Stephen R. Guimond
Office: Office: Phenix 119E and Harbor Center
Ph.D. Atmospheric Science, Florida State University 2010
Professional Experience and Research
Dr. Guimond earned his Bachelor of Science degree in Atmospheric Science from Iowa State University and his M.S. and Ph.D. degrees in Atmospheric Science from Florida State University. From 2010 – 2023, Dr. Guimond worked at NASA Goddard Space Flight Center (GSFC) in the Mesoscale Atmospheric Processes Laboratory in various roles. From 2010 – 2012, he was awarded a NASA Postdoctoral Fellowship and from 2012 – 2023 he held joint appointments at the University of Maryland (College Park and Baltimore County) as a research professor while working at NASA GSFC. Dr. Guimond earned several awards while working at NASA GSFC for his science, software, and algorithm development including the Robert H. Goddard award for his contributions to the success of the high-altitude airborne radar group.
In the Fall of 2023, Dr. Guimond joined the Department of Atmospheric and Planetary Sciences (APS) at Hampton University (HU) as an associate professor and is the new director of the HU Severe Weather Research Center (SWRC). In this role, Dr. Guimond will develop science, instrumentation and modeling efforts to understand the fundamental physics of extreme weather and novel applications of the SWRC infrastructure to problems associated with predicting the weather.
Dr. Guimond’s expertise is in the fluid dynamics of extreme weather (e.g., hurricanes, winter storms and wildfires) and the various tools used to address science questions within this scientific domain. He has particular interests in the theory of radar systems (spaceborne, airborne and ground-based platforms) and computational models (numerical methods and sub-grid-scale physics) for studying extreme weather.
Recent Publications (2020-present)
^Student advised by Prof. Guimond
*Indicates co-first authorship
Protzko^, D.*, S.R> Guimond*, C. Jackson, J. Sapp, Z. Jelenak and P. Chang, 2023: Documenting coherent turbulent structures in the boundary layer of intense hurricanes through wavelet analysis on IWRAP and SAR data. IEEE Trans. Geosci. Remote Sens., vol. 61, pp. 1-16, 2023, doi: 10.1109/TGRS.2023.3305998.
2. Guimond, S. 2023. ER-2 X-band Radar (EXRAD) 3D Winds IMPACTS. Dataset available online from the NASA Global Hydrometeorology Resource Center DAAC, Huntsville, Alabama, U.S.A. DOI: http://dx.doi.org/10.5067/IMPACTS/EXRAD/DATA201.
3. Heymsfield, G.M., L. Li, M. McLinden, L. Liao, C. Helms and S. R. Guimond (2023). Advances in Weather Radar and Applications, edited by V.N. Bringi, M. Thurai, and K.V. Mishra. NASA High Altitude Airborne Weather Radars (Vol. 1, pp. XX – XX), in press.
4. R. Guimond, J. Reisner and M. Dubey, 2023: The dynamics of megafire smoke plumes in climate models: Why a converged solution matters for physical interpretations. Journal of Advances in Modeling Earth Systems, 15, e2022MS003432. https://doi.org/10.1029/2022MS003432
5. D’Angelo, G., S. R. Guimond, J. Reisner, D.A. Peterson and M. Dubey, 2022. Contrasting stratospheric smoke mass and lifetime from 2017 Canadian and 2019/2020 Australian megafires: Global simulations and satellite observations. Journal of Geophysical Research: Atmospheres,127 (10). https://doi.org/10.1029/2021JD036249
6. Hasan^, M.B.,S. R. Guimond, M. Yu, F.X. Giraldo and S. Reddy, 2022. The effects of numerical dissipation on hurricane rapid intensification with observational heating. Journal of Advances in Modeling Earth Systems, 14 (8), http://dx.doi.org/10.1029/2021MS002897
7. Sroka^, S. and S. R. Guimond, 2021. Organized kinetic energy backscatter in the hurricane boundary layer from radar measurements. Journal of Fluid Mechanics, 924, A21. doi:10.1017/jfm.2021.632
8. Helms, C. N., M. McLinden, G. M. Heymsfield, and S. R. Guimond, 2020. “Reducing Errors in Velocity-Azimuth Display (VAD) Wind and Deformation Retrievals from Airborne Doppler Radars in Convective Environments.” Journal of Atmospheric and Oceanic Technology , 2251–2266 [https://doi.org/10.1175/JTECH-D-20-0034.1