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

[Elena Volpi]

Dear Colleagues, 

The deadline for abstracts submission to The Conference on Computational Methods in Water Resources CMWR 2026 (June 28 – July 2, 2026, Bologna, Italy) is approaching, 9 March 2026. 

If you plan to attend the  CMWR 2026  conference, please consider submitting your contribution to: 

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

Organized by Giuseppe Mascaro, Arizona State University, Simon Michael Papalexiou, Hamburg University of Technology, Elena Volpi, Roma Tre University

The session description follows.

Looking forward your contribution, sincerely.

Elena Volpi

On behalf of the session organizers

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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.