Ocean Science
Ocean Science
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Articles | Volume 17, issue 4
Articles | Volume 17, issue 4
https://doi.org/10.5194/os-17-891-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-17-891-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 4
Research article
 | 
06 Jul 2021
Research article |  | 06 Jul 2021

High-resolution stochastic downscaling method for ocean forecasting models and its application to the Red Sea dynamics

Georgy I. Shapiro, Jose M. Gonzalez-Ondina, and Vladimir N. Belokopytov

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Short summary
This paper presents an efficient method for high-resolution ocean modelling based on a combination of the deterministic and stochastic approaches. The method utilises mathematical tools similar to those developed for data assimilation in ocean modelling. The main difference is that instead of assimilating a relatively small number of observations, the SDD method assimilates all the data produced by a parent model. The method is applied to create an operational Stochastic Model of the Red Sea.
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