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Yagmur Derin is a Research Scientist funded by NASA at the University of Wisconsin-Madison, working with Dr. Daniel Wright. She received her PhD in Environmental Engineering from the University of Connecticut in 2019, and was a postdoctoral fellow funded by NASA at the Advanced Radar Research Center, University of Oklahoma between 2019-2023. She is broadly interested in utilizing data from a variety of sources to better characterize quantitative precipitation estimates (QPE) to improve accuracy and speed of hydrological models. Her specific research interests are centered around understanding and characterization of precipitation processes to advance global QPE, particularly over challenging and weakly characterized regions such as mountainous and coastal regions. This in return will enhance communities’ preparedness to natural disasters.

She analyzes and apply observation (in-situ, ground, and space-based remote sensing) and numerical model data to advance the understanding of atmospheric and hydrological processes. She built her expertise around a detailed understanding of the physical weather processes of orographic precipitation and related natural hazards. Part of her research focused on analyzing and modeling the uncertainty of satellite-based precipitation products over mountainous terrain at a global scale with the help of machine learning as well as estimation of precipitation from high-frequency dual-polarization weather radars especially over mountainous terrain where weather radar gaps is observed. Currently, her research focuses on modeling and analyzing subseasonal-to-seasonal (S2S) predictability of extreme precipitation using hybrid methods.