Full size photo

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 will provide 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 will focus 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.

Presentations

ECMWF products development
Florian Pappenberger (ECMWF)
  PDF icon video icon
ECMWF research plans
Irina Sandu (ECMWF)
  PDF icon

video icon

EUMETSAT products and services for monitoring storms: new missions, more data and more meteorological products
Jochen Grandell (EUMETSAT)

  PDF icon

 

video icon

 

Processing ECMWF ENS and MOGREPS-G ensemble forecasts to highlight the probability of severe extra-tropical cyclones: examples from the recent storm Doris
Helen Titley (Met Office)

  PDF icon

video icon

Post processing of ECMWF EPS outputs by using an analog and transference technique to improve the extreme rainfall predictability in Ebro basin (Spain)
Robert Monjo (Meteogrid)
  PDF icon

video icon

ECMWF perspective: storm forecasts
Tim Hewson (ECMWF)
  PDF icon

video icon

Storm naming: Does it work?
Will Lang (Met Office) and Gerald Fleming (Met Eireann)
  PDF icon

video icon

Using ECMWF's forecast to successfully predict and issue warnings for severe storms in Iceland: The forecasters view
Helga Ívarsdóttir (Icelandic Met Office)
  PDF icon

video icon

How ECMWF has addressed requests from the data users
David Richardson (ECMWF)
  PDF icon

video icon

Satellite monitoring of the convective storms: forecasters’ point of view
Michaela Valachova (CHMI)
  PDF icon

video icon

New observation capabilities for storm monitoring – Lightning Imager
Jochen Grandell (EUMETSAT)
  PDF icon

video icon

Lightning Imager – User readiness
Rafal Iwanski (IMGW)
  PDF icon

video icon

Nowcasting SAF products and applications
Pilar Ripodas (AEMET)
  PDF icon

video icon

Catalysing innovation in Wather Science -  The role of observations and NWP for the Nowcasting of storms
Estelle de Coning (WMO)
  PDF icon

video icon

Satellite data assimilation in models
Tony McNally (ECMWF)
  PDF icon

video icon

Potential for MTG-IRS to impact the forecasting of severe weather cases
Kirsti Salonen (ECMWF)
  PDF icon

video icon

Diagnostics used in the university research context
Christian Grams (ETH Zurich)
  PDF icon

video icon

Multi-scale predictability of severe weather
Linus Magnusson (ECMWF)
  PDF icon

video icon

From Hazards to Impact: Experiences from the Hazard Impact Modelling project 
Becky Hemingway (Met Office)
  PDF icon

video icon

Forecasting and modelling the high impact effects of Wind Storms for the UK transport and European energy sectors
Lara Gunn (MetDesk)
  PDF icon

video icon

The Challenge - winning idea
Dave MacLeod (University of Oxford)
  PDF icon

video icon

Storm chasing
Paul Knightley (MeteoGroup)
  PDF icon

video icon

The ESSL Testbed NWP Data Interface
Pieter Groenemeijer (European Severe Storms Laboratory)
  PDF icon

video icon

Beauty and the beast through the eyes of GDACS platform
Thomas Petroliagkis (Joint Research Centre)

  PDF icon

video icon

Using weather pattern analysis to identify periods of heightened coastal flood risk in the medium to long range
David Price (Flood Forecasting Centre) and Robert Neal (Met Office)
  PDF icon

video icon

What is ARISTOTLE and how do we use ECMWF forecasts to contribute?
Jennifer Rourke (Met Office)
  PDF icon

video icon

ecCharts and web services update
Cihan Sahin (ECMWF)
  PDF icon

video icon

Hazard Impact Modelling for Storms
Ken Mylne (Met Office)
  PDF icon

video icon

Windy
Tomas Slavkovsky (windytv)
  PDF icon

video icon

Verification at ECMWF
Thomas Haiden (ECMWF)
  PDF icon

video icon

Indexes in the context of convective storms
Gunnar Noer (Norwegian Meteorological Institute)
  PDF icon

video icon

News from C3S: ERA5
Hans Hersbach (ECMWF)
  PDF icon

video icon

Seasonal forecasting activities at ECMWF
Laura Ferranti and Anca Brookshaw (ECMWF)
  PDF icon

video icon

Outcomes    

video icon

Conclusions    

video icon

 Posters

Fu Jiolan (National Meteorological Center CMA) PDF icon
Kornél Kolláth (Hungarian Meteorological Service) PDF icon
Gian Paolo Minardi (ARPA Lombardia) PDF icon
Lionel Moret (MeteoSwiss) PDF icon
Rosen Penchev (BULATSA) PDF icon
Javier Rodriguez (AEMET)  PDF icon
Thomas Schumann (Deutscher Wetterdienst) PDF icon