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.

Thank you all for participating in the conference!

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.

Programme (If you have poster, the format is traditionally A0)

How to get there.

Where to stay

About the venue.

Are you not able to attend in person? You can register here for online participitation (we will send you a link to a youtube-stream)

Timeline

First announcement 23.May 2024

The deadline for submission of abstracts is 6th September 2024.

Notification of acceptance: 16 September 2024

Registration for physical attendance is open until 30 September 2024. 

Release of final program: 30 September 2024 here.

Registration for online participation until 1 November 2024. Register here.

Conference date: 4 November 2024 – 8 November 2024

Presentations are available from the Programme here

Book of abstracts are available here.

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)

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)