Uploaded January 2024 | Updated September 2026, 12 hours ago
Petr Dolezal is repurposing expired ensemble weather forecasts, harnessing the chaotic nature of weather to generate over 10,000 years of independent data. "This expansive dataset enables a comprehensive exploration of rare and extreme weather scenarios and aids in designing robust renewable systems resilient to weather variability," he says. "It also presents challenges that can be addressed by careful systems design and distributed computing."
Petr is co-supervised by Emily Shuckburgh, our Professor of Environmental Data Science and Srinivasan Keshav, Robert Sansom Professor of Computer Science here.
Petr Dolezal is repurposing expired ensemble weather forecasts, harnessing the chaotic nature of weather to generate over 10,000 years of independent data. "This expansive dataset enables a comprehensive exploration of rare and extreme weather scenarios and aids in designing robust renewable systems resilient to weather variability," he says. "It also presents challenges that can be addressed by careful systems design and distributed computing."
Petr is co-supervised by Emily Shuckburgh, our Professor of Environmental Data Science and Srinivasan Keshav, Robert Sansom Professor of Computer Science here.
