Lightning characteristics and associated microphysical parameters in a strong thunderstorm with an extreme gale
Author:
Funder
Innovation Development Project of China Meteorological Administration
Open Project of KLME & CIC-FEMD
Research fund of Jiangsu Meteorological bureau
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11069-024-06692-0.pdf
Reference47 articles.
1. Bandholnopparat K, Sato M, Adachi T, Ushio T, Takahashi Y (2020) Estimation of the IC to CG ratio using JEM-GLIMS and ground‐based lightning network data. J Geophys Res: Atmos 125(23):e2019JD032195. https://doi.org/10.1029/2019JD032195
2. Barnes HC, Houze RA Jr (2014) Precipitation hydrometeor type relative to the mesoscale airflow in mature oceanic deep convection of the Madden-Julian Oscillation. J Geophys Res: Atmos 119(24):13–990. https://doi.org/10.1002/2014JD022241
3. Basarab BM, Rutledge SA, Fuchs BR (2015) An improved lightning flash rate parameterization developed from Colorado DC3 thunderstorm data for use in cloud-resolving chemical transport models. J Geophys Res: Atmos 120(18):9481–9499. https://doi.org/10.1002/2015JD023470
4. Calhoun KM, MacGorman DR, Ziegler CL, Biggerstaff MI (2013) Evolution of lightning activity and storm charge relative to dual-doppler analysis of a high-precipitation supercell storm. Mon Weather Rev 141(7):2199–2223. https://doi.org/10.1175/MWR-D-12-00258.1
5. Carey LD, Schultz EV, Schultz CJ, Deierling W, Petersen WA, Bain AL, Pickering KE (2019) An evaluation of relationships between radar-inferred kinematic and microphysical parameters and lightning flash rates in Alabama storms. Atmosphere 10(12):796. https://doi.org/10.3390/atmos10120796
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