Steven Greybush

Steven Greybush

  • Associate Professor of Meteorology
  • Associate Director, Center for Advanced Data Assimilation and Predictability Techniques
  • Fellow of the Institute for CyberScience
618 Walker Building
University Park, PA 16802
Phone: (814) 867-4926


  1. Ph.D., Atmospheric and Oceanic Science, The University of Maryland
  2. M.S., Atmospheric and Oceanic Science, The University of Maryland
  3. B.S., Computer Science, The Pennsylvania State University
  4. B.S., Meteorology, The Pennsylvania State University

Research Specialties:

Numerical Weather Prediction:


Research Interests:

  • Data Assimilation
  • Numerical Weather Prediction
  • Weather and Climate of Mars
  • Atmospheric Modeling
  • Ensemble Forecasting
  • Predictability
  • Statistical and Artificial Intelligence Applications


Selected Publications:

Greybush, S. J., H. E. Gillespie, and R. J. Wilson, 2019: Transient Eddies in the TES/MCS Ensemble Mars Atmosphere Reanalysis System (EMARS). Icarus, 317, 158-181, doi:10.1016/j.icarus.2018.07.001. (link)

Saslo, S., and S. J. Greybush, 2017: Prediction of Lake-Effect Snow using Convection-Allowing Ensemble Forecasts and Regional Data Assimilation. Wea. Forecasting, 32, 1727-1744, doi:10.1175/WAF-D-16-0206.1. (link)

Greybush, S. J., S. Saslo, and R. Grumm, 2017: Assessing the Ensemble Predictability of Precipitation Forecasts for the January 2015 and 2016 East Coast Winter storms. Wea. Forecasting, 32, 1057-1078, doi:10.1175/WAF-D-16-0153.1. (link)

Zhao, Y., S. J. Greybush, R. J. Wilson, R. N. Hoffman, and E. Kalnay, 2015: Impact of assimilation window length on diurnal features in a Mars atmospheric analysis. Tellus A, 67, 26042, doi: 10.3402/tellusa.v67.20642. (link)

Greybush, S. J., E. Kalnay, M. J. Hoffman, and R. J. Wilson, 2013: Identifying Martian atmospheric instabilities and their physical origins using bred vectors. Q. J. R. Meteorol. Soc., 139, 639-653, doi: 10.1002/qj.1990. (link)

Greybush, S. J., R. J. Wilson, R. N. Hoffman, M. J. Hoffman, T. Miyoshi, K. Ide, T. McConnochie, and E. Kalnay, 2012: Ensemble Kalman Filter Data Assimilation of Thermal Emission Spectrometer Temperature Retrievals into a Mars GCM. J. Geophys. Res., 117, E11008, doi: 10.1029/2012JE004097. (link)

Greybush, S. J., E. Kalnay, T. Miyoshi, K. Ide, and B. Hunt, 2011: Balance and Ensemble Kalman Filter Localization Techniques. Mon. Wea. Rev., 139, 511-522. (link)

Greybush, S. J., S. E. Haupt, and G. S. Young, 2008: The Regime Dependence of Optimally Weighted Ensemble Model Consensus Forecasts of Surface Temperature. Wea. Forecasting, 23, 1146-1161. (link)