AGU26 Abstract Submission: Multi-Source Hydroclimatic Data Fusion

[Suraj Shah]

Dear colleagues,

We invite abstract submissions to our AGU26 session:

Multi-Source Precipitation and Hydroclimatic Data Source Fusion: From Uncertainty to Decision-Ready Hydrological Applications

The session welcomes studies on:

• Multi-source precipitation and hydroclimatic data fusion
• Satellite, reanalysis, model, and ground-observation integration
• Uncertainty quantification and error characterization
• Validation and benchmarking of merged datasets
• Applications in hydrological modelling, forecasting, extremes, and water-resource decision-making

Researchers, students, practitioners, and operational agencies working across hydrology, remote sensing, climate science, and data science are encouraged to submit.

Abstract submission link:
https://agu.confex.com/agu/agu26/prelim.cgi/Session/283453?brid=YWdncwGtsu0Mf_dGXnFTLcuVStWZ

Please feel free to share this call with colleagues and relevant research networks.

Kind regards,
Suraj Shah
School of Civil and Environmental Engineering
UNSW Sydney