Lightning Warning Prediction with Multi-source Data-Reference-Cited by-同舟云学术

Lightning Warning Prediction with Multi-source Data

Published:2022-10-02 Issue: Volume: Page:
ISSN:
Container-title:2022 36th International Conference on Lightning Protection (ICLP)
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Author:

Alves Marcos A.¹,Oliveira Bruno A. S.¹,Maia Willian²,Soares Waterson S.³,da S. Ferreira Douglas B.⁴,dos Santos Ana P. P.⁴,Silvestrow Fernando P.⁵,Daher Eugenio L.⁵,Junior Osmar P.⁶

Affiliation:

1. FITec - Technological Innovations Federal University of Minas Gerais,Belo Horizonte,Brazil

2. Vale S.A. Federal University of Minas Gerais,Belo Horizonte,Brazil

3. Vale S.A. Itabira,Brazil

4. Vale Institute of Technology - ITV,Belén,Brazil

5. FITec - Technological Innovations,Belo Horizonte,Brazil

6. National Institute for Space Research - INPE São José dos Campos,Brazil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9942445/9942448/09942488.pdf?arnumber=9942488

Reference24 articles.

1. Lightning mon-itoring systems a case study applied to the iron ore minning. an approach to meeting standards iec 62793–5, iec 627139 iec 62305/nbr-5419;soares;2019 International Symposium on Lightning Protection (XV SIPDA),0

2. Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques

3. A deep learning framework for lightning forecasting with multi‐source spatiotemporal data

4. Uso do campo elétrico na geração de alarmes para risco de descargas atmosféricas;oliveira;IX Simpósio Brasileiro de Sistemas El étricos (IX SBSE),2022

5. Lightning risk warnings based on atmospheric electric field measurements in Brazil

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1. An automated technique and decision support system for lightning early warning;International Journal of Environmental Science and Technology;2024-06-18

2. Uso de radar meteorológico para a avaliação das variáveis polarimétricas associadas a descargas atmosféricas no Leste da Amazônia;Revista Brasileira de Climatologia;2023-07-15