We compare the GLAMEPS system, a pan-European limited area ensemble prediction system, with ECMWF's EPS over Belgium for an extended period from March 2010 until the end of December 2010. In agreement with a previous study, we find GLAMEPS scores considerably better than ECMWF's EPS. To compute the economic value, we introduce a new relative economic value score for continuous forecasts. The added value of combining the GLAMEPS system with the LAEF system over Belgium is studied. We conclude that adding LAEF to GLAMEPS increases the value, although the increase is small compared to the improvement of GLAMEPS to ECMWF's EPS. As an added benefit we find that the combined GLAMEPS-LAEF multi-EPS system is more robust, that ...
The performance of the new multimodel seasonal prediction system developed in the framework of the E...
The properties of European windstorms under present climate conditions are estimated on the basis of...
This thesis examines the role of weather forecasts in economic decision making and proposes a state-...
We compare the GLAMEPS system, a pan-European limited area ensemble prediction system, with ECMWF's ...
Grand Limited Area Model Ensemble Prediction System (GLAMEPS) is prepared for pan-European, short-ra...
The development of EuroTEPS, a targeted ensemble prediction system for Europe, is done as a part of ...
Forecasting atmospheric blocking is one of the main problems facing medium-range weather forecasters...
Two different systems provide long-range forecasts at ECMWF. On the sub-seasonal timescale, ECMWF i...
The usefulness of an Ensemble Prediction System (EPS) resides mostly in the variety of possible solu...
Numerical weather prediction (NWP) models (including mesoscale) have limitations when it comes to de...
A meso-scale ensemble system Aire Limitée Adaptation dynamique Développement InterNational – Limited...
Multi-model ensemble forecasts are obtained by weighting multiple General Circulation Model (GCM) ou...
A global ensemble prediction system (EPS) needs initial perturbations to account for the uncertainti...
Multi-model ensembles (MMEs) are powerful tools in dynamical climate prediction as they account for ...
The ECMWF/ALADIN system is a limited area ensemble prediction system, which has been developed at th...
The performance of the new multimodel seasonal prediction system developed in the framework of the E...
The properties of European windstorms under present climate conditions are estimated on the basis of...
This thesis examines the role of weather forecasts in economic decision making and proposes a state-...
We compare the GLAMEPS system, a pan-European limited area ensemble prediction system, with ECMWF's ...
Grand Limited Area Model Ensemble Prediction System (GLAMEPS) is prepared for pan-European, short-ra...
The development of EuroTEPS, a targeted ensemble prediction system for Europe, is done as a part of ...
Forecasting atmospheric blocking is one of the main problems facing medium-range weather forecasters...
Two different systems provide long-range forecasts at ECMWF. On the sub-seasonal timescale, ECMWF i...
The usefulness of an Ensemble Prediction System (EPS) resides mostly in the variety of possible solu...
Numerical weather prediction (NWP) models (including mesoscale) have limitations when it comes to de...
A meso-scale ensemble system Aire Limitée Adaptation dynamique Développement InterNational – Limited...
Multi-model ensemble forecasts are obtained by weighting multiple General Circulation Model (GCM) ou...
A global ensemble prediction system (EPS) needs initial perturbations to account for the uncertainti...
Multi-model ensembles (MMEs) are powerful tools in dynamical climate prediction as they account for ...
The ECMWF/ALADIN system is a limited area ensemble prediction system, which has been developed at th...
The performance of the new multimodel seasonal prediction system developed in the framework of the E...
The properties of European windstorms under present climate conditions are estimated on the basis of...
This thesis examines the role of weather forecasts in economic decision making and proposes a state-...