Research Interests:
- Data Assimilation
- Numerical Weather
- PredictionWeather and Climate of Mars
- Atmospheric Modeling
- Ensemble Forecasting
- Predictability
- Statistical and Artificial Intelligence Applications
Center for Advanced Data Assimilation and Predictability Techniques (ADAPT)
Selected Publications:
Gillespie, H. E., S. J. Greybush, and R. J. Wilson, 2020: An investigation of the encirclement of Mars by dust in the 2018 global dust storm using the Ensemble Mars Atmosphere Reanalysis System (EMARS). J. Geophys. Res. Planets, 125, e2019JE006106, doi:10.1029/2019JE006106. (link)
Greybush, S. J., E. Kalnay, R. J. Wilson, R. N. Hoffman, T. Nehrkorn, M. Leidner, J. Eluszkiewicz, H. E. Gillespie, M. Wespetal, Y. Zhao, M. Hoffman, P. Dudas, T. McConnochie, A. Kleinboehl, D. Kass, D. McCleese, and T. Miyoshi, 2019: The Ensemble Mars Atmosphere Reanalysis System (EMARS) Version 1.0. Geoscience Data Journal, 6, 2, 137-150, doi:10.1002/gdj3.77. (link)
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)