GridRad-Severe - Three-Dimensional Gridded NEXRAD WSR-88D Radar Data for Severe Events
d841006
| DOI: 10.5065/2B46-1A97
Citation Statistics for this Dataset:
This dataset has been cited 7 times. See a list of published works that have cited this dataset Published works that have cited this dataset:
2024
Logan, T., J. Hale, S. Butler, B. Lawrence, and S. Gardner, 2024: Occurrence of Rare Lightning Events During Hurricane Nicholas (2021). Earth and Space Science, 11(12), https://doi.org/10.1029/2024EA003733
Murphy, K. M., J. R. Mecikalski, K. M. Bedka, J. W. Cooney, and C. R. Homeyer, 2024: Characterization of Reflectance Signatures Within Above Anvil Cirrus Plumes in GOES-16 Infrared and Visible Imagery. Journal of Geophysical Research: Atmospheres, 129(23), https://doi.org/10.1029/2024JD041076
2023
Homeyer, C. R., E. M. Murillo, and M. R. Kumjian, 2023: Relationships between 10 Years of Radar-Observed Supercell Characteristics and Hail Potential. Monthly Weather Review, 151(10), 2609-2632, https://doi.org/10.1175/MWR-D-23-0019.1
Murphy, A. M., C. R. Homeyer, and K. Q. Allen, 2023: Development and Investigation of GridRad-Severe, a Multiyear Severe Event Radar Dataset. Monthly Weather Review, 151(9), 2257-2277, https://doi.org/10.1175/MWR-D-23-0017.1
Murphy, A. M., and C. R. Homeyer, 2023: Comparison of Radar-Observed Tornadic and Nontornadic MCS Cells Using Probability-Matched Means. Journal of Applied Meteorology and Climatology, 62(10), 1371-1388, https://doi.org/10.1175/JAMC-D-23-0070.1
Scarino, B., K. Itterly, K. Bedka, C. R. Homeyer, J. Allen, S. Bang, and D. Cecil, 2023: Deriving Severe Hail Likelihood from Satellite Observations and Model Reanalysis Parameters Using a Deep Neural Network. Artificial Intelligence for the Earth Systems, 2(4), https://doi.org/10.1175/aies-d-22-0042.1
2022
Sun, N., Z. Zhou, Q. Li, and J. Jing, 2022: Three-Dimensional Gridded Radar Echo Extrapolation for Convective Storm Nowcasting Based on 3D-ConvLSTM Model. Remote Sensing, 14(17), 4256, https://doi.org/10.3390/rs14174256
