Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 3
Articles | Volume 15, issue 3
https://doi.org/10.5194/gmd-15-1331-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-15-1331-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 3
Model description paper
 | 
16 Feb 2022
Model description paper |  | 16 Feb 2022

An automatic lake-model application using near-real-time data forcing: development of an operational forecast workflow (COASTLINES) for Lake Erie

Shuqi Lin, Leon Boegman, Shiliang Shan, and Ryan Mulligan

Viewed

Total article views: 3,133 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,858 1,167 108 3,133 67 126
  • HTML: 1,858
  • PDF: 1,167
  • XML: 108
  • Total: 3,133
  • BibTeX: 67
  • EndNote: 126
Views and downloads (calculated since 29 Mar 2021)
Cumulative views and downloads (calculated since 29 Mar 2021)

Viewed (geographical distribution)

Total article views: 3,133 (including HTML, PDF, and XML) Thereof 2,939 with geography defined and 194 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Nov 2025
Download
Short summary
An operational hydrodynamics forecast system, COASTLINES, using the Windows Task Scheduler, Python, and MATLAB scripts, to automate application of a 3-D model (AEM3D) in Lake Erie was developed. The system predicted storm-surge and up-/downwelling events that are important for flood water and drinking water/fishery management. This example of the successful development of an operational forecast system can be adapted to simulate aquatic systems as required for management and public safety.
Read more
Share
Special issue
Modelling inland waters in a changing climate (GMD/ESD/TC...