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Home > Research > Predictability > Projects >     
   

Predictability: The ECMWF Ensemble Prediction System

 
 

WEATHER FORECASTS lose skill because of the growth of inevitable uncertainties in the initial conditions, and because numerical models describe in only an approximate way the exact laws of physics. The ECMWF Ensemble Prediction System (EPS) provides a practical tool for estimating how these errors could affect the forecast. The first version of the EPS was implemented operationally in December 1992.



Initial condition perturbations

The ECMWF weather prediction model is run 51 times from slightly different initial conditions. One forecast, called the EPS control forecast, is run from the operational ECMWF analysis. 50 additional integrations, the perturbed members, are made from slightly different initial conditions which are designed to represent the uncertainties inherent in the operational analysis. The initial perturbations are generated using the singular vector technique.

Model perturbations

To take into account the effect of uncertainties in the model formulation, each forecast is made using slightly different model equations.

Operational EPS forecasts

Multi-analysis forecasts

To investigate the effect of analysis differences on medium-range forecasts, the ECMWF model is run routinely from initial conditions of other operational forecast centres.


 

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