Global seamless tidal simulation using a 3D unstructured-grid model (SCHISM v5.10.0)
<p>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 <span class="inline-formula">∼8</span&g...
| 出版年: | Geoscientific Model Development |
|---|---|
| 主要な著者: | , , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Copernicus Publications
2023-05-01
|
| オンライン・アクセス: | https://gmd.copernicus.org/articles/16/2565/2023/gmd-16-2565-2023.pdf |
| _version_ | 1851932867737681920 |
|---|---|
| author | Y. J. Zhang T. Fernandez-Montblanc W. Pringle H.-C. Yu L. Cui S. Moghimi |
| author_facet | Y. J. Zhang T. Fernandez-Montblanc W. Pringle H.-C. Yu L. Cui S. Moghimi |
| author_sort | Y. J. Zhang |
| collection | DOAJ |
| container_title | Geoscientific Model Development |
| description | <p>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 <span class="inline-formula">∼8</span> 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.</p> |
| format | Article |
| id | doaj-art-e44862e3f37448d38e433cf92ca4eaf4 |
| institution | Directory of Open Access Journals |
| issn | 1991-959X 1991-9603 |
| language | English |
| publishDate | 2023-05-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| spelling | doaj-art-e44862e3f37448d38e433cf92ca4eaf42025-08-19T21:53:37ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032023-05-01162565258110.5194/gmd-16-2565-2023Global seamless tidal simulation using a 3D unstructured-grid model (SCHISM v5.10.0)Y. J. Zhang0T. Fernandez-Montblanc1W. Pringle2H.-C. Yu3L. Cui4S. Moghimi5Center for Coastal Resource Management, Virginia Institute of Marine Science, College of William & Mary, Gloucester Point, VA 23062, USAEarth Sciences Department, University of Cadiz INMAR, Puerto Real, 11519, SpainEnvironmental Science Division, Argonne National Laboratory, Lemont, IL 60439, USACenter for Coastal Resource Management, Virginia Institute of Marine Science, College of William & Mary, Gloucester Point, VA 23062, USACenter for Coastal Resource Management, Virginia Institute of Marine Science, College of William & Mary, Gloucester Point, VA 23062, USACoastal Survey Development Lab, NOAA National Ocean Service, Silver Spring, MD 20910, USA<p>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 <span class="inline-formula">∼8</span> 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.</p>https://gmd.copernicus.org/articles/16/2565/2023/gmd-16-2565-2023.pdf |
| spellingShingle | Y. J. Zhang T. Fernandez-Montblanc W. Pringle H.-C. Yu L. Cui S. Moghimi Global seamless tidal simulation using a 3D unstructured-grid model (SCHISM v5.10.0) |
| title | Global seamless tidal simulation using a 3D unstructured-grid model (SCHISM v5.10.0) |
| title_full | Global seamless tidal simulation using a 3D unstructured-grid model (SCHISM v5.10.0) |
| title_fullStr | Global seamless tidal simulation using a 3D unstructured-grid model (SCHISM v5.10.0) |
| title_full_unstemmed | Global seamless tidal simulation using a 3D unstructured-grid model (SCHISM v5.10.0) |
| title_short | Global seamless tidal simulation using a 3D unstructured-grid model (SCHISM v5.10.0) |
| title_sort | global seamless tidal simulation using a 3d unstructured grid model schism v5 10 0 |
| url | https://gmd.copernicus.org/articles/16/2565/2023/gmd-16-2565-2023.pdf |
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