GDPS - Global Deterministic Prediction System
|Update frequency:||every 12 hours|
|Resolution:||0.15°, 9.0nm, 16.7km|
|Model duration:||37 forecasts starting at 0 hr, ending at 10 days|
|Parameters:||pressure, wind, rain, cloud, temperature, vorticity, 250 mb, 500 mb|
|GRIB model date:||Mon Dec 11 00:00:00 2023 UTC|
|Download date:||Mon Dec 11 05:09:23 2023 UTC|
|Download delay:||5hr 09min|
Note: the Download delay is the amount of time required for the GRIB model to compute its forecast and then for the LuckGrib cluster to download the data and make it available. The LuckGrib delay is generally less than 10 minutes, the remainder of the delay is the model compute time.
The Meteorological Service of Canada makes this GRIB2 format database available to private sector meteorologists, academics, and the general public. It contains data from analysis systems along with output from many of the Canadian Meteorological Centre’s Numerical Weather Prediction (NWP) models. The data is free, under standard terms and conditions.
The Environment Canada Global Deterministic Prediction System is a global model and provides a good comparison to the GFS model.
Generally, when two or more weather models are in agreement, you can feel more assured that their forecasts are reliable. When weather models disagree, there may be instability in the weather system and the results may be less reliable.
Some sites call this model the GEM model, some call it GDPS. Both names refer to the same model.
… The GEM’s operational model, known as the global deterministic prediction system (GDPS), is currently operational for the global data assimilation cycle and medium-range forecasting …
For more information on the model, see the official site.