Learn more Discover Hydr’Avatar, a revolutionary platform combining data science, advanced sensors, and cutting-edge modeling to tackle hydrological challenges in the face of climate change. Innovation for HYDR'AVATAR high-resolution hydrology
What is Hydr’Avatar?

Worsened by population growth and urbanization, climate change isincreasing the frequency and severity of floods and droughts, threatening lives and economies. To mitigate these impacts, better observation and prediction of hydrological changes are essential. Traditional water management methods struggle to capture the complex dynamics of the hydrological cycle and integrate diverse Earth Observation (EO) data, limiting their ability to accurately predict hydrological events at diverse spatial and temporal resolutions and in ungauged areas. Key challenges include the complexity of physical processes, data limitations, high costs, and a top-down approach that may not fully meet end-users’ needs.

EO satellites have greatly enhanced our understanding of the Earth
system, and advanced hydrological and hydraulic models and AI are
needed to fully utilize these datasets for scalable flood management.
Digital Twins (DT) offer a promising approach to simulate and manage
complex systems by creating virtual representations that integrate
data science, sensors, and modeling. However, current hydrological DTs
lack versatile, multi-scale modeling for diverse basins. The
Hydr’Avatar platform aims to fill this gap by integrating hydrological
and hydraulic models to represent basin-scale processes and flood
propagation. Advanced machine learning, data assimilation, and
high-resolution EO data will enhance model accuracy and enable
predictions in ungauged basins. The platform will also consider
anthropogenic impacts like land use changes and agricultural practices.

Hydr’Avatar will integrate Earth Observation (EO) data, ground
observations, and advanced models to improve understanding of
hydrological processes and decision-making. The EO data will cover
key water cycle components and include insights from the SWOT mission.
Physically-based hydrological models, coupled with high-resolution
hydraulic models and AI/ML methods, will provide user-friendly
hydrological information, enabling stakeholders to perform advanced tasks.

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PARTNERS

Our partners

Hydr’Avatar brings together renowned research institutions and innovative companies:

Each partner plays a key role in the development and deployment of this platform to ensure its effectiveness and impact.

Contact us

Questions? Collaboration?

Feel free to reach out to us to learn more about Hydr’Avatar or discuss potential collaborations.