CW4Floods
This project is about using CrowdWater data and to translate this data into something that can be used in flood forecasting models. CrowdWater is an interesting initiative in which people send geo-referenced pictures of streams or rivers, along with the corresponding variations of water level.
The difficulty of this project lies in the variability of the CW data and in the difference of scale between the CW data and the GloFAS (or EFAS) data. We have indeed a very coarse representation of rivers in GloFAS, while in CW data we have more information about the smaller rivers.
The project aims to utilize CW data to improve model forecast.
Follow the developments on GitHub
Mentors
- Marie-Amelie Boucher
- Cinzia Mazzetti
- Florian Pappenberger
- Jan Seibert
- Juan Colonese
Participants
Mohit Anand
Emiliana Myftari
Beatrice Rinaldi
Enxhi Sulkja