A Survey and Perspectives on Mathematical Models for Quantitative Precipitation Estimation Using Lightning
Joint Authors
Minjarez-Sosa, Carlos Manuel
Waissman, Julio
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-17
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Minjarez-Sosa, Carlos Manuel& Waissman, Julio. 2017. A Survey and Perspectives on Mathematical Models for Quantitative Precipitation Estimation Using Lightning. Advances in Meteorology،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1122504
Modern Language Association (MLA)
Minjarez-Sosa, Carlos Manuel& Waissman, Julio. A Survey and Perspectives on Mathematical Models for Quantitative Precipitation Estimation Using Lightning. Advances in Meteorology No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1122504
American Medical Association (AMA)
Minjarez-Sosa, Carlos Manuel& Waissman, Julio. A Survey and Perspectives on Mathematical Models for Quantitative Precipitation Estimation Using Lightning. Advances in Meteorology. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1122504
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1122504