Global seamless tidal simulation using a 3D unstructured-grid model (SCHISM v5.10.0)
[3];
- College of William and Mary, Gloucester Point, VA (United States)
- University of Cadiz INMAR, Puerto Real (Spain)
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- National Oceanic and Atmospheric Administration (NOAA), Silver Spring, MD (United States). Coastal Survey Development Laboratory
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.
- Research Organization:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Organization:
- USDOE; National Oceanic and Atmospheric Administration (NOAA); National Science Foundation (NSF)
- Grant/Contract Number:
- AC02-06CH11357; NA20NOS4200205; OCI-1053575
- OSTI ID:
- 2329393
- Journal Information:
- Geoscientific Model Development (Online), Vol. 16, Issue 9; ISSN 1991-9603
- Publisher:
- Copernicus Publications, EGUCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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