Results 1 to 10 of about 2,953 (146)

A Thunderstorm Gale Forecast Method Based on the Objective Classification and Continuous Probability

open access: yesAtmosphere, 2022
Potential prediction is an important research content of thunderstorm gale weather forecast, and it is still a challenge because the environmental field of thunderstorm gale presents different characteristics under different weather conditions. Using the
Yinglian Guo   +6 more
doaj   +4 more sources

Synoptic classification and statistical characteristics of physical diagnoses for thunderstorm gale in Shandong Province

open access: yes暴雨灾害, 2021
In this study, we divide the region covering Shandong Province into inland and peninsula area. By using the surface meteorological observation and sounding data from the MICAPS, we have conducted a classification to the thunderstorm gale events occurred ...
Wenli HUA   +5 more
doaj   +2 more sources

Analysis of synoptic situation and environmental parameters of thunderstorm gales in Hainan

open access: yes暴雨灾害, 2022
In this study we analyzed the intensity, temporal and spatial distribution, circulation situation and environmental parameters of thunderstorm gale during 2014-2018 in Hainan using regional encrypted automatic station data and sounding data at Haikou ...
Yuanhui KE   +3 more
doaj   +2 more sources

Analysis of mesoscale characteristics of a thunderstorm gale in Chengdu

open access: yes暴雨灾害, 2019
Based on data from conventional observations, intensive automatic weather stations, automatic station 5-minute, weather radar and wind profile radar network, a thunderstorm gale in Chengdu during the night of 27 July 2017 was analyzed.
Qiankui TANG, Tao ZHANG
doaj   +2 more sources

Analysis of supercell and meso-scale convective system causing an extreme thunderstorm gale in Tianjin on 25 June 2020

open access: yes暴雨灾害, 2023
An extreme thunderstorm gale event (hereinafter referred to as the "6.25" event) occurred in Tianjin on 25 June 2020. Based on the intensive stational data and the data from Doppler weather radar, wind profile radar, microwave radiometer, and VDRAS ...
Xiaolei SUN   +5 more
doaj   +2 more sources

Analysis on mesoscale characteristics and causes of an extreme thunderstorm gale event in Jiangxi

open access: yes暴雨灾害, 2019
Using datasets of conventional observations, regional automatic weather station (AWS), Doppler weather radar, wind profile radar and GFS reanalysis with 0.5°×0.5° resolution, we have conducted analysis on the mesoscale characteristics and cause of an ...
Yunhui CHEN   +4 more
doaj   +2 more sources

Analysis of environmental condition and convective storm evolution of a thunderstorm gale event under cold vortex in Hebei

open access: yes暴雨灾害, 2020
A regional thunderstorm gale weather event occurred in central and southern Hebei on 9 July 2017. It is a typical severe convective weather with the cold advection forcing in upper air.
Xiaoliang YANG   +3 more
doaj   +2 more sources

Spatial-temporal distribution and environmental parameter characteristics for different types of thunderstorm gales in Hubei Province

open access: yes暴雨灾害, 2022
Based on conventional observation data, NCEP reanalysis data, lightning locating data and radar data, we have conducted the analysis on weather types, spatial-temporal distribution and environment condition of thunderstorm gales in Hubei from 2007 to ...
Huihong WEI   +5 more
doaj   +2 more sources

Characteristics of Environmental Parameters of Compound and Single Type Severe Convection in Hunan

open access: yesAtmosphere, 2022
Based on the multi-source observation data and the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis data in Hunan from 2002 to 2021, this study statistically analyzes the climatic ...
Jia Tang   +5 more
doaj   +1 more source

Development of Basic Dataset of Severe Convective Weather for Artificial Intelligence Training

open access: yes应用气象学报, 2021
Deep learning shows great potential in severe convective weather nowcasting. The establishment of deep learning model is inseparable from a large number of training and learning, which is in terms of large capacity and high-quality dataset.
Liu Na   +5 more
doaj   +1 more source

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