Climate variability and change pose a major threat to the myriad benefits provided by water resources infrastructure. To ensure adequate future water supply and flood control services for people and the environment, decision makers must adapt their planning and management practices to accommodate a changing environment. Our research program enhances the sustainability of water systems through innovations in climate risk management that enable adaptation decision-making under deep uncertainty in future climate and hydrologic conditions. We advance this program through three inter-related themes:

• Assess the variability, predictability, and change of hydroclimate processes that impact the performance of water infrastructure.
• Develop stochastic methods to quantify the risk these hydroclimate processes pose to water services.
• Identify robust adaptation strategies that can mitigate this risk.

We pursue this agenda across scales, with two primary focal points: 1) hydroclimate forecasts for short-term management; and 2) long-term planning under climate change. Our work leverages an interdisciplinary approach that draws upon the physical sciences, machine learning and data analytics, and systems simulation and optimization.

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Topics we work on:

• Profiling causal mechanisms of flood and drought risk
• Paleo-climate reconstructions of extreme events
• Subseasonal-to-seasonal hydroclimate forecasting
• Synthetic forecasts and forecast-informed reservoir operations
• Stochastic weather generation and climate scenario development
• Robust and dynamic water system adaptation under climate change
• Climate resilience at the food-energy-water nexus
• Streamflow estimation in ungauged basins
• Machine learning and Bayesian techniques in hydrology and water management