Steven J. Greybush, Ph.D.
Affiliations: | 2011 | Atmospheric and Oceanic Sciences | University of Maryland, College Park, College Park, MD |
Area:
Atmospheric Sciences, MeteorologyGoogle:
"Steven Greybush"Parents
Sign in to add mentorEugenia Kalnay | grad student | 2011 | University of Maryland (MathTree) | |
(Mars weather and predictability: Modeling and ensemble data assimilation of spacecraft observations.) |
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Publications
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Zhang Y, Sieron SB, Lu Y, et al. (2021) Ensemble-Based Assimilation of Satellite All-Sky Microwave Radiances Improves Intensity and Rainfall Predictions for Hurricane Harvey (2017). Geophysical Research Letters. 48: e2021GL096410 |
Gillespie HE, Greybush SJ, Wilson RJ. (2020) An Investigation of the Encirclement of Mars by Dust in the 2018 Global Dust Storm Using EMARS Journal of Geophysical Research. 125 |
Greybush SJ, Kalnay E, Wilson RJ, et al. (2019) The Ensemble Mars Atmosphere Reanalysis System (EMARS) Version 1.0. Geoscience Data Journal. 6: 137-150 |
Eipper DT, Greybush SJ, Young GS, et al. (2019) Lake-Effect Snowbands in Baroclinic Environments Weather and Forecasting. 34: 1657-1674 |
Greybush SJ, Gillespie HE, Wilson RJ. (2019) Transient eddies in the TES/MCS Ensemble Mars Atmosphere Reanalysis System (EMARS) Icarus. 317: 158-181 |
Saslo S, Greybush SJ. (2017) Prediction of Lake-Effect Snow Using Convection-Allowing Ensemble Forecasts and Regional Data Assimilation Weather and Forecasting. 32: 1727-1744 |
Greybush SJ, Saslo S, Grumm R. (2017) Assessing the Ensemble Predictability of Precipitation Forecasts for the January 2015 and 2016 East Coast Winter Storms Weather and Forecasting. 32: 1057-1078 |
Kotsuki S, Greybush SJ, Miyoshi T. (2017) Can We Optimize the Assimilation Order in the Serial Ensemble Kalman Filter? A Study with the Lorenz-96 Model Monthly Weather Review. 145: 4977-4995 |
Yang X, Sharma S, Siddique R, et al. (2017) Postprocessing of GEFS Precipitation Ensemble Reforecasts over the U.S. Mid-Atlantic Region Monthly Weather Review. 145: 1641-1658 |
Navarro T, Forget F, Millour E, et al. (2017) The Challenge of Atmospheric Data Assimilation on Mars Earth and Space Science. 4: 690-722 |