Results 1 to 10 of about 217,353 (220)

Disdrometer, Polarimetric Radar, and Condensation Nuclei Observations of Supercell and Multicell Storms on 11 June 2018 in Eastern Nebraska [PDF]

open access: yesAtmosphere, 2020
Disdrometer and condensation nuclei (CN) data are compared with operational polarimetric radar data for one multicell and one supercell storm in eastern Nebraska on 11 June 2018.
Matthew Van Den Broeke
exaly   +4 more sources

Effects of Initial-Boundary Conditions on the Simulation of a Supercell Storm

open access: yesGaoyuan qixiang, 2023
To understand the impacts and mechanisms of initial-boundary conditions on the simulation of meso- and micro-scale weather system, a supercell storm episode occurred in the Capital Airport on August 9, 2021.This study simulated by WRF (version 4.3) model
Siqi WANG, Wentao ZHANG, Chenghai WANG
doaj   +2 more sources

Evaluating Bunkers' storm motion of hail-producing supercells and their storm-relative helicity in Germany

open access: yesMeteorologische Zeitschrift, 2023
This paper presents a statistical analysis of the motion of hail-producing supercells in Germany based on data from a radar-based cell detection and tracking algorithm and a mesocyclone detection algorithm.
Mathis Tonn   +2 more
doaj   +4 more sources

Radar Characteristics of Straight-line Damaging Wind Producing Supercell Storms

open access: yes应用气象学报, 2022
Based on S-band Doppler weather radar data and damaging wind gust records, 56 damaging straight-line winds events from 2002 to 2020 above 25 m·s-1 caused by supercell storms are investigated.
Wang Yitong, Wang Xiuming, Yu Xiaoding
doaj   +1 more source

Analysis of early warning of extreme downbursts induced by two supercell storms in the border area between Hebei and Henan Provinces

open access: yes暴雨灾害, 2022
A severe convective weather event that was caused by multiple supercell storms occurred in the border area between the Hebei and Henan provinces at 16-22 Beijing Time of 31 July 2021.
Yitong WANG, Xiuming WANG, Xiaoding YU
doaj   +1 more source

Characteristics of a supercell storm with long life cycle based on analysis of weather radar data

open access: yes暴雨灾害, 2021
Using datasets of routine upper-air and surface weather observations,surface automatic weather station,Doppler weather radar at Shijiazhuang,dual-polarization radar at Raoyang and other relevant data,we have conducted a detailed analysis on the ...
Ruimin CHEN   +3 more
doaj   +1 more source

Structural Characteristics and Developmental Analysis of the Rare Hail Supercell in the Northeast Yunnan-Guizhou Plateau

open access: yesGaoyuan qixiang, 2023
Using conventional high-altitude detection, automatic weather station observations, radar detection and ERA-Interim Reanalysis, and the numerical simulation model on May 4, 2020, in the northeast of Yunnan-Guizhou plateau rare large hailstones (70 mm ...
Jing YANG   +4 more
doaj   +1 more source

Comparative Analysis on Dual Polarization Features of Two Severe Hail Supercells

open access: yes应用气象学报, 2022
Using S-band dual-polarization weather radar data, sounding and ground meteorological observations, and disaster investigation reports, the similarity and difference of dual polarization parameters between Lixian and Zhangqiu supercells with hails above ...
Diao Xiuguang, Li Fang, Wan Fujing
doaj   +1 more source

Multi-Scale Interaction between a Squall Line and a Supercell and Its Impact on the Genesis of the “0612” Gaoyou Tornado

open access: yesAtmosphere, 2022
The interaction between a squall line and a supercell and its impact on the genesis of a tornado that occurred in Gaoyou, Jiangsu Province, China on 12 June 2020 were analyzed using multi-source observations.
Jiajia Tang   +3 more
doaj   +1 more source

Relationship between level of neutral buoyancy and dual-Doppler observed mass detrainment levels in deep convection [PDF]

open access: yesAtmospheric Chemistry and Physics, 2013
Although it is generally accepted that the level of neutral buoyancy (LNB) is only a coarse estimate of updraft depth, the LNB is still used to understand and predict storm structure in both observations and modeling.
G. L. Mullendore   +4 more
doaj   +1 more source

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