Derin Precipitation Lab
From sensors to ensembles: precipitation science that holds up in practice
The Derin Precipitation Lab advances the quantitative understanding of precipitation and hydrologic hazards across scales and environments. We develop physically grounded and data-driven approaches that connect remote sensing (satellite and radar) with numerical modeling and stochastic methods to improve how precipitation is represented in science and in decision-relevant applications. A cornerstone of the lab is radar-based QPE—from retrieval and quality control to uncertainty characterization and hydrologic applications. We also focus on precipitation uncertainty and extremes and develop scalable ensemble tools, including stochastic downscaling of subseasonal-to-seasonal (S2S) precipitation forecasts and data-driven emulators of convective hazards.
If you are interested in learning more about the group’s research, collaborative opportunities or open positions, please reach out via email.
✨ We are currently recruiting 2 PhD researchers for Fall 2026!
We bridge precipitation science and real-world hydrologic needs—advancing radar QPE, uncertainty-aware extremes, and scalable ensembles for flood and infrastructure-relevant decisions.
Radar QPE
Retrieval, QC, uncertainty, hydrologic relevance
Uncertainty & Extremes
Error mechanisms, tails, regime dependence
Stochastic rainfall generation
Ensembles, downscaling, space–time structure
Hazard applications
Flood risk, PMP, convective hazards
© 2026 by Yagmur Derin Ph.D. 