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Global Ensemble Prediction System 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 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behavior 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. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day. Government of Canada; Environment and Climate Change Canada; Meteorological Service of Canada ECWeather-Meteo@ec.gc.ca undefined/Present dataset; jeuDonnées Probabilistic predictions Global Ensemble Precipitation Weather forecasts Humidity Air temperature Wind Meteorological data Snow Weather and Climate Provide Weather Information Products and Services Deliver Weather Products and Services to Clients Meteorological Service of Canada Weather and Environmental Operations Unclassified International en,fr MSC Datamart Datamart du SMC https://dd.weather.gc.ca/ensemble/geps/en,fr MSC Datamart Datamart du SMC https://dd.meteo.gc.ca/ensemble/geps/en,fr MSC Datamart AMQP Datamart du SMC AMQP amqps://dd.weather.gc.ca/ensemble.geps.#en,fr MSC Datamart AMQP Datamart du SMC AMQP amqps://dd.meteo.gc.ca/ensemble.geps.#en,fr GEPS.DIAG.24_PRMM.ERGE1 - Quantity of precipitation >= 1 mm [probability %] GEPS.DIAG.24_PRMM.ERGE1 - Quantité de précipitations >= 1 mm [probabilité %] https://geo.weather.gc.ca/geomet?lang=en&service=WMS&request=GetCapabilities&layers=GEPS.DIAG.24_PRMM.ERGE1en,fr GEPS.DIAG.24_PRMM.ERGE1 - Quantity of precipitation >= 1 mm [probability %] GEPS.DIAG.24_PRMM.ERGE1 - Quantité de précipitations >= 1 mm [probabilité %] https://geo.meteo.gc.ca/geomet?lang=fr&service=WMS&request=GetCapabilities&layers=GEPS.DIAG.24_PRMM.ERGE1en,fr MSC Open Data documentation Documentation des Données ouvertes du SMC https://eccc-msc.github.io/open-data/msc-data/nwp_geps/readme_geps_en/en,fr MSC Open Data documentation Documentation des Données ouvertes du SMC https://eccc-msc.github.io/open-data/msc-data/nwp_geps/readme_geps_fr/

Government Of Canada Geo.ca Data Catalog. Dataset Boundary [ undefined This catalog contains open datasets available on the Geo.ca platform. en-CA Government of Canada; Environment and Climate Change Canada; Meteorological Service of Canada ECWeather-Meteo@ec.gc.ca

Global Ensemble Prediction System

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 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behavior 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. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day.