Global Deterministic Storm Surge Prediction System
The Global Deterministic storm Surge Prediction System (GDSPS) produces water level forecasts using a modified version of the NEMO ocean model (Wang et al. 2021, 2022, 2023). It provides 240 hours forecasts twice per day on a 1/12° resolution grid (3-9 km). The model is forced by the 10 meters winds, sea level pressure, ice concentration, ice velocity and surface currents from the Global Deterministic Prediction System (GDPS). The three dimensionnal ocean temperature and salinity fields of the model are nudged to values provided by the Global Ice-Ocean Prediction System (GIOPS) and the GDPS. During the post-processing phase, storm surge elevation (ETAS) is derived from total water level (SSH) by harmonic analysis using t_tide (Foreman et al. 2009).
- Publisher - Current Organization Name: Environment and Climate Change Canada
- Licence: Open Government Licence - Canada
Data and Resources
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MSC DatamartNetCDFEnglish dataset NetCDF
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MSC DatamartNetCDFFrench dataset NetCDF
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MSC Datamart AMQPNetCDFEnglish dataset NetCDF
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MSC Datamart AMQPNetCDFFrench dataset NetCDF
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MSC Open Data documentationHTMLEnglish guide HTML
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MSC Open Data documentationHTMLFrench guide HTML
Contact Information
Delivery Point: 77 Westmorland Street, suite 260
City: Fredericton
Administrative Area: New Brunswick
Postal Code: E3B 6Z4
Country: Canada
Electronic Mail Address: ECWeather-Meteo@ec.gc.ca