-2915-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/os-22-2915-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 5
Research article
 | 
25 Sep 2026
Research article |  | 25 Sep 2026

LETKF-based Ocean Research Analysis version 2.0 for a quasi-global domain (LORA-QG): validation and intercomparison with eddy-permitting global ocean reanalysis datasets

Shun Ohishi, Takemasa Miyoshi, and Misako Kachi

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Short summary
We developed an eddy-permitting local ensemble Kalman filter (LETKF)-based Ocean Research Analysis (LORA) version 2.0 for a quasi-global domain (LORA-QG) covering the period from June 2002 onward. Validation shows that LORA-QG achieves accuracy comparable to existing global ocean reanalysis datasets. LORA-QG includes ensemble-based uncertainty estimates and individual terms of the heat and salinity budget equations, making it a valuable resource for ocean forecasting and process-based studies.
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Evaluation of ocean reanalyses to meet users’ needs
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