Lightning Alert: lightning risk warning

• Grant number: 20/05692-1
• Support Opportunities: Research Grants - Innovative Research in Small Business - PIPE
• Duration: May 01, 2021 - January 31, 2022
• Field of knowledge: Physical Sciences and Mathematics - Geosciences - Meteorology
• Principal Investigator: Moacir Lacerda
• Grantee: Moacir Lacerda
• Host Company: EPL Empresa Produtora de Inovações Tecnológicas Ltda
• CNAE: Pesquisa e desenvolvimento experimental em ciências físicas e naturais
• City: São Paulo
• Associated grant(s): 22/13044-5 - Lightning Alert: emitting an alert of the risk of a cloud-to-ground lightning strike (Phase 2), AP.PIPE
• Associated scholarship(s): 21/04873-5 - Lightning alert: lightning risk warning, BP.TT; 21/05079-0 - Lightning alert: lightning risk warning, BP.TT; 21/03776-6 - Lightning alert: lightning risk warning, BP.PIPE

Abstract

This research project aims to build a tool that can compute the probability to have a lightning discharge or not in time in a given specific place, in order to reduce socio-economic impacts as well as life due to lightning activity. Additionally, by computing the probability of not lightning risks or treats, it will be possible to guarantee the return of activities without compromising the production and the security of people and goods. The goal of this project is to develop a software that automatically operates a methodology that computes lightning warning based on existing 3 technologies in a given area available in the market: lightning locating systems (SLT), electromagnetic slow antennas (SREVL) and electrostatic field mills (SCE). In the first phase, this project will use a lightning database measured previously by STORM-T Laboratory of USP and public available, i.e., the South American lightning detection network - STARNET (SLT) and the coincident measurements from field mills sensors (SCE) and slow antenna intra-cloud and cloud-to-ground counter (SREVL). By combining these 3 technologies it is possible to emit warning for distant thunderstorms as well as thunderstorms the form locally and that are not electrically active and detectable. The warnings are based on the lightning activity detected by the different technologies (number of intra cloud and cloud to ground strokes, thunderstorm distance, thunderstorm speed and propagation direction, flash rate and temporal flash rate) and the temporal variations of the local vertical electrical field. The software will be configured to compute the probability of occurrence or not of lightning even with one technology. Therefore, this methodology can be applied to any place that has access to at least on technology available. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

RODRIGUES, FRANCIANE; LACERDA, MOACIR; IEEE. Warning of lightning risk for the first lightning produced by a thunderstorm using electric field mill network records. 2022 36TH INTERNATIONAL CONFERENCE ON LIGHTNING PROTECTION (ICLP 2022), v. N/A, p. 4-pg., 2022-01-01. (09/15235-8, 21/04873-5, 21/05079-0, 20/05692-1, 21/03776-6)