Ocean Science
Ocean Science
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Articles | Volume 18, issue 3
Articles | Volume 18, issue 3
https://doi.org/10.5194/os-18-881-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-18-881-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 3
Research article
 | 
09 Jun 2022
Research article |  | 09 Jun 2022

Data-assimilation-based parameter estimation of bathymetry and bottom friction coefficient to improve coastal accuracy in a global tide model

Xiaohui Wang, Martin Verlaan, Jelmer Veenstra, and Hai Xiang Lin

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Short summary
The accuracy of the Global Tide and Surge Model is significantly affected by some parameters. We correct the bathymetry and bottom friction coefficient with mathematical methods to improve model accuracy. The lack of tide gauge data in many coastal areas affects the correction process. We propose using observations from altimetry tidal products like FES2014 that have higher accuracy than our model to offset the data lack. Model accuracy is greatly improved, especially in the European shelf.
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