ECMWF | Reading | 12-16 June 2017
A forum to discuss the use and performance of ECMWF's forecasts and related products
“Using ECMWF’s Forecasts” provides a forum for exchanging ideas and experiences on the use of ECMWF data and products. It is open to all ECMWF forecast users in Europe and elsewhere around the world and provides an opportunity to give feedback to ECMWF on forecast performance and on the range of available products, and to learn about ECMWF recent developments of the forecasting system.
2017 theme: "Storms"
Severe storms, whether they happen in winter or summer, have considerable impact on people’s lives and may lead to significant disruptions to services and commercial activities. Strong winds, heavy rain, hail, lightning, blizzards, floods and storm surges are some of the characteristics associated with severe storms. These can lead to damage and destruction of infrastructure, injury and death. Predicting their onset, intensity and track with enough lead time is therefore essential for readiness and damage limitation. Moreover, some applications may require information on regime changes in the extended-range forecast (for example the indication of a stormy period two weeks ahead) or seasonal outlooks.
Numerical weather prediction (NWP) models support (weather) service providers with accurate forecasts and the associated confidence of when a storm will form, where it will strike and how severe it will be. ECMWF has been at the forefront of NWP development for many years and our strategy includes the provision of high quality products for severe weather forecasts. This meeting provided important information on how ECMWF data are used in forecasting severe weather, their quality and any gaps that could be addressed in future developments.
UEF2017 focussed on three thematic areas:
- Processing of model outputs: this session will be dedicated to model output developments to support the forecasting of severe storms and their associated weather phenomena.
- Diagnostics: this session will look at tools or studies that highlight weaknesses and strengths of the ECMWF model in predicting storms.
- Impact: this session will look at the impacts that storms have on sectoral applications.
|Fu Jiolan (National Meteorological Center CMA)|
|Kornél Kolláth (Hungarian Meteorological Service)|
|Gian Paolo Minardi (ARPA Lombardia)|
|Lionel Moret (MeteoSwiss)|
|Rosen Penchev (BULATSA)|
|Javier Rodriguez (AEMET)|
|Thomas Schumann (Deutscher Wetterdienst)|