%0 Journal Article
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%3 110007337738.pdf
%X The life cycle of deep convective systems over the eastern tropical Pacific (30ºN to 30ºS, 180 to 90ºW) was studied in term of cloud types, as classified by a split window (11 um and 12 um). Hourly split window image data of Geostationary Operational Environmental Staellite (GOES-W) from January 2001 to December 2002 was used in this study. Deep convective systems consist mostly of optically thick cumulus type clouds in the earlier stage and a cirrus type cloud area that increases with time in the later stage. During this analysis period and over the analysis area, the life stage of deep convective system, to a large extent, can be identified by computing the percentage of cirrus type clouds within the deep convective system from a single snap shot of the split window image. Coincident Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) observations were used to study the relationship between the percentage of cirrus type clouds within a deep convective system (i.e., its life stage) and the rainfall rate. It was found that the rainfall rate tends to be larger in the earlier stage  of the life cycle when a smaller percentage of cirrus type cloud is present within the deep convection.
%@mirrorrepository sid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
%T Life cycle of deep convective systems over the Eastern Tropical Pacific observed by TRMM and GOES-W
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%@electronicmailaddress luiz.machado@cptec.inpe.br
%@secondarytype PRE PI
%K **.
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%@group CPT-CPT-INPE-MCT-BR
%@e-mailaddress deicy.farabello@cptec.inpe.br
%@secondarykey INPE--PRE/
%@secondarymark B1_GEOCIÊNCIAS A2_INTERDISCIPLINAR
%@issn 0026-1165
%2 sid.inpe.br/mtc-m19@80/2009/12.03.13.02.54
%@affiliation Center of Climate System Research, The University of Tokyo
%@affiliation Cooperative Institute for Climate Studies (CICS/ESSIC), University of Maryland at College Park
%@affiliation CSIR-Center for Mathematical Modeling and Computer Simulation, National Aerospace Laboraties
%@affiliation Graduate School of Science, Kyoto University
%@affiliation Center for Satellite Applications and Research/NOAA
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%B Journal of the Meteorological Society of Japan
%P 381-391
%4 sid.inpe.br/mtc-m19@80/2009/12.03.13.02
%D 2009
%V 87A
%@doi 10.2151/jmsj.87A.381
%A Inoue, Toshiro,
%A Vila, Daniel,
%A Rajendran, Kavirajan,
%A Hamada, Atsushi,
%A Wu, Xiangqian,
%A Machado, Luiz Augusto Toledo,
%@dissemination WEBSCI; PORTALCAPES.
%@area MET