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Title: Global seamless tidal simulation using a 3D unstructured-grid model (SCHISM v5.10.0)

Abstract

We present a new 3D unstructured-grid global ocean model to study both tidal and nontidal processes, with a focus on the total water elevation. Unlike existing global ocean models, the new model resolves estuaries and rivers down to ~8 m without the need for grid nesting. The model is validated with both satellite and in situ observations for elevation, temperature, and salinity. Tidal elevation solutions have a mean complex root-mean-square error (RMSE) of 4.2 cm for M2 and 5.4 cm for all five major constituents in the deep ocean. The RMSEs for the other four constituents, S2, N2, K1, and O1, are, respectively, 2.05, 0.93, 2.08, and 1.34 cm). The nontidal residual assessed by a tide gauge dataset (GESLA) has a mean RMSE of 7 cm. For the first time ever, we demonstrate the potential for seamless simulation on a single mesh from the global ocean into several estuaries along the US West Coast. The model is able to accurately capture the total elevation, even at some upstream stations. The model can therefore potentially serve as the backbone of a global tide surge and compound flooding forecasting framework.

Authors:
 [1];  [2]; ORCiD logo [3];  [1];  [1];  [4]
  1. College of William and Mary, Gloucester Point, VA (United States)
  2. University of Cadiz INMAR, Puerto Real (Spain)
  3. Argonne National Laboratory (ANL), Argonne, IL (United States)
  4. National Oceanic and Atmospheric Administration (NOAA), Silver Spring, MD (United States). Coastal Survey Development Laboratory
Publication Date:
Research Org.:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE; National Oceanic and Atmospheric Administration (NOAA); National Science Foundation (NSF)
OSTI Identifier:
2329393
Grant/Contract Number:  
AC02-06CH11357; NA20NOS4200205; OCI-1053575
Resource Type:
Accepted Manuscript
Journal Name:
Geoscientific Model Development (Online)
Additional Journal Information:
Journal Name: Geoscientific Model Development (Online); Journal Volume: 16; Journal Issue: 9; Journal ID: ISSN 1991-9603
Publisher:
Copernicus Publications, EGU
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Zhang, Y. Joseph, Fernandez-Montblanc, Tomas, Pringle, William, Yu, Hao-Cheng, Cui, Linlin, and Moghimi, Saeed. Global seamless tidal simulation using a 3D unstructured-grid model (SCHISM v5.10.0). United States: N. p., 2023. Web. doi:10.5194/gmd-16-2565-2023.
Zhang, Y. Joseph, Fernandez-Montblanc, Tomas, Pringle, William, Yu, Hao-Cheng, Cui, Linlin, & Moghimi, Saeed. Global seamless tidal simulation using a 3D unstructured-grid model (SCHISM v5.10.0). United States. https://doi.org/10.5194/gmd-16-2565-2023
Zhang, Y. Joseph, Fernandez-Montblanc, Tomas, Pringle, William, Yu, Hao-Cheng, Cui, Linlin, and Moghimi, Saeed. Thu . "Global seamless tidal simulation using a 3D unstructured-grid model (SCHISM v5.10.0)". United States. https://doi.org/10.5194/gmd-16-2565-2023. https://www.osti.gov/servlets/purl/2329393.
@article{osti_2329393,
title = {Global seamless tidal simulation using a 3D unstructured-grid model (SCHISM v5.10.0)},
author = {Zhang, Y. Joseph and Fernandez-Montblanc, Tomas and Pringle, William and Yu, Hao-Cheng and Cui, Linlin and Moghimi, Saeed},
abstractNote = {We present a new 3D unstructured-grid global ocean model to study both tidal and nontidal processes, with a focus on the total water elevation. Unlike existing global ocean models, the new model resolves estuaries and rivers down to ~8 m without the need for grid nesting. The model is validated with both satellite and in situ observations for elevation, temperature, and salinity. Tidal elevation solutions have a mean complex root-mean-square error (RMSE) of 4.2 cm for M2 and 5.4 cm for all five major constituents in the deep ocean. The RMSEs for the other four constituents, S2, N2, K1, and O1, are, respectively, 2.05, 0.93, 2.08, and 1.34 cm). The nontidal residual assessed by a tide gauge dataset (GESLA) has a mean RMSE of 7 cm. For the first time ever, we demonstrate the potential for seamless simulation on a single mesh from the global ocean into several estuaries along the US West Coast. The model is able to accurately capture the total elevation, even at some upstream stations. The model can therefore potentially serve as the backbone of a global tide surge and compound flooding forecasting framework.},
doi = {10.5194/gmd-16-2565-2023},
journal = {Geoscientific Model Development (Online)},
number = 9,
volume = 16,
place = {United States},
year = {Thu May 11 00:00:00 EDT 2023},
month = {Thu May 11 00:00:00 EDT 2023}
}

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