From chaos to clarity: Seasonal forecasts for confident risk management

In an era of increasing weather volatility, making informed water management decisions months in advance is more critical, and more challenging, than ever. Join us at 9am PT / 12pm ET on Tuesday August 26 for an in-depth webinar on the future of seasonal risk management.

Can't make the live event? No problem! Register anyway, and we'll send you the recording.

About the webinar

Traditional long-term weather prediction is complex, but advances in hydrology and machine learning are changing the game. We’ll demystify key concepts like probabilistic forecasts, ensembles, and confidence intervals—giving you practical tools to interpret uncertainty and act with confidence.

Through real-world use cases and lessons learned from recent seasons, you’ll gain insights into how organizations are applying these forecasts to water supply, flood, and drought planning. Whether you’re a water manager, emergency planner, or anyone who relies on seasonal outlooks, this session will help you manage  uncertainty, implement smart risk assessment  processes, and make decisions that stand up to the unexpected.

Key takeaways

• Why seasonal forecasting is uniquely challenging
• The essentials of probabilistic thinking and why it’s crucial for long-term planning
• How to interpret probabilistic forecasts and communicate risk
• Real-world examples and best practices from industry leaders
• Strategies for integrating probabilistic forecasts  into operational workflows

Meet the speakers

Marshall Moutenot, Co-founder and Chief Executive Officer

Marshall is the Chief Executive Officer of Upstream Tech and a co-founder, overseeing the product development, growth and partnerships. Prior to co-founding Upstream Tech, he worked in a number of early- and late-stage technical companies that have collectively raised over $100M USD in venture capital. He was awarded Forbes 30 Under 30 in Energy and has served on panels for the United Nations Economic and Social Council. Marshall holds a BA in Computer Science from Tufts University.

Alden Keefe Sampson, Co-founder and Chief Technology Officer

Alden is Upstream Tech’s Chief Technical Officer and a co-founder of the company. Awarded Forbes 30 Under 30 in Energy, Alden focuses on large-scale data processing pipelines and machine learning to derive environmental measurements from satellite data and large geospatial datasets. Alden holds a BA in Computer Science from Tufts University.

Phil Butcher, HydroForecast Machine Learning Software Engineer

Phil is a Machine Learning Engineer on the HydroForecast team at Upstream Tech. He brings expertise in weather, hydrology, forecast verification, and machine learning from previous roles at the Northwest River Forecast Center and Bonneville Power Administration. Phil holds a B.S. and M.S. in Meteorology from Iowa State University.