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

Greybush, Steven 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, Steven 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, Steven J., 2011: Mars Weather and Predictability: Modeling and Ensemble Data Assimilation of Spacecraft Observations. Ph.D. Dissertation, University of Maryland, 161 pp. (link)

Greybush, Steven 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)

Hoffman, M. J., S. J. Greybush, R. J. Wilson, G. Gyarmati, R. N. Hoffman, E. Kalnay, K. Ide, E. Kostelich, T. Miyoshi, and I. Szunyogh, 2010: An ensemble Kalman filter data assimilation system for the Martian atmosphere: Implementation and simulation experiments. Icarus, 209, 470-481. (link)

Greybush, Steven 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)

Root, B., P. Knight, G. Young, S. Greybush, R. Grumm, R. Holmes, and J. Ross, 2007: A Fingerprinting Technique for Major Weather Events. J. Appl. Meteor. Climatol., 46, 1053-1066. (link)