Preprints
https://doi.org/10.5194/egusphere-2025-2168
https://doi.org/10.5194/egusphere-2025-2168
22 Jul 2025
 | 22 Jul 2025
Status: this preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).

Developing a Coastal Hazard Prediction System in Ice-Infested Waters, Part 1: High-Resolution Regional Wave Modeling in The Estuary and Gulf of St. Lawrence

Jeremy Baudry, Dany Dumont, David Didier, Pascal Bernatchez, and Sebastien Dugas

Abstract. This study is the first of a two-part paper that summarizes the development of a prototype coastal hazard prediction system providing short-term (+48 h) forecasts of the total water level (TWL) at 50 m resolution for the province of Quebec, Eastern Canada. In this first part, the implementation of the offshore wave model component of the system, which is a regional 1 km-resolution WAVEWATCH III™(WW3) configuration for the Estuary and Gulf of St. Lawrence (EGSL), is presented and discussed. The configuration is forced by high resolution atmosphere, ocean and sea ice forecasts provided by Environment and Climate Change Canada (ECCC) and includes a state-of-the-art parameterization of wave propagation and attenuation in sea ice that has been tuned with observations from the EGSL. Performances are assessed against wave data collected over a two-year period during which the forecasting system was running operationally, and against historical storm data using a model hindcast. Results demonstrate reasonable forecast skills both for normal and extreme wave conditions during ice-free periods with errors ranging from 15 % to 31 % of the mean wave height. However, when sea ice is present, performances are drastically reduced, primarily due to inaccuracies in the predicted ice fields at spatial scales over which wave energy typically dissipates in sea ice.

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Jeremy Baudry, Dany Dumont, David Didier, Pascal Bernatchez, and Sebastien Dugas

Status: open (until 01 Oct 2025)

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Jeremy Baudry, Dany Dumont, David Didier, Pascal Bernatchez, and Sebastien Dugas
Jeremy Baudry, Dany Dumont, David Didier, Pascal Bernatchez, and Sebastien Dugas

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Short summary
This two-part study explores the development of a short-term (up to 48 hours) coastal flood forecasting system along the Quebec coastline. The first part of the study focuses on wave prediction, a main contributor to coastal hazards. The key results of the study show that wave conditions can be accurately predicted during summer, however, the performances of the model in winter are considerably reduced, primarily because predicting sea ice conditions at fine spatial scales remains challenging.
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