Preprints
https://doi.org/10.5194/os-2021-112
https://doi.org/10.5194/os-2021-112
 
02 Dec 2021
02 Dec 2021
Status: a revised version of this preprint was accepted for the journal OS and is expected to appear here in due course.

Parameter Estimation to Improve Coastal Accuracy in a Global Tide Model

Xiaohui Wang1, Martin Verlaan1,2, Jelmer Veenstra2, and Hai Xiang Lin1 Xiaohui Wang et al.
  • 1Delft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands
  • 2Deltares, Delft, The Netherlands

Abstract. Global tide and surge models play a major role in forecasting coastal flooding due to extreme events or climate change. The model performance is strongly affected by parameters such as bathymetry and bottom friction. In this study, we propose a method that estimates bathymetry globally and the bottom friction coefficient in the shallow waters for a Global Tide and Surge Model (GTSMv4.1). However, the estimation effect is limited by the scarcity of available tide gauges. We propose to complement sparse tide gauges with tide time-series generated using FES2014. The FES2014 dataset outperforms GTSM in most areas and is used as observations for the deep ocean and some coastal areas, such as Hudson Bay/Labrador, where tide gauges are scarce but energy dissipation is large. The experiment is performed with a computation and memory efficient iterative parameter estimation scheme applied to Global Tide and Surge Model (GTSMv4.1). Estimation results show that model performance is significantly improved for deep ocean and shallow waters, especially in the European Shelf directly using the CMEMS tide gauge data in the estimation. GTSM is also validated by comparing to tide gauges from UHSLC, CMEMS, and some Arctic stations in the year 2014.

Xiaohui Wang et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on os-2021-112', Anonymous Referee #1, 02 Jan 2022
    • AC1: 'Reply on RC1', xiaohui wang, 05 Apr 2022
  • RC2: 'Comment on os-2021-112', William Pringle, 03 Feb 2022
    • AC2: 'Reply on RC2', xiaohui wang, 05 Apr 2022
  • EC1: 'Comment on os-2021-112', Joanne Williams, 04 Feb 2022
    • AC3: 'Reply on EC1', xiaohui wang, 05 Apr 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on os-2021-112', Anonymous Referee #1, 02 Jan 2022
    • AC1: 'Reply on RC1', xiaohui wang, 05 Apr 2022
  • RC2: 'Comment on os-2021-112', William Pringle, 03 Feb 2022
    • AC2: 'Reply on RC2', xiaohui wang, 05 Apr 2022
  • EC1: 'Comment on os-2021-112', Joanne Williams, 04 Feb 2022
    • AC3: 'Reply on EC1', xiaohui wang, 05 Apr 2022

Xiaohui Wang et al.

Xiaohui Wang et al.

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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 to use observations from altimetry tidal products like FES2014 that have higher accuracy than our model to offset the data lacking. Model accuracy is greatly improved, especially in the European Shelf.