Meteorological analysis of the tornado in Ciudad Acuña, Coahuila State, Mexico, on May 25, 2015

José F. León-Cruz, Noel Carbajal and Luis F. Pineda-Martínez ()
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José F. León-Cruz: Instituto Potosino de Investigación Científica y Tecnológica
Noel Carbajal: Instituto Potosino de Investigación Científica y Tecnológica
Luis F. Pineda-Martínez: Universidad Autónoma de Zacatecas

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2017, vol. 89, issue 1, No 21, 423-439

Abstract: Abstract Extreme meteorological conditions favor the development of severe storms and tornadoes that may have largely impacts on the population despite its relatively short life. Tornadic severe storms have been documented around the World. In Mexico (MEX), the study of the occurrence of tornadoes and severe storms is relatively new. In this research, we have selected an event of severe tornadic storm in Ciudad Acuña, Mexico. The storm was driven by a frontal system moving southward from USA converging with a warmer moist air flux from the Gulf of Mexico. The tornado strikes on the Northeast of Mexico, in Coahuila State, on May 25, 2015. Imagery of infrared channel from GOES 13 satellite and the presence of a hook echo in radar data of May 25, 2015, indicate a supercell structure. The maximum values of radial velocity were about −20 and 15 m s−1. In this study, the WRF model was used in order to simulate the mesoscale meteorological conditions of the tornado. Model simulations capture atmospheric features observed in Doppler radar. The simulated storm-relative helicity values were between 400 and 500 m2 s−2. The simulated convective available potential energy values were of 3000 J kg−1. These values were higher than values for convective storms, located over the region of Ciudad Acuña in Mexico and Del Rio in USA. The supercell was a result of high humidity and temperature gradients, conditioned by frontal activity and moisture flux intensifications from the Gulf of Mexico.

Keywords: Tornado event; Mesoscale modeling; Severe storm (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s11069-017-2972-6

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