Team Name | HeavyRain |
Track | Public Sector/IoT |
Use Case | Heavy Rain Forecast
Accurate forecasting of heavy rainfall events and their impact on cities has been a major challenge not only since the heavy rainfall and flooding disaster in the Ahr Valley in July 2021. In particular, the abrupt and location-specific occurrence of these events should be analyzed within the framework of the project and predicted as accurately as possible with the help of the available data. In order to give residents room for maneuver. |
Technology | Forecast, simulation, and warning for heavy rainfall events in urban areas by intersecting heavy rainfall risk maps, runoff data and weather data (sensors, forecasts, radar information) in near real time. |
Region | Germany |
Team lead | Benjamin Gaertner |
Team members | @slg @Harishreddy7288 |
Social media handles | *all team members' social media links here* |
Is your team interested in participating in an interview? | Y |
Optional: Expand on your technology expertise | We are looking for the following expertise for our team: SAS, Python, JavaScript, Geographic Information Systems |
Seems interesting... I'd entertain joining. How do I begin?
Registration is now open for SAS Innovate 2025 , our biggest and most exciting global event of the year! Join us in Orlando, FL, May 6-9.
Sign up by Dec. 31 to get the 2024 rate of just $495.
Register now!