Data and Products of the Global Deterministic Storm Surge Prediction System (GDSPS)
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).
Access
How to access the data
This data is available on the MSC Datamart data server service:
- Data available via the GeoMet-Weather geospatial web services
- NetCDF data available on the MSC Datamart
An overview and examples to access and use the Meteorological Service of Canada's open data is available.
Licence
The end-user licence for Environment and Climate Change Canada's data servers specifies the conditions of use of this data.
MSC Open Data Service Usage Policy
The MSC Open Data Service Usage Policy determines what constitutes an acceptable use of MSC Open Data services and provides users best practices for optimal use.
Metadata
Technical documentation
- Current version of the Global Deterministic Storm Surge Prediction System
- Technical Note
- Diagram of dependencies
- Factsheet associated with the latest innovation cycle
Changelog
The chronology of changes to the Global Deterministic Storm Surge Prediction System (GDSPS) is available here.