Jeffrey Snyder
Doppler Radar & Remote Sensing Research (DRARSR)
Job Title:Meteorologist
Affiliation:Federal
Email:Email hidden; Javascript is required.
Jeff is a research meteorologist and federal lead of the Doppler Radar and Remote Sensing Research team. His primary areas of research are (1) applications of polarimetric weather radar to cloud and precipitation microphysics as observed in nature and storm-scale numerical modeling and (2) studies of convective storm structure and evolution using real and simulated weather radar.
Before joining NSSL as a federal meteorologist in 2017, Jeff was a research scientist with the Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at the University of Oklahoma (2015-2017) and a post-doctoral research associate hosted by NSSL through the National Research Council's Research Associateship Program (NRC RAP; 2013-2015).
Degree (Ph.D, M.S, B.A, etc.) | Major Subject | University or College Name | Year (YYYY) (optional) |
---|---|---|---|
B.S. | Meteorology | University of Oklahoma | 2005 |
M.S. | Meteorology | University of Oklahoma | 2008 |
Ph.D. | Meteorology | University of Oklahoma | 2013 |
- Radar polarimetry
- Cloud and precipitation microphysics
- Convective storms and supercells
- Storm-scale numerical modeling
- Hail and hailstorms
- Tornadoes
Award Name | Year |
---|---|
Presidential Early Career Award for Scientists and Engineers | 2019 |
Snyder, J. C., H. B. Bluestein, G. Zhang, and S. J. Frasier, 2010: Attenuation correction and hydrometeor classification of high-resolution, X-band, dual-polarized mobile radar measurements in severe convective storms. J. Atmos. Oceanic Technol., 27, 1979–2001, https://doi.org/10.1175/2010JTECHA1356.1.
Snyder, J. C., H. B. Bluestein, V. Venkatesh, and S. J. Frasier, 2013: Observations of polarimetric signatures in supercells by an X-band mobile Doppler radar. Mon. Wea. Rev., 141, 3–29, https://doi.org/10.1175/MWR-D-12-00068.1.
Pazmany, A. L., J. B. Mead, H. B. Bluestein, J. C. Snyder, and J. B. Houser, 2013: A mobile rapid-scanning X-band polarimetric (RaXPol) Doppler radar system. J. Atmos. Oceanic Technol., 30, 1398–1413, https://doi.org/10.1175/JTECH-D-12-00166.1.
Bluestein, H. B., J. B. Houser, M. M. French, J .C. Snyder, G. D. Emmitt, I. PopStefanija, C. Baldi, and R. T. Bluth, 2014: Observations of the boundary layer near tornadoes and in supercells using a mobile, co-located, pulsed Doppler lidar and radar. J. Atmos. Oceanic Technol., 31, 302–325, https://doi.org/10.1175/JTECH-D-13-00112.1.
Snyder, J. C., and H. B. Bluestein, 2014: Some considerations for the use of mobile Doppler radar data for tornado intensity determination. Wea. Forecasting, 29, 799–827, https://doi.org/10.1175/WAF-D-14-00026.1.
2015: An observational study of the effects of dry air produced in dissipating convective storms on the predictability of severe weather. Weather and Forecasting, 30, 79–114, doi:10.1175/WAF-D-14-00065.1.
, ,2015: A multi-scale overview of the El Reno, Oklahoma, tornadic supercell of 31 May 2013. Weather and Forecasting, 30, 525–552, doi:10.1175/WAF-D-14-00152.1.
, , ,2015: Rapid-scan, polarimetric, Doppler radar observations of tornadogenesis and tornado dissipation in a tornadic supercell: the “El Reno, Oklahoma” storm of 24 May 2011. Monthly Weather Review, 143, 2685–2710, doi:10.1175/MWR-D-14-00253.1.
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2016: Doppler Radar Observations of Anticyclonic Tornadoes in Cyclonically Rotating, Right-Moving Supercells. Monthly Weather Review, 144, 1591–1616, doi:10.1175/MWR-D-15-0304.1.
, , , ,2016: Hydrometeor Mixing Ratio Retrievals for Storm-Scale Radar Data Assimilation: Utility of Current Relations and Potential Benefits of Polarimetry. Monthly Weather Review, 144, 2981–3001, doi:10.1175/MWR-D-15-0423.1.
, , , ,2016: A finescale radar examination of the tornadic debris signature and weak-echo reflectivity band associated with a large, violent tornado. Monthly Weather Review, 144, 4101–4130, doi:10.1175/MWR-D-15-0408.1.
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2017: A comparison of the finescale structures of a prefrontal wind-shift line and a strong cold front in the southern plains of the United States. Monthly Weather Review, 145, 3307–3330, doi:10.1175/MWR-D-16-0403.1.
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2018: The multiple-vortex structure of the El Reno, Oklahoma, tornado on 31 May 2013. Monthly Weather Review, 146, 2483–2502, doi:10.1175/MWR-D-18-0073.1.
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2019: Tornadogenesis and early tornado evolution in the El Reno, Oklahoma, supercell on 31 May 2013. Monthly Weather Review, 147, 2045–2066, doi:10.1175/MWR-D-18-0338.1.
, , , ,2019: Tracking and characterization of convective cells through their maturation into stratiform storm elements using polarimetric radar and lightning detection. Atmospheric Research, Volume 226, 192–207, doi:10.1016/j.atmosres.2019.04.015.
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2020: Statistical and Empirical Relationships between Tornado Intensity and Both Topography and Land Cover Using Rapid-Scan Radar Observations and a GIS. Monthly Weather Review, 148, 4313–4338, doi:10.1175/MWR-D-19-0407.1.
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2022: Additional Evaluation of the Spatiotemporal Evolution of Rotation during Tornadogenesis Using Rapid-Scan Mobile Radar Observations. Monthly Weather Review, 150, 1639–1666, doi:10.1175/MWR-D-21-0227.1.
, , , , , ,2023: Improving Polarimetric Radar-based Drop Size Distribution Retrieval and Rain Estimation using Deep Neural Network. Journal of Hydrometeorology, 24, 2057–2073, doi:10.1175/JHM-D-22-0166.1.
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