37 results on '"Snyder, Jeffrey C."'
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2. Improving Polarimetric Radar-Based Drop Size Distribution Retrieval and Rain Estimation Using a Deep Neural Network.
3. Observed Bulk Hook Echo Drop Size Distribution Evolution in Supercell Tornadogenesis and Tornadogenesis Failure
4. Using ZDR Columns in Forecaster Conceptual Models and Warning Decision-Making
5. Statistical and Empirical Relationships between Tornado Intensity and Both Topography and Land Cover Using Rapid-Scan Radar Observations and a GIS
6. An Analysis of an Ostensible Anticyclonic Tornado from 9 May 2016 Using High-Resolution, Rapid-Scan Radar Data
7. Rapid-Update Radar Observations of ZDR Column Depth and Its Use in the Warning Decision Process
8. Tornadogenesis and Early Tornado Evolution in the El Reno, Oklahoma, Supercell on 31 May 2013
9. Rapid-Scan Radar Observations of an Oklahoma Tornadic Hailstorm Producing Giant Hail
10. Using ZDR Columns in Forecaster Conceptual Models and Warning Decision-Making.
11. Applications of a Spatially Variable Advection Correction Technique for Temporal Correction of Dual-Doppler Analyses of Tornadic Supercells
12. The Multiple-Vortex Structure of the El Reno, Oklahoma, Tornado on 31 May 2013
13. Relationship between Aerosols, Hail Microphysics, and ZDR Columns
14. In Situ and Radar Observations of the Low Reflectivity Ribbon in Supercells during VORTEX2
15. Assimilation of ZDR Columns for Improving the Spinup and Forecast of Convective Storms in Storm-Scale Models: Proof-of-Concept Experiments
16. An Evaluation of Radar-Based Tornado Track Estimation Products by Oklahoma Public Safety Officials
17. 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
18. Simulations of Polarimetric, X-Band Radar Signatures in Supercells. Part II: ZDR Columns and Rings and KDP Columns
19. Simulations of Polarimetric, X-Band Radar Signatures in Supercells. Part I: Description of Experiment and Simulated ρhv Rings
20. A Finescale Radar Examination of the Tornadic Debris Signature and Weak-Echo Reflectivity Band Associated with a Large, Violent Tornado
21. Hydrometeor Mixing Ratio Retrievals for Storm-Scale Radar Data Assimilation: Utility of Current Relations and Potential Benefits of Polarimetry
22. Aerial Damage Survey of the 2013 El Reno Tornado Combined with Mobile Radar Data
23. Doppler Radar Observations of Anticyclonic Tornadoes in Cyclonically Rotating, Right-Moving Supercells
24. A ZDR Column Detection Algorithm to Examine Convective Storm Updrafts
25. Automated Detection of Polarimetric Tornadic Debris Signatures Using a Hydrometeor Classification Algorithm
26. Assimilation of ZDR Columns for Improving the Spinup and Forecast of Convective Storms in Storm-Scale Models: Proof-of-Concept Experiments.
27. Rapid-Scan, Polarimetric, Doppler Radar Observations of Tornadogenesis and Tornado Dissipation in a Tornadic Supercell: The “El Reno, Oklahoma” Storm of 24 May 2011*
28. A Multiscale Overview of the El Reno, Oklahoma, Tornadic Supercell of 31 May 2013
29. An Observational Study of the Effects of Dry Air Produced in Dissipating Convective Storms on the Predictability of Severe Weather
30. Simulations of Polarimetric, X-Band Radar Signatures in Supercells. Part I: Description of Experiment and Simulated ρhv Rings.
31. Simulations of Polarimetric, X-Band Radar Signatures in Supercells. Part II: ZDR Columns and Rings and KDP Columns.
32. Some Considerations for the Use of High-Resolution Mobile Radar Data in Tornado Intensity Determination
33. Observations of the Boundary Layer near Tornadoes and in Supercells Using a Mobile, Collocated, Pulsed Doppler Lidar and Radar
34. A Mobile Rapid-Scanning X-band Polarimetric (RaXPol) Doppler Radar System
35. Observations of Polarimetric Signatures in Supercells by an X-Band Mobile Doppler Radar
36. A Z DR Column Detection Algorithm to Examine Convective Storm Updrafts.
37. Attenuation Correction and Hydrometeor Classification of High-Resolution, X-band, Dual-Polarized Mobile Radar Measurements in Severe Convective Storms
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