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Daniel Tripp

Research Associate

Daniel is a part of the Transportation Applications Team (TAT) focused on developing decision-support tools for transportation related forecasts. Research topics include, winter weather, UAS measurements, probabilistic forecasting, PHI tools, post-processing algorithms, and high-resolution CAM/NWP models. Additionally, Daniel assists the MRMS team in product development for the advanced weather radar techniques portfolio funded by the FAA.

Education

M.S. Meteorology, University of Oklahoma, 2019

B.S. Geosciences (Professional Meteorology), Mississippi State University, 2017

Experience

Research Associate, CIWRO/NSSL, Norman, OK, Jan 2020 - Present

Graduate Research Assistant, University of Oklahoma, School of Meteorology, Summer 2018-Fall 2019

Graduate Teaching Assistant, University of Oklahoma, School of Meteorology, Fall 2017 Spring 2018; Fall 2019

Research Team(s):

Transportation Applications