Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 3
Articles | Volume 17, issue 3
https://doi.org/10.5194/gmd-17-1023-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-1023-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 3
Development and technical paper
 | 
07 Feb 2024
Development and technical paper |  | 07 Feb 2024

Great Lakes wave forecast system on high-resolution unstructured meshes

Ali Abdolali, Saeideh Banihashemi, Jose Henrique Alves, Aron Roland, Tyler J. Hesser, Mary Anderson Bryant, and Jane McKee Smith

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This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
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Cited articles

Abdolali, A.: Great Lakes Wave Unstructured v2.0, Zenodo [code and data], https://doi.org/10.5281/zenodo.8341987, 2023. a
Abdolali, A., Roland, A., van der Westhuysen, A., Meixner, J., Chawla, A., Hesser, T. J., Smith, J. M., and Sikiric, M. D.: Large-scale hurricane modeling using domain decomposition parallelization and implicit scheme implemented in WAVEWATCH III wave model, Coast. Eng., 157, 103656, https://doi.org/10.1016/j.coastaleng.2020.103656, 2020. a, b
Abdolali, A., van der Westhuysen, A., Ma, Z., Mehra, A., Roland, A., and Moghimi, S.: Evaluating the accuracy and uncertainty of atmospheric and wave model hindcasts during severe events using model ensembles, Ocean Dynam., 71, 217–235, https://doi.org/10.1007/s10236-020-01426-9, 2021. a
Alves, J.-H., Tolman, H., Roland, A., Abdolali, A., Ardhuin, F., Mann, G., Chawla, A., and Smith, J.: NOAA’s Great Lakes Wave Prediction System: A Successful Framework for Accelerating the Transition of Innovations to Operations, B. Am. Meteorol. Soc., 104, E837–E850, 2023. a, b, c
Alves, J. H. G. and Chawla, A.: Forecasting Wind-Waves at the North American Great Lakes, Research activities in atmospheric and oceanic modelling. CAS/JSC Working Group on Numerical Experimentation, Report No. 12, 8 (1–3), https://library.wmo.int/idurl/4/39792 (last access: 9 May 2023), 2015. a
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This article presents an overview of the development and implementation of Great Lake Wave Unstructured (GLWUv2.0), including the core model and workflow design and development. The validation was conducted against in situ data for the re-forecasted duration for summer and wintertime (ice season). The article describes the limitations and challenges encountered in the operational environment and the path forward for the next generation of wave forecast systems in enclosed basins like the GL.
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