Advances in remote-sensing tools and data-driven methods for understanding hydrological processes at CMWR 26 (Bologna, 28th June - 2nd July 2026)

[christian.massari]

Dear colleagues,

We are pleased to share the announcement for Session 5: Advances in remote-sensing tools and data-driven methods for understanding hydrological processes, to be held at the Computational Methods in Water Resources (CMWR) conference in Bologna, Italy, from June 28 to July 2, 2026 (https://cmwrconference.org/).

Abstract submission is now open and will remain open until March 9. Please find the session flyer attached:

Session 5 brings together cutting-edge research that leverages multi-sensor remote-sensing data, machine learning, artificial intelligence, and data assimilation to improve the monitoring, quantification, and understanding of hydrological states and fluxes. Emphasis is placed on multi-scale, multi-variable, and integrated approaches that enable data-driven discovery, enhance process understanding, and reduce uncertainty in hydrological estimates.

We invite contributions addressing, but not limited to:

• Integration of multi-source and multi-sensor remote-sensing datasets

• Machine learning and AI for hydrological process understanding

• Data assimilation frameworks for water and energy fluxes

• Observations and modeling of soil moisture, snow, surface water, and groundwater

• Uncertainty quantification and reduction in remote-sensing–based hydrology

• Data-driven insights into complex hydrological processes across scales

Session organizers:
Manuela Girotto, UC Berkeley
Ben Livneh, UC Boulder
Christian Massari, CNR

We look forward to engaging with the community and seeing you in Bologna!

Best regards,
Manuela Girotto
Ben Livneh
Christian Massari