Description
The High Resolution Deterministic Prediction System (HRDPS) provides useful numerical simulations of temperature over large areas. Climate Engine is ingesting only the band containing temperature at 2m above ground level, but HRDPS also produces bands for precipitation, cloud cover, wind speed and direction, humidity, and others. These numerical simulations can be used for air quality modeling and forecasting, climate and wildfire modeling, and extreme weather forecasting. Users who will benefit most from using these new data are those for whom a detailed forecast of surface temperatures and winds is important. The 2.5 km forecasts could add much value especially during the change of seasons and in wintertime when rapid changes in temperature and winds cause phase transitions of precipitation (freezing rain to snow to rain for example). HRDPS is the high resolution counterpart to the RDPS dataset.
Spatial extent: Canada
Spatial resolution: 2.5 km grid (1/24 deg)
Temporal resolution: Daily
Time span: 2015-04-23 to present
Update frequency: Updated daily with 1 day lag time
Citation
Milbrandt, J. A., Bélair, S., Faucher, M., Vallée, M., Carrera, M. L., & Glazer, A. (2016). The pan-Canadian high resolution (2.5 km) deterministic prediction system. Weather and Forecasting, 31(6), 1791-1816.
// Read in Image Collection and get first image
var hrdps_ic = ee.ImageCollection('projects/climate-engine-pro/assets/ce-hrdps-daily')
var hrdps_i = hrdps_ic.first()
// Print first image to see bands
print(hrdps_i)
// Visualize temperature from first image
var temp_palette = ["#b2182b", "#ef8a62", "#fddbc7", "#f7f7f7", "#d1e5f0", "#67a9cf", "#2166ac"].reverse()
Map.addLayer(hrdps_i.select('Tavg'), {min: -10, max: 20, palette: temp_palette}, 'Tavg')
Enter license information
Data are subject to the Government of Canada Open Data Licence Agreement: https://open.canada.ca/en/open-government-licence-canada. The terms of this Agreement govern your use and reproduction of the data instead of the copyright reproduction statements found in Important Notices on the Agriculture and Agri-Food Canada website.
Keywords
climate, temperature, daily, Canada, near real-time
Code of Conduct
[X] I agree to follow this project's Code of Conduct
Contact Details
ClimateEngine.org staff, climateengine@gmail.com
Dataset description
Description The High Resolution Deterministic Prediction System (HRDPS) provides useful numerical simulations of temperature over large areas. Climate Engine is ingesting only the band containing temperature at 2m above ground level, but HRDPS also produces bands for precipitation, cloud cover, wind speed and direction, humidity, and others. These numerical simulations can be used for air quality modeling and forecasting, climate and wildfire modeling, and extreme weather forecasting. Users who will benefit most from using these new data are those for whom a detailed forecast of surface temperatures and winds is important. The 2.5 km forecasts could add much value especially during the change of seasons and in wintertime when rapid changes in temperature and winds cause phase transitions of precipitation (freezing rain to snow to rain for example). HRDPS is the high resolution counterpart to the RDPS dataset.
Spatial extent: Canada Spatial resolution: 2.5 km grid (1/24 deg) Temporal resolution: Daily Time span: 2015-04-23 to present Update frequency: Updated daily with 1 day lag time
Variables Mean temperature (‘Tavg’)
External link https://weather.gc.ca/grib/grib2_HRDPS_HR_e.html
Citation Milbrandt, J. A., Bélair, S., Faucher, M., Vallée, M., Carrera, M. L., & Glazer, A. (2016). The pan-Canadian high resolution (2.5 km) deterministic prediction system. Weather and Forecasting, 31(6), 1791-1816.
Link to documentation https://support.climateengine.org/article/68-hrdps
Earth Engine Snippet if dataset already in GEE
Enter license information
Data are subject to the Government of Canada Open Data Licence Agreement: https://open.canada.ca/en/open-government-licence-canada. The terms of this Agreement govern your use and reproduction of the data instead of the copyright reproduction statements found in Important Notices on the Agriculture and Agri-Food Canada website.
Keywords
climate, temperature, daily, Canada, near real-time
Code of Conduct