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 barotropic version of the NEMO ocean model (Wang et al. 2021). 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 and sea level pressure from the Global Deterministic Prediction System (GDPS).
During the post-processing phase, storm surge elevation is derived from total water level by harmonic analysis using t_tide (Pawlowicz et al. 2002).
How to access the data
This data is available on the MSC Datamart data server service:
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.
The chronology of changes to the Global Deterministic Storm Surge Prediction System (GDSPS) is available here.