CMWR 2026 - Session on Computational Techniques for Hydroclimatic Simulation, Forecasting, and Analysis

[Giuseppe Mascaro]

Dear Colleagues,

I would like to draw your attention to the session “Computational Techniques for Hydroclimatic Simulation, Forecasting, and Analysis” at the upcoming Conference on Computational Methods in Water Resources (CMWR 2026), which will be held in Bologna, Italy.

Additional information is provided below.

Apologies for any cross-posting.

Best regards,

Giuseppe

 

 

CMWR 2026

The Conference on Computational Methods in Water Resources

June 28 – July 2, 2026, Bologna, Italy

Session 9. Computational Techniques for Hydroclimatic Simulation, Forecasting, and Analysis

Organizers: Giuseppe Mascaro, Arizona State University; Simon Michael Papalexiou, Hamburg University of Technology; Elena Volpi, University of Rome 3

Deadline for abstract submission: 9 March - submit your abstract at the following link: CMWR 2026 Official Website.

Abstract: This session focuses on recent advancements in simulating and forecasting key hydroclimatic variables, including precipitation, temperature, wind, humidity, radiation, soil moisture, and discharge. We emphasize emerging computational methods for modeling time series, spatially distributed fields, and extreme events. We also focus on techniques to simulate and/or detect the effect of climate variability and long-term climate change. Topics include:

• High-resolution numerical models of weather–climate–land interactions
• Stochastic and probabilistic simulations, including extremes and compound events
• Machine learning (ML) and hybrid physics–ML methods for hydroclimatic forecasting
• Computational techniques for detecting changes in the water cycle (e.g., trends, nonstationarity, regime shifts)
• Data assimilation, ensemble prediction, and uncertainty quantification
• Integration of remote sensing, reanalyses, and real-time monitoring networks

We welcome case studies from diverse regions that demonstrate the capabilities and limitations of these methods, as well as their relevance to water resource planning, early warning applications, and climate risk assessments.

 

------------------------------------------------------------

Dr. Giuseppe Mascaro

Associate Professor

School of Sustainable Engineering and the Built Environment

Arizona State University

Office: Hydrosystems Engineering, WCPH, Room 416

777 E. University Dr., Tempe, AZ, 85287-8704

------------------------------------------------------------