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Original Paper Issue
On the Tornadic and Nontornadic Mesovortices within a Quasi-Linear Convective System Observed by Dual-Polarization Radar in Northeast China
Journal of Meteorological Research 2026, 40(2): 554-576
Published: 18 April 2026
Abstract Collect

Limited observations have resulted in few studies examining mesovortices within quasi-linear convective systems (QLCSs) in China, especially in Northeast China, where the polarimetric signatures of tornadic versus nontornadic vortices remain unclear. This study examined 12 mesovortices (including one that produced a tornado) within a QLCS that occurred on 18 August 2020 over the Liaohe Plain, Northeast China, using conventional observations, reanalysis data, and Doppler weather radar observations. The QLCS was associated with notable conditional instability and moderate-to-strong low-level shear under the influence of a cold vortex. Observed extreme winds, reaching up to 41.5 m s−1, were located north of the rear-inflow jet (RIJ) core, a pattern consistent with mesovortices along the gust front rather than those at the bow echo apex. The tornadic mesovortex exhibited faster propagation speeds and stronger low-level rotation compared to its nontornadic counterparts. Notably, dual-polarization radar parameters indicated a marked increase in mid-level specific differential phase (KDP) and lower average differential reflectivity (ZDR) for the tornadic mesovortex. Hydrometeor identification (HID) analysis further revealed that above the wet-bulb zero (WBZ) level, the tornadic mesovortex contained a higher proportion of hail, whereas below the WBZ, it exhibited a greater concentration of smaller raindrop particles. The Eulerian vorticity budget analysis identified the stretching term as the largest contributor to vortex intensification, especially in its initial stage. The tornadic mesovortex originated as a bookend vortex at the intersection of two QLCS segments, with a transient northern anticyclonic vortex observed in its immediate vicinity during the convective merger process. These findings provide valuable observational context and conceptual models on the structure and evolution of mesovortices within QLCSs, offering guidance for improving the forecasting of tornadic and nontornadic mesovortices in QLCSs over Northeast China.

Original Paper Issue
Microphysical Insights into a Tornadic Supercell from Dual-Polarization Radar Observations in Jiangsu, China on 14 May 2021
Journal of Meteorological Research 2024, 38(2): 303-320
Published: 22 November 2023
Abstract Collect

Tornadoes are incredibly powerful and destructive natural events, yet the microphysical characteristics of the parent storm and its effects on tornadogenesis remain unclear. This study analyzed polarization radar data of a tornadic supercell that occurred in Jiangsu Province of China on 14 May 2021, in comparison with another tornadic supercell and two non-tornadic supercells that occurred in the same region in 2023. The two tornadic supercells exhibited lower differential reflectivity (ZDR) in the hook echo region compared with the non-tornadic supercells, indicating smaller median drop sizes. A distinct increase in ZDR from the melting of frozen hydrometeors, observed between 2.5- and 4.0-km altitude in the non-tornadic storms, was absent in the tornadic cases. The non-tornadic supercells also displayed substantially higher specific differential phase (KDP) below the melting level, likely aroused from enhanced melting and cooling. These findings suggest fundamental microphysical contrasts between tornadic and non-tornadic supercells. Specifically, tornadic supercells have smaller droplets and may reduce melting in hook echoes. Moreover, greater separation between the ZDR arc and the KDP foot was observed during tornadogenesis. The vertical gradient of KDP related to the cooling pool strength of the hook echo, regulating rear-flank downdraft thermodynamics. Despite the limited number of cases investigated, the findings of this study indicate that monitoring ZDR, KDP, and drop size distribution trends could assist with tornado prediction and warnings.

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