PSU ADAPT

Steven J. Greybush Research Group

Steven J. Greybush

Associate Professor of Meteorology
Co-Hire, Institute for Computational and Data Sciences

Associate Director and Chair, Executive Team,
Center for Advanced Data Assimilation and Predictability Techniques

618 Walker Building
University Park, PA 16802
Phone: (814) 867-4926
Email: sjg213@psu.edu

	Ryan McMichael Ph.D. Graduate Student • Planetary Atmospheres • Data Assimilation
	Ethan Schaefer Ph.D. Graduate Student • Data Assimilation • Winter Storms
	Christian Spallone M.S. Graduate Student • Machine Learning • Data Assimilation • Mesoscale Meteorology
	Alice Vendrame Ph.D. Graduate Student • Planetary Atmospheres • Data Assimilation
	Song Zhang Ph.D. Graduate Student (Co-Advisor: Dr. Matthew Kumjian) • Radar meteorology • Winter storms

Recent Graduates:

	Jon Seibert Ph.D., 2025 Assimilating NASA IMPACTS Data for 7 Feb 2020 Storm to Improve WRF Winter Cyclone Prediction
	Da Fan Ph.D., 2024 Deep Learning for Convective Initiation Nowcasting
	Steven Naegele Ph.D., 2022 Investigation of Wind Regimes in Kuwait and the Northeastern U.S. Coast Using Observations and Self-Organizing Maps of Model Output
	Noah Polek-Davis M.S., 2022 Comparative Analysis of Martian Global Dust Storms Genesis and Progression
	Hartzel Gillespie Ph.D., 2021 Investigation of Martian meteorology using the Ensemble Mars Atmosphere Reanalysis System (EMARS)
	Robert Nystrom Ph.D., 2020 The dynamics and predictability of major hurricanes: influences of initial condition uncertainty and model error explored using ensemble data assimilation
	Glen Hanson M.S., 2016 Impact of Assimilating Surface Pressure Observations from Smartphones: Observing System Simulation Experiments with the PSU WRF-EnKF
	Petros Kalogeras M.S., 2015 Evaluating Radiance and Retrieval Assimilation of Mars Thermal Emission Spectrometer Spacecraft Observations

Postdocs, Students, and Visitors:

Chris Ramos, graduate researcher in spatial data science (co-mentored with Dr. Brandi Gaertner), Thesis: DustCast: An Ensemble Machine Learning Model for Monthly Atmospheric Dust Aerosol Forecasting Across the Arabian Peninsula
Eric Myskowski, undergraduate researcher, Thesis: Exploring Snowfall Predictability with the HRRR model for the January 16-17, 2022 Mixed Precipitation Event in Pennsylvania
Jacob Hair, undergraduate researcher, Winter Storms
Audrey Rojas, undergraduate researcher (co-mentored), Martian Weather
Alvin Cheung, undergraduate researcher (co-mentored with Dr. Jenni Evans), Thesis: Detecting Tropical Cyclone Secondary Eyewalls with a Microwave-Based Scheme
Quinlan Mulhern, undergraduate researcher, Lake-Effect Snow
Kaylen Woods, undergraduate researcher, Thesis: Comparing EMARS Reanalysis with Independent Observations of the Martian Atmosphere
Dr. Yan (Elena) Wang, postdoctoral scholar (1/2020-3/2021; co-mentored), Weather and Public Health
Dr. Atsushi Okazaki, postdoctoral scholar (7/2019-2/2021; co-mentored), Data Assimilation
Alejandro Hermoso, Visiting Ph.D. Student from University of the Balearic Islands, Spain (04/2019-05/2019), Ensembles and Predictability
Dr. Moussa Gueye, postdoctoral scholar (9/2018-6/2019; co-mentored), Weather and Public Health
Brandon Smith, undergraduate researcher, Martian Atmosphere Dust Storms
Seth Saslo, graduate researcher, Winter Storms, Data Assimilation, Predictability