Submitted as: development and technical paper
27 Sep 2023
Submitted as: development and technical paper |  | 27 Sep 2023
Status: this preprint is currently under review for the journal GMD.

Great Lakes Waves 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

Abstract. Wind-wave forecasts play a crucial role in the Great Lakes region towards ensuring the safety of communities, enhancement of the economy and protection of property. Modeling wind waves in closed and relatively shallow basins with complex bathymetry like the Great Lakes is a challenge that is successfully tackled by using variable-resolution triangular unstructured meshes. In this paper, we discuss recent advances in developing unstructured-mesh capabilities as part of the spectral wave model WAVEWATCH III, in the context of National Oceanic and Atmospheric Administration (NOAA) operational requirements such as model robustness, efficiency, and accuracy. We revisit the history of developments leading to the transition from rectilinear, to curvilinear grids, and finally to an unstructured mesh version of NOAA's operational Great Lakes wave-modeling system (GLWUv2.0). Our results describe the development of the operational GLWUv2.0, from mesh design and scalability analysis to validation and verification for hindcast of storm cases and reforecast using 4 months of retrospective simulations.

Ali Abdolali et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2023-167', Anonymous Referee #1, 27 Oct 2023
  • RC2: 'Comments on gmd-2023-167', Anonymous Referee #2, 13 Nov 2023

Ali Abdolali et al.

Ali Abdolali et al.


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Short summary
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 winter time (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 GL.