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Estimation of convective precipitation mass from lightning data using a temporal sliding‐window for a series of thunderstorms in Southeastern Brazil
Author(s) -
Garcia João V. C.,
Stephany Stephan,
d'Oliveira Augusto B.
Publication year - 2013
Publication title -
atmospheric science letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.951
H-Index - 45
ISSN - 1530-261X
DOI - 10.1002/asl2.453
Subject(s) - thunderstorm , lightning (connector) , meteorology , precipitation , climatology , environmental science , convection , radar , computation , nowcasting , sliding window protocol , estimation , series (stratigraphy) , window (computing) , geography , geology , computer science , engineering , algorithm , telecommunications , paleontology , power (physics) , physics , systems engineering , quantum mechanics , operating system
Some studies have proposed the estimation of convective rainfall from lightning observations by the computation of the rainfall–lightning ratio ( RLR ). However, as such ratio may depend on season, convective regime and other factors, known approaches failed to provide values of RLR with low variability. An accurate RLR would allow estimating rainfall from lightning data in areas that lack weather radar coverage. This work proposes a straightforward approach for the computation of RLR , based on a temporal sliding‐window and a fitting function. It was tested for thunderstorms observed in the Southeastern Brazil with good results .

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