Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 21
Articles | Volume 17, issue 21
https://doi.org/10.5194/gmd-17-7751-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-7751-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 21
Model experiment description paper
 | 
06 Nov 2024
Model experiment description paper |  | 06 Nov 2024

Development and performance of a high-resolution surface wave and storm surge forecast model: application to a large lake

Laura L. Swatridge, Ryan P. Mulligan, Leon Boegman, and Shiliang Shan

Viewed

Total article views: 2,274 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,552 595 127 2,274 138 86 145
  • HTML: 1,552
  • PDF: 595
  • XML: 127
  • Total: 2,274
  • Supplement: 138
  • BibTeX: 86
  • EndNote: 145
Views and downloads (calculated since 25 Oct 2023)
Cumulative views and downloads (calculated since 25 Oct 2023)

Viewed (geographical distribution)

Total article views: 2,274 (including HTML, PDF, and XML) Thereof 2,256 with geography defined and 18 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 04 Dec 2025
Download
Short summary
We develop an operational forecast system, Coastlines-LO, that can simulate water levels and surface waves in Lake Ontario driven by forecasts of wind speeds and pressure fields from an atmospheric model. The model has relatively low computational requirements, and results compare well with near-real-time observations, as well as with results from other existing forecast systems. Results show that with shorter forecast lengths, storm surge and wave predictions can improve in accuracy.
Read more
Share