Articles | Volume 17, issue 21
https://doi.org/10.5194/gmd-17-7751-2024
https://doi.org/10.5194/gmd-17-7751-2024
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

Related authors

Computation of Self-recruitment in Fish Larvae using Forward- and Backward-in-Time Particle Tracking in a Lagrangian Model (SWIM-v2.0) of the Simulated Circulation of Lake Erie (AEM3D-v1.1.2)
Wei Shi, Leon Boegman, Josef Ackerman, Shiliang Shan, and Yingming Zhao
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-215,https://doi.org/10.5194/gmd-2024-215, 2025
Preprint under review for GMD
Short summary
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
Geosci. Model Dev., 15, 1331–1353, https://doi.org/10.5194/gmd-15-1331-2022,https://doi.org/10.5194/gmd-15-1331-2022, 2022
Short summary
An efficient two-layer landslide-tsunami numerical model: effects of momentum transfer validated with physical experiments of waves generated by granular landslides
Martin Franz, Michel Jaboyedoff, Ryan P. Mulligan, Yury Podladchikov, and W. Andy Take
Nat. Hazards Earth Syst. Sci., 21, 1229–1245, https://doi.org/10.5194/nhess-21-1229-2021,https://doi.org/10.5194/nhess-21-1229-2021, 2021
Short summary

Related subject area

Hydrology
DECIPHeR-GW v1: a coupled hydrological model with improved representation of surface–groundwater interactions
Yanchen Zheng, Gemma Coxon, Mostaquimur Rahman, Ross Woods, Saskia Salwey, Youtong Rong, and Doris E. Wendt
Geosci. Model Dev., 18, 4247–4271, https://doi.org/10.5194/gmd-18-4247-2025,https://doi.org/10.5194/gmd-18-4247-2025, 2025
Short summary
Wastewater matters: incorporating wastewater treatment and reuse into a process-based hydrological model (CWatM v1.08)
Dor Fridman, Mikhail Smilovic, Peter Burek, Sylvia Tramberend, and Taher Kahil
Geosci. Model Dev., 18, 3735–3754, https://doi.org/10.5194/gmd-18-3735-2025,https://doi.org/10.5194/gmd-18-3735-2025, 2025
Short summary
A reach-integrated hydraulic modelling approach for large-scale and real-time inundation mapping
Robert Chlumsky, James R. Craig, and Bryan A. Tolson
Geosci. Model Dev., 18, 3387–3403, https://doi.org/10.5194/gmd-18-3387-2025,https://doi.org/10.5194/gmd-18-3387-2025, 2025
Short summary
Graphical representation of global water models
Hannes Müller Schmied, Simon Newland Gosling, Marlo Garnsworthy, Laura Müller, Camelia-Eliza Telteu, Atiq Kainan Ahmed, Lauren Seaby Andersen, Julien Boulange, Peter Burek, Jinfeng Chang, He Chen, Lukas Gudmundsson, Manolis Grillakis, Luca Guillaumot, Naota Hanasaki, Aristeidis Koutroulis, Rohini Kumar, Guoyong Leng, Junguo Liu, Xingcai Liu, Inga Menke, Vimal Mishra, Yadu Pokhrel, Oldrich Rakovec, Luis Samaniego, Yusuke Satoh, Harsh Lovekumar Shah, Mikhail Smilovic, Tobias Stacke, Edwin Sutanudjaja, Wim Thiery, Athanasios Tsilimigkras, Yoshihide Wada, Niko Wanders, and Tokuta Yokohata
Geosci. Model Dev., 18, 2409–2425, https://doi.org/10.5194/gmd-18-2409-2025,https://doi.org/10.5194/gmd-18-2409-2025, 2025
Short summary
LM4-SHARC v1.0: resolving the catchment-scale soil–hillslope aquifer–river continuum for the GFDL Earth system modeling framework
Minki Hong, Nathaniel Chaney, Sergey Malyshev, Enrico Zorzetto, Anthony Preucil, and Elena Shevliakova
Geosci. Model Dev., 18, 2275–2301, https://doi.org/10.5194/gmd-18-2275-2025,https://doi.org/10.5194/gmd-18-2275-2025, 2025
Short summary

Cited articles

Anderson, E. J., Fujisaki-Manome, A., Kessler, J., Land, G.A., Chu, P.Y., Kelley, J. G. W., Chen, Y., and Wang, J.: Ice Forecasting in the Next-Generation Great Lakes Operational Forecast System (GLOFS), J. Mar. Sci. Eng., 6, 123, https://doi.org/10.3390/jmse6040123, 2018. 
Asher, T. G., Luettich, R. A., Fleming, J. G., and Blandton, B. O.: Low frequency water level correction in storm surge models using data assimilation, Ocean Model., 144, 101483, https://doi.org/10.1016/j.ocemod.2019.101483, 2019. 
Baracchini, T., Wuest, A., and Bouffard, D.: Meteolakes: An operational online three-dimensional forecasting platform for lake hydrodynamics, Water Res., 172.1-12, 115529, https://doi.org/10.1016/j.watres.2020.115529, 2020. 
Bender, M. A., Knutson, T. R., Tuleya, R. E., Sirutis, J. J., Vecchi, G. A., Garner, S. T., and Held, I. M.: Modeled impact of anthropogenic warming on the frequency of intense Atlantic hurricanes, Science, 327, 454–458, https://doi.org/10.1126/science.1180568, 2010. 
Bilskie, M. V., Asher, T. G., Miller, P. W., Fleming, J. G., Hagen, S. C., and Luettich Jr., R. A.: Real-time simulated storm surge predictions during Hurricane Michael (2018), Weather Forecast., 37, 1085–1102, https://doi.org/10.1175/WAF-D-21-0132.1, 2022. 
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.
Share