EGU22-147
https://doi.org/10.5194/egusphere-egu22-147
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Study of Deep Convection with Presence of Overshooting Tops During RELAMPAGO Campaign

Inés Cecilia Simone1,2,3, Paola Salio1,2,3, Juan Ruiz1,2,3, and Luciano Vidal4
Inés Cecilia Simone et al.
  • 1Department of Atmospheric and Oceanic Sciences - Faculty of Exact and Natural Sciences, University of Buenos Aires (UBA), Buenos Aires City, Argentina.
  • 2National Scientific and Technical Research Council (CONICET) – Center of Oceanic and Atmospheric Research (CIMA), University of Buenos Aires (UBA), Buenos Aires City, Argentina.
  • 3CNRS – IRD – CONICET – UBA. French Argentinean Institute for the Study of Climate and its Impacts (IRL3351 IFAECI), University of Buenos Aires (UBA), Buenos Aires City, Argentina.
  • 4National Weather Service, Buenos Aires City, Argentina.

Thunderstorms in southeastern South America (SESA) often reach extreme intensity, duration, and vertical extension. Diverse techniques have been proposed to identify severe storm signatures in satellite images, such as overshooting tops (OTs). Previous studies have shown a large correlation between OTs and the occurrence of severe weather such as large hail, damaging winds, and tornadoes. In particular, in SESA, deep convection systems initiation is sometimes related to elevated topography such as Sierras de Córdoba and the Andes mountain range. These unique meteorological and geographical conditions motivated the RELAMPAGO-CACTI field campaign, which was conducted to study the storms in this region.

This study aims to characterize the occurrence of OTs in SESA through their spatial distribution as well as their diurnal and seasonal cycles.  An OT analysis is presented using an OT detection algorithm (known as OT-DET) applied to GOES16 satellite data from October 2018 to March 2019. OT-DET sensitivity is evaluated considering two alternatives of tropopause temperature determination and different cloud anvil temperature thresholds. OT-DET is validated against an OT occurrence database generated through an expert detection of OTs using GOES16 visible and IR images. The results of this validation as well as the OT characterization will be described at the conference. 

How to cite: Simone, I. C., Salio, P., Ruiz, J., and Vidal, L.: Study of Deep Convection with Presence of Overshooting Tops During RELAMPAGO Campaign, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-147, https://doi.org/10.5194/egusphere-egu22-147, 2022.

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