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Found 10 records similar to Regional Ensemble Prediction System

Federal

The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 32 days once a week on Thursdays at 00UTC). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available.

Last Updated: Sep. 2, 2022
Date Published: May 2, 2022
Organization: Environment and Climate Change Canada
Formats: WMS GRIB2
Keywords:  Probabilistic predictions, Global, Ensemble, Precipitation, Weather forecasts, Humidity, Air temperature, Wind, Meteorological data
Federal

The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analysis valid at 06 and 12 UTC.

Last Updated: Sep. 2, 2022
Date Published: Jul. 11, 2022
Organization: Environment and Climate Change Canada
Formats: WMS GRIB2
Keywords:  Quantity of precipitation, Analysis, Forecasting, Precipitation, Meteorological data, Measurement, Radar, Meteorological Service of Canada, Deliver Weather Products and Services to Clients
Federal

The Regional Deterministic Precipitation Analysis (RDPA) produces a best estimate of the amount of precipitation that occurred over recent past periods of 6 or 24 hours. The estimate integrates data from in situ precipitation gauge measurements, weather radar, satellite imagery and numerical weather prediction models. Geographic coverage is North America (Canada, United States and Mexico). Data is available at horizontal resolution of 10 km.

Last Updated: Sep. 2, 2022
Date Published: Jul. 6, 2022
Organization: Environment and Climate Change Canada
Formats: WMS HTML GRIB2
Keywords:  Quantity of precipitation, Atmosphere, International, Weather and Climate, Precipitation, Meteorological data, Forecasting, Measurement, Radar
Federal

The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global.

Last Updated: Sep. 2, 2022
Date Published: Aug. 23, 2022
Organization: Environment and Climate Change Canada
Formats: WMS HTML GRIB2
Keywords:  Probabilistic predictions, Atmosphere, International, Weather and Climate, Weather forecasts, Air temperature, Snow, Meteorological data, Wind
Federal

The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analyses valid at 06 and 12 UTC.

Last Updated: Sep. 2, 2022
Date Published: Jun. 30, 2022
Organization: Environment and Climate Change Canada
Formats: SHP WMS
Keywords:  Quantity of precipitation, Analysis, Radar, Forecasting, Precipitation, Meteorological data, Measurement, Meteorological Service of Canada, Deliver Weather Products and Services to Clients
Federal

The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada.

Last Updated: Sep. 2, 2022
Date Published: Apr. 27, 2022
Organization: Environment and Climate Change Canada
Formats: WMS GRIB2
Keywords:  Prediction, High resolution, Deterministic, Humidity, Air temperature, Precipitation, Weather forecasts, Snow, Meteorological data
Federal

The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States.

Last Updated: Sep. 2, 2022
Date Published: May 25, 2022
Organization: Environment and Climate Change Canada
Formats: WMS GRIB2
Keywords:  Prediction, Regional, Deterministic, Weather forecasts, Precipitation, Air temperature, Humidity, Snow, Wind
Federal

The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global on a native Yin-Yang grid at 15 km horizontal resolution. Data is available for 33 vertical levels and interpolated on a global latitude-longitude uniform grid with 0.2 degree horizontal resolution.

Last Updated: Sep. 2, 2022
Date Published: Jun. 27, 2022
Organization: Environment and Climate Change Canada
Formats: WMS GRIB2
Keywords:  Prediction, Global, Deterministic, Atmosphere, Weather and Climate, Weather forecasts, Precipitation, Air temperature, Humidity
Federal

MetNotes are a geo- and time-referenced, free form polygon product issued by MSC that complement today's location-based dissemination systems. The concise text of a MetNote (similar to a Tweet) is consistent with communication today where people are seeking information at a glance. Meteorologists will issue a MetNote to add contextual and/or impact information to complement the public forecast that is valid over a specific area, for a specific time range.

Last Updated: Sep. 2, 2022
Date Published: Jul. 12, 2022
Organization: Environment and Climate Change Canada
Formats: WMS GEOJSON
Keywords:  MetNote, Contextual information, Forecaster comment, Impact, Meteorological Service of Canada, Deliver Weather Products and Services to Clients, Provide Weather Information Products and Services, Weather and Environmental Operations, National (CA)
Federal

Daily climate observations are derived from two sources of data. The first are Daily Climate Stations producing one or two observations per day of temperature, precipitation. The second are hourly stations that typically produce more weather elements e.g. wind or snow on ground.

Last Updated: Sep. 14, 2022
Date Published: Jul. 26, 2022
Organization: Environment and Climate Change Canada
Formats: CSV HTML GEOJSON
Keywords:  Atmosphere, National (CA), Provide Weather Information Products and Services, Deliver Weather Products and Services to Clients, Meteorological Service of Canada, Weather and Environmental Operations, Unclassified, Climate, Climate archives
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