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 GEP  Vol.7 No.4 , April 2019
Characteristics of Dry Cold Air Intrusion in a Typical Strong Storm
Abstract: Taking a typical strong storm in Guizhou on April 5, 2017 for example, the diagnosis analysis used the water vapor cloud and the initial field of EC thin grid, including physical quantity, surface and upper air meteorological observation, as well as radar observation data. For the environment parameter analysis, small CAPE value tended to underestimate storm intensity on potential forecast stage, strong vertical wind shear revealed the strong dry cold air was the important intensity factors of the storm. The water vapor cloud map can be used to monitor the most important features, the dry zone, the wet zone and the boundary between them. When dry intrusion is found, it can be used as one of the bases for the development of heavy rain. Dry cold air intrusion on high-level was traced by water vapor images. And in this process, the analyses revealed the role of dry cold air’s influence on intensity of the storm.
Cite this paper: Tang, Y. , Liao, B. and Wei, T. (2019) Characteristics of Dry Cold Air Intrusion in a Typical Strong Storm. Journal of Geoscience and Environment Protection, 7, 223-238. doi: 10.4236/gep.2019.74015.
References

[1]   Browing, K. A., & Golding, B. W. (1995). Mesoseale Aspects of a Dry Intrusion within a Vigorous Cyclone. Quarterly Journal of the Royal Meteorological Society, 121, 463-493.

[2]   Browning, K. A. (1997). The Dry Intrusion Perspective of Extra-Tropical Cyclone Development. Meteorological Applications, 4, 317-324.
https://doi.org/10.1017/S1350482797000613

[3]   Chakraborty, S., & Maitra, A. (2012). A Comparative Study of Cloud Liquid Water Content from Radiosonde Data at a Tropical Location. International Journal of Geosciences, 3, 44-49.
https://doi.org/10.4236/ijg.2012.31006

[4]   Chen, J., Li, X., Yu, Y. et al. (2017). Analysis of a Large-Scale Elevated Thunderstorm and Hail Weather Process in Tongren, Guizhou. Journal of Arid Meteorology, 35, 649-656.

[5]   Chen, X., Hao, Y., Zhou, H. et al. (2007). Analysis of Convective Parameters of a Rare Hail Weather Process. Scientia Meteorologica Sinica, 27, 335-341.

[6]   Johns, R. H., & Doswell, C. A. (1992). Severe Local Storms Forecasting. Weather Forecasting, 7, 588-612.

[7]   Lei, Y. (1986). Energy Weather (pp. 108-128). Beijing: Meteorological Press.

[8]   Leslie, R. (1998). Lemon on the Mesocyclone “Dryintrusion” and Tornadogenesis (pp. 752-755).

[9]   Li, D., Tang, R., Xiong, S. et al. (2011). Radar Characteristics and Immediate Prediction of Strong Hail and Short-Term Heavy Precipitation Weather. Meteorological Monthly, 37, 474-480.

[10]   Liu, Y., Shou, S., Jie, Y. et al. (2011). Diagnostic Analysis of the Influence of Thermal Inhomogeneous Field on a Hail Weather. Plateau Meteorology, 30, 226-234.

[11]   Qian, C., Zhang, J., Ying, D., & Lin, J. (2007). Diagnostic Analysis of a Strong Convective Weather Process in Jiangxi Province in April 2003. Quarterly Journal of Applied Meteorology, 18, 460-467.

[12]   Rezaei, M., & Motamedzadegan, A. (2015). The Effect of Plasticizers on Mechanical Properties and Water Vapor Permeability of Gelatin-Based Edible Films Containing Clay Nanoparticles. World Journal of Nano Science and Engineering, 5, 178-193.
https://doi.org/10.4236/wjnse.2015.54019

[13]   Wan, X., Zhou, M., Zeng, L. et al. (2017). Quantitative Conceptual Model Study and Trial Application Analysis of Spring Heavy Hail Weather in Guizhou. Guizhou Meteorology, 41, 1-7.

[14]   Wang, X., Zhong, Q., & Han, S. (2009). A Case Study of a Strong Convective Cloud Evolution and Super Monomer Structure in a Hail Weather. Plateau Meteorology, 28, 352-365.

[15]   Wu, J., & Yu, X. (2009). Overview of Doppler Weather Radar Detection and Early Warning Technology in Strong Hail Weather. Journal of Arid Meteorology, 27, 197-206.

[16]   Xu, X., Wang, N., Liu, R., Guo, D., & Hou, J. (2010). A Comparative Analysis of Two Strong Convective Hail Weather Processes in Shaanxi Province in 2006. Plateau Meteorology, 29, 447-460.

[17]   Yao, R., Tu, X., & Du, K. (2015). Variation Characteristics of Meteorological Elements in the Boundary Layer of Two Hail Processes. Plateau Meteorology, 34, 1677-1689.

[18]   Yu, X., Wang, Y., Chen, M., & Tan, X. (2005). A New Generation of Weather Radar and Strong Convective Weather Warning. Plateau Meteorology, 24, 456-464.

[19]   Yu, X., Yao, X., Xiong, T. et al. (2006). Principle and Business Application of Doppler Weather Radar (pp. 90-95). Beijing: Meteorological Publishing.

[20]   Yu, Y., & Yao, X. (2003). Research on Dry Intrusion and Its Application Progress. Acta Meteorologica Sinica, 66, 769-778.

[21]   Zhang, Y., Wang, X., & Chen, Y. (2012). An Improved 6S Code for Atmospheric Correction Based on Water Vapor Content. Advances in Remote Sensing, 1, 14-18.
https://doi.org/10.4236/ars.2012.11002

[22]   Zheng, Y., Li, Y., Cai, Q. et al. (2014). Analysis of Environmental Conditions and Supercell Evolution Characteristics of a Rare Strong Hail Process in Hainan. Heavy Rain Disaster, 33, 163-170.

[23]   Zhou, Y., Zhou, M., & Yuan, Y (2012). Characteristics of Doppler Radar Products in the Mountainous Areas of Guizhou. Guizhou Meteorology, 36, 40-43.

 
 
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