
Derin Precipitation Lab
From sensors to ensembles: precipitation science that holds up in practice
People
Faculty
Open Positions
We are inviting 2 incoming PhD students to join the Derin Precipitation Lab at the intersection of radar-based quantitative precipitation estimation (QPE), stochastic ensemble rainfall generation, and hydrologic hazard applications. Our work focuses on developing radar QPE methods that are physically grounded, rigorously quality-controlled, and paired with meaningful uncertainty characterization—then using stochastic modeling and downscaling to generate ensembles that preserve realistic space–time structure and extremes. We are especially interested in projects that connect precipitation science to real-world hydrologic needs in the Midwest, including flood resilience and infrastructure-relevant metrics. Students in the group will work with radar/satellite observations, numerical modeling, and modern data-driven methods, with an emphasis on reproducible workflows and evaluation that reflects decision-relevant thresholds.
