Ocean Science
Ocean Science
OS
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

Data sets

Global Tide – FES2014 AVISO https://www.aviso.altimetry.fr/en/data/products/auxiliary-products/global-tide-fes/description-fes2014.html

Sea level measured by tide gauges from global oceans — the Joint Archive for Sea Level holdings (NCEI Accession 0019568), Version 5.5 P. C. Caldwell, M. A. Merrifield, and P. R. Thompson https://doi.org/10.7289/V5V40S7W

Product User Manual for multiparameter Copernicus In Situ TAC (PUM) Copernicus Marine In Situ Tac Data Management Team https://doi.org/10.13155/43494

GEBCO_2019 Grid GEBCO https://www.gebco.net/data_and_products/gridded_bathymetry_data/gebco_2019/gebco_2019_info.html

Data products EMODnet https://www.emodnet-bathymetry.eu/data-products

Model code and software

OpenDA OpenDA Association https://github.com/OpenDA-Association/OpenDA

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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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