HydroGap-AI
The HydroGap-AI project aims to bridge gaps in streamflow observations using advanced machine learning (ML) techniques. This project involves the development of a Python-based open-source software package designed to fill gaps in daily streamflow time series, ensuring more accurate and continuous data for hydrological analysis and decision-making.
Follow the developments on GitHub
Mentors
- Mariana Clare
- Cinzia Mazzetti
- Maliko Tanguy
- Gwyneth Matthews
Participants
Konstantinos Plataridis
Yiannis Kontos
Konstantinos Perifanos