A Survey and Perspectives on Mathematical Models for Quantitative Precipitation Estimation Using Lightning

Lightning is one of the most spectacular phenomena in nature. It is produced when there is a breakdown in the resistance in the electric field between the ground and an electrically charged cloud. By simple observation, we observe that precipitation, especially the most intense, is often accompanied...

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Main Authors: Carlos Manuel Minjarez-Sosa, Julio Waissman
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2017/1351308
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author Carlos Manuel Minjarez-Sosa
Julio Waissman
author_facet Carlos Manuel Minjarez-Sosa
Julio Waissman
author_sort Carlos Manuel Minjarez-Sosa
collection DOAJ
description Lightning is one of the most spectacular phenomena in nature. It is produced when there is a breakdown in the resistance in the electric field between the ground and an electrically charged cloud. By simple observation, we observe that precipitation, especially the most intense, is often accompanied by lightning. Given this observation, lightning has been employed to estimate convective precipitation since 1969. In early studies, mathematical models were deduced to quantify this relationship and used to estimate precipitation. Currently, the use of several techniques to estimate precipitation is gaining momentum, and lightning is one of the novel techniques to complement the traditional techniques for Quantitative Precipitation Estimation. In this paper, the authors provide a survey of the mathematical methods employed to estimate precipitation through the use of cloud-to-ground lightning. We also offer a perspective on the future research to this end.
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spelling doaj-art-cf59110f7252462287bd71dc3ac46c962025-02-03T01:13:01ZengWileyAdvances in Meteorology1687-93091687-93172017-01-01201710.1155/2017/13513081351308A Survey and Perspectives on Mathematical Models for Quantitative Precipitation Estimation Using LightningCarlos Manuel Minjarez-Sosa0Julio Waissman1Departamento de Física, Departamento de Matemáticas, Universidad de Sonora, Blvd. Luis Encinas y Rosales s/n, 83000 Hermosillo, SON, MexicoDepartamento de Física, Departamento de Matemáticas, Universidad de Sonora, Blvd. Luis Encinas y Rosales s/n, 83000 Hermosillo, SON, MexicoLightning is one of the most spectacular phenomena in nature. It is produced when there is a breakdown in the resistance in the electric field between the ground and an electrically charged cloud. By simple observation, we observe that precipitation, especially the most intense, is often accompanied by lightning. Given this observation, lightning has been employed to estimate convective precipitation since 1969. In early studies, mathematical models were deduced to quantify this relationship and used to estimate precipitation. Currently, the use of several techniques to estimate precipitation is gaining momentum, and lightning is one of the novel techniques to complement the traditional techniques for Quantitative Precipitation Estimation. In this paper, the authors provide a survey of the mathematical methods employed to estimate precipitation through the use of cloud-to-ground lightning. We also offer a perspective on the future research to this end.http://dx.doi.org/10.1155/2017/1351308
spellingShingle Carlos Manuel Minjarez-Sosa
Julio Waissman
A Survey and Perspectives on Mathematical Models for Quantitative Precipitation Estimation Using Lightning
Advances in Meteorology
title A Survey and Perspectives on Mathematical Models for Quantitative Precipitation Estimation Using Lightning
title_full A Survey and Perspectives on Mathematical Models for Quantitative Precipitation Estimation Using Lightning
title_fullStr A Survey and Perspectives on Mathematical Models for Quantitative Precipitation Estimation Using Lightning
title_full_unstemmed A Survey and Perspectives on Mathematical Models for Quantitative Precipitation Estimation Using Lightning
title_short A Survey and Perspectives on Mathematical Models for Quantitative Precipitation Estimation Using Lightning
title_sort survey and perspectives on mathematical models for quantitative precipitation estimation using lightning
url http://dx.doi.org/10.1155/2017/1351308
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