Hello, my name is Nathan Lis, and I’m a Masters student at the University of Oklahoma School of Meteorology.

My current research involves using dual-polarimetric radar data, disdrometer data, and HRRR model soundings to develop operational icing-detection products for the FAA.  This research also aims to improve the accuracy of the current NWS hydrometeor classification algorithm.  To complete the project, I am working with Drs. Guifu Zhang, Heather Reeves, Andrew Rosenow, and Jidong Gao, in collaboration with the Cooperative Institute for Mesoscale Meteorology Studies (CIMMS), OU School of Meteorology, OU Advanced Radar Research Center, and the National Severe Storms Laboratory.

In spring 2018, I graduated summa cum laude from Penn State University with a BS in Meteorology and Atmospheric Science, and a dual-minor in geographic information systems and piano performance.

I have been fascinated by the weather ever since I was 5 years old, and through my research I hope to protect lives and property by improving forecasts for dangerous conditions.

More information about the past projects I have completed, as well as my current CV and Resume, are available on this website.  You can also find me on LinkedIn, ResearchGate, and Google Scholar.