2011Unpublished venueRequires access

Analysis of the 3 June 2008 Henan Severe Convection Event with Ingredients Based Method

Zhen Wu

Open publisher page 0 citations

Abstract

By using conventional observation data,obit meteorological satellite cloud pictures,Doppler weather radar and NCEP data the paper adopted forecast method(ingredients method) based on component to analyze severe convective weather of thunderstorm and gale that happened in the afternoon of June 3, 2008 in east central Henan.Combined with sounding,vapor cloud map and Doppler weather radar echo maps that based on the distribution of temperature,moisture and wind on the 500 hPa,700 hPa,850 hPa and surface map in the morning of June 3,2008 the paper analyzed several severe convective weather components of stratification stability,water vapor,lifting triggered,vertical wind shear and tropospheric dry layer.The results show that Henan convective weather area was in the environment of stronger conditional instability,intense deep layer(from surface to 500 hPa) vertical wind shear and obvious high dry stratospheric layer.The environment was in favor of producing and developing highly organized super cell that leading to thunderstorm,strong wind and hail weather.The combined action of surface front,mesoscale convergence line and sub-synoptic scale cold vortex accompanied with positive vorticity advection resulted in rising airflow which made thunderstorm produce first in south central Shanxi.The thunderstorm moved towards southeast from the Taihang Mountain to Henan and developed vigorously in the advantageous environment. Full of using the main thinking of ingredients method the short-time forecasting of the severe convective process can forecast correctly ahead of several hours which is supported by current observation conditions together with the forecaster's experiences.

About this research paper

What this paper is about

By using conventional observation data,obit meteorological satellite cloud pictures,Doppler weather radar and NCEP data the paper adopted forecast method(ingredients method) based on component to analyze severe convective weather of thunderstorm and gale that happened in the afternoon of June 3, 2008 in east central Henan.Combined with sounding,vapor cloud map and Doppler weather radar echo maps that based on the distribution of temperature,moisture and wind on the 500 hPa,700 hPa,850 hPa and surface map in the morning of June 3,2008 the paper analyzed several severe convective weather components of stratification stability,water vapor,lifting triggered,vertical wind shear and tropospheric dry layer.The results show that Henan convective weather area was in the environment of stronger conditional instability,intense deep layer(from surface to 500 hPa) vertical wind shear and obvious high dry stratospheric layer.The environment was in favor of producing and developing highly organized super cell that leading to thunderstorm,strong wind and hail weather.The combined action of surface front,mesoscale convergence line and sub-synoptic scale cold vortex accompanied with positive vorticity advection resulted in rising airflow which made thunderstorm produce first in south central Shanxi.The thunderstorm moved towards southeast from the Taihang Mountain to Henan and developed vigorously in the advantageous environment. Full of using the main thinking of ingredients method the short-time forecasting of the severe convective process can forecast correctly ahead of several hours which is supported by current observation conditions together with the forecaster's experiences.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

By using conventional observation data,obit meteorological satellite cloud pictures,Doppler weather radar and NCEP data the paper adopted forecast method(ingredients method) based on component to analyze severe convective weather of thunderstorm and gale that happened in the afternoon of June 3, 2008 in east central Henan.Combined with sounding,vapor cloud map and Doppler weather radar echo maps that based on the distribution of temperature,moisture and wind on the 500 hPa,700 hPa,850 hPa and surface map in the morning of June 3,2008 the paper analyzed several severe convective weather components of stratification stability,water vapor,lifting triggered,vertical wind shear and tropospheric dry layer.The results show that Henan convective weather area was in the environment of stronger conditional instability,intense deep layer(from surface to 500 hPa) vertical wind shear and obvious high dry stratospheric layer.The environment was in favor of producing and developing highly organized super cell that leading to thunderstorm,strong wind and hail weather.The combined action of surface front,mesoscale convergence line and sub-synoptic scale cold vortex accompanied with positive vorticity advection resulted in rising airflow which made thunderstorm produce first in south central Shanxi.The thunderstorm moved towards southeast from the Taihang Mountain to Henan and developed vigorously in the advantageous environment. Full of using the main thinking of ingredients method the short-time forecasting of the severe convective process can forecast correctly ahead of several hours which is supported by current observation conditions together with the forecaster's experiences.

Key concepts: Thunderstorm, Wind shear, Environmental science, Meteorology, Mesoscale meteorology, Climatology, Depth sounding, Doppler radar

Related papers

Back to paper searchBrowse research topicsOriginal source
Analysis of the 3 June 2008 Henan Severe Convection Event with Ingredients Based Method — Research Paper | ScholarLens