%0 Book Section
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
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%3 ruivo_severe.pdf
%4 sid.inpe.br/mtc-m21b/2017/11.29.15.54
%A Ruivo, Heloisa Musetti,
%A Campos Velho, Haroldo Fraga de,
%A Freitas, Saulo Ribeiro de,
%@secondarytype PRE LI
%B Integral methods in science and engineering, volume 2: practical applications
%D 2017
%E Constanda, Christian,
%E Dalla Riva, Matteo,
%E Lamberti, Pier Domenico,
%E Musolino, Paolo,
%@secondarykey INPE--/
%I Springer
%K precipitation, data mining.
%P 1-11
%T Severe precipitation in Brazil: data mining approach
%@area CST
%@electronicmailaddress heloisa.ruivo@inpe.br
%@electronicmailaddress haroldo.camposvelho@inpe.br
%@electronicmailaddress saulo.freitas@inpe.br
%@documentstage not transferred
%@group COCST-COCST-INPE-MCTIC-GOV-BR
%@group LABAC-COCTE-INPE-MCTIC-GOV-BR
%@group DIDMD-CGCPT-INPE-MCTIC-GOV-BR
%@dissemination BNDEPOSITOLEGAL
%@isbn 978-3-319-59386-9
%@usergroup simone
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JHC3
%@resumeid 8JMKD3MGP5W/3C9JJ7M
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@versiontype publisher
%2 sid.inpe.br/mtc-m21b/2017/11.29.15.54.53