Articles | Volume 18, issue 3
https://doi.org/10.5194/os-18-881-2022
https://doi.org/10.5194/os-18-881-2022
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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