European Nowcasting and Weather Forecasting Conference 2024
4-8 November 2024
ENWFC-2024 in Oslo, Norway
About the conference
The European Nowcasting and Weather Forecasting Conference 2024 (ENWFC-2024) is organized in the frame of EUMETNET (European Meteorological Network) within EUMETNET Weather Forecasting Cooperation (E-WFC) and most of its Modules (E-NWC: EUMETNET Nowcasting, PP: Post Processing, SRNWP-EPS: Short Range Numerical Weather Prediction – Ensemble Prediction System). It is the continuation of the series of European Nowcasting Conference, and organized within the three listed Modules for the first time. It is dedicated to Nowcasting, Very Short Range Forecasting (VSRF), Seamless Forecasting, Ensemble Prediction and Post Processing. The goal of the conference is to promote recent advances in the theory and practice of these issues in Europe and other parts of the world.
The conference welcomes participants from operational, research and forecast user communities.
The scientific program will feature keynote addresses as well as contributed presentations (15 min + 5 min questions/discussion) and offer enough room for discussions.
Practical information
ENWFC-2024 will take place in Oslo (Norway) from Monday 4th of November to Friday 8th of November 2024 in Oslo Science Park, nearby MET Norway.
Please register for the conference here.
Timeline
First announcement 23.May 2024
The deadline for submission of abstracts is 6th September 2024. Submit your abstract here.
Notification of acceptance: 16 September 2024
Registration is open until 30 September 2024. Register here.
Release of final program: 30 September 2024
Conference date: 4 November 2024 – 8 November 2024
Topics
Observations as basis for nowcasting, very short range forecasting and situational awareness:
Current observational systems (radar, satellite and lightning networks)
Potential of new observational data (improved lightning networks, GNSS systems, LIDAR’s, Radiometers, Ceilometers, crowdsourcing, future satellite instruments), potential for data assimilation
Data pre-processing and QC techniques
Nowcasting and Postprocessing techniques, systems and products:
Deterministic /probabilistic / ensemble solutions
Conceptual and heuristic methods
Machine-learning based methods (AI, deep learning) in Nowcasting and Statistical Postprocessing
Statistical Postprocessing at unobserved locations
Space - Time Multivariate Statistical Postprocessing
The next benchmark activities of Statistical Postprocessing
Downstream meteorological products
Generation of probabilistic products and their interpretation
Seamless prediction:
NWP based systems and data assimilation
Probabilistic systems and ensemble forecasting
Quantification and representation of the uncertainties
Combination of observation-based Nowcasting and NWP
Statistical Postprocessing methods for combined forecasts
Purely data-driven, AI-based weather forecasting modelling
Verification and societal impacts:
Verification of nowcasting systems and weather warnings
Defining the value of nowcasting
Evaluation of nowcasting products and user feedback
Quality and value of probabilistic forecasts, especially for high-impact weather
Specific verification strategies and methods for high-resolution wind and rainfall Postprocessing
Validating societal impacts
Situational awareness in weather surveillance
Applications:
Nowcasting information in decision making systems
Renewable energy
Road
..
High-impact weather products in decision making (usage of probabilistic output)
Abstract submission
We appreciate your contribution. The deadline for submission of abstracts is 6th September 2024. Submit your abstract here.
Scientific Steering Committee
Alexander Kann (GeoSphere Austria), Aitor Atencia (GeoSphere Austria), Kathrin Wapler (DWD), Matteo Buzzi (MeteoSwiss),
Maarten Reyniers (RMI), André Simon (SHMU), Stéphane Vannitsem (RMI), Jonathan Demaeyer (RMI), Chiara Marsigli (DWD),
Francesca Marcucci (ITAF Met), Alfons Callado (AEMET), Inger-Lise Frogner (MET Norway)
Conference Organization Committee
Solfrid Agersten (MET Norway), Kathrine Lindsay (MET Norway), Franziska Schmid (GeoSphere Austria), Stéphane Vannitsem (RMI),
Chiara Marsigli (DWD), Francesca Marcucci (ITAF Met), Alfons Callado (AEMET), Tomislav Marekovic (DHZ, EUMETCAL)