We show that ensemble forecasts of extreme European windstorms can be improved up to a lead time of 36–48 hr by sub-selecting ensemble members based on their performance at very short lead times (up to 12 hr). This applies to both the ensemble mean position of the cyclone centre and the ensemble windstorm footprint over the continent. A number of ensemble forecasts, including those from the ECMWF Ensemble Prediction System, are initialised every 12 hr and disseminated several hours after initialisation; therefore our approach has the potential to provide improved forecasts in an operational context. The analysis is performed on GEFS reforecast data.
Under the auspices of the World Meteorological Organization, there are a number of international ini...
Capturing the uncertainty in probabilistic wind power forecasts is challenging, especially when unce...
A major research challenge of the 21st century is to provide early warning for floods with potential...
We show that ensemble forecasts of extreme European windstorms can be improved up to a lead time of ...
Abstract. New insights into the synoptic-scale predictability of 25 severe European winter storms of...
The properties of European windstorms under present climate conditions are estimated on the basis of...
The overtopping of flood defenses by coastal storm surges constitutes a significant threat to life a...
The prediction of extratropical cyclones by the European Centre for Medium Range Weather Forecasts (...
A global ensemble prediction system (EPS) needs initial perturbations to account for the uncertainti...
Ensemble Prediction has become an essential part of numerical weather forecasting. In this paper w...
Accurate predictions of severe weather events are extremely important for society, economy, and envi...
The prediction of extratropical cyclones by the European Centre for Medium Range Weather Forecasts (...
Forecasting atmospheric blocking is one of the main problems facing medium-range weather forecasters...
Dynamical downscaling has been applied to global ensemble forecasts to assess its impact for four ca...
Electricity generation output forecasts for wind farms across Europe use numerical weather predictio...
Under the auspices of the World Meteorological Organization, there are a number of international ini...
Capturing the uncertainty in probabilistic wind power forecasts is challenging, especially when unce...
A major research challenge of the 21st century is to provide early warning for floods with potential...
We show that ensemble forecasts of extreme European windstorms can be improved up to a lead time of ...
Abstract. New insights into the synoptic-scale predictability of 25 severe European winter storms of...
The properties of European windstorms under present climate conditions are estimated on the basis of...
The overtopping of flood defenses by coastal storm surges constitutes a significant threat to life a...
The prediction of extratropical cyclones by the European Centre for Medium Range Weather Forecasts (...
A global ensemble prediction system (EPS) needs initial perturbations to account for the uncertainti...
Ensemble Prediction has become an essential part of numerical weather forecasting. In this paper w...
Accurate predictions of severe weather events are extremely important for society, economy, and envi...
The prediction of extratropical cyclones by the European Centre for Medium Range Weather Forecasts (...
Forecasting atmospheric blocking is one of the main problems facing medium-range weather forecasters...
Dynamical downscaling has been applied to global ensemble forecasts to assess its impact for four ca...
Electricity generation output forecasts for wind farms across Europe use numerical weather predictio...
Under the auspices of the World Meteorological Organization, there are a number of international ini...
Capturing the uncertainty in probabilistic wind power forecasts is challenging, especially when unce...
A major research challenge of the 21st century is to provide early warning for floods with potential...