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Tipo da ReferênciaConference Proceedings
Sitemtc-m16b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositóriocptec.inpe.br/adm_conf/2005/10.31.17.23
Última Atualização2006:04.16.14.36.50 administrator
Metadadoscptec.inpe.br/adm_conf/2005/10.31.17.23.50
Última Atualização dos Metadados2018:06.05.03.42.55 administrator
Chave SecundáriaINPE-13813-PRE/8999
Chave de CitaçãoCintraSilv:2006:ArNeNe
TítuloArtificial Neural Network to estimate Integrated Water Vapor using satellite data from HSB sensor
FormatoCD-ROM; On-line.
Ano2006
Data24-28 Apr. 2006
Data de Acesso03 dez. 2020
Número de Arquivos1
Tamanho360 KiB
Área de contextualização
Autor1 Cintra, Rosangela Saher Correa
2 Silva, José Demísio Simões
Identificador de Curriculo1 8JMKD3MGP5W/3C9JJ75
Grupo1 LAC-INPE-MCT-BR
2 LAC-INPE-MCT-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 rosangela.cintra@lac.inpe.br,demisio@lac.inpe.br
EditorVera, Carolina
Nobre, Carlos
Endereço de e-Mailrosangela.cintra@lac.inpe.br
Nome do EventoInternational Conference on Southern Hemisphere Meteorology and Oceanography, 8 (ICSHMO).
Localização do EventoFoz do Iguaçu
Título do LivroProceedings
Editora (Publisher)American Meteorological Society (AMS)
Cidade da Editora45 Beacon Hill Road, Boston, MA, USA
OrganizaçãoAmerican Meteorological Society (AMS)
Histórico2005-10-31 17:23:50 :: rosangela.cintra@lac.inpe.br -> administrator ::
2005-11-11 21:53:54 :: administrator -> adm_conf ::
2005-12-15 23:33:38 :: adm_conf -> rosangela.cintra@lac.inpe.br ::
2006-03-13 17:24:28 :: rosangela.cintra@lac.inpe.br -> administrator ::
2006-04-18 21:08:51 :: administrator -> lise@dpi.inpe.br ::
2010-12-28 12:36:37 :: lise@dpi.inpe.br -> administrator ::
2010-12-29 15:57:36 :: administrator -> lise@dpi.inpe.br :: 2006
2010-12-29 16:06:00 :: lise@dpi.inpe.br -> administrator :: 2006
2010-12-29 18:53:16 :: administrator -> banon :: 2006
2011-01-02 17:15:00 :: banon -> administrator :: 2006
2018-06-05 03:42:55 :: administrator -> :: 2006
Área de conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Documentoconcluido
Transferível1
Tipo SecundárioPRE CI
Tipo TerciárioPoster
Páginas11-15
Palavras-Chaveintegrated water vapor, satellite data, artificial neural network, brightness temperature, multilayer percepton.
ResumoArtificial Neural Network (ANN) is applied to estimate the Integrated Water Vapor (IWV) of atmosphere, using HSB (Humidy Sensor Brazil) channels data from AQUA satellite, and simulations of the brightness temperatures from RTTOV-7. The intention of HSB is to obtain information of the content of water vapor in the atmosphere, precipitation, and when it is together instruments, such as: AMSU-A (Advanced Microwave Sounding Unit-A) and AIRS (Atmospheric Infrared Sounder), also on board of the AQUA satellite, they allow to infer soundings of atmospheric profiles of temperature and moisture under conditions of clear and cloudy sky. The HSB is a sensor with the same characteristics of the sounder AMSU-B that is on board of the satellites of the series NOAA-KLM, then this method can applied with that data. This paper shows the ANN as a new method to estimate IWV, with supervised training of observations data from the RACCI/LBA experiment in Rondônia/Brazil, during period of September and October 2002. The Total IWV is also compared against radiosonde data, where all of the results are in good agreement with RMS differences less than 4 mm and biases less than 1 mm. This method can also used to estimate the variability of distribution of water vapor in atmosphere through the on-line update training process. The total precipitable water in Kg/m2 is near to the integrated values of the profiles of absolute moisture of the radiosondes of the experiment RaCCI/LBA.. In Southern Hemisphere, there is a big disadvantage, because the space and temporary distribution of the observations is weak. This method allows the estimate of the IWV to connect straightly the temperature of brilliance with the quantity of water vapor (for a determined vertical profile of temperature). These observations are important in weather forecast, like observation of moisture field of initial conditions for the numerical models, through the Data Assimilation to obtain homogeneous fields of the analysis. Since the conventional observations for radiosonde offer quite limited space covering, particularly in the South America, then there is a method of estimate of water vapor in the atmosphere from satellite data, that it will improve the limitations of the meteorological observations of conventional stations.
AreaMET
TipoAddressing gaps in SH observing systems
Conteúdo da Pasta source
abs_8ICHMO.doc 13/03/2006 14:24 167.0 KiB 
Conteúdo da Pasta agreementnão têm arquivos
Área de condições de acesso e uso
Idiomaen
Arquivo Alvo11-15.pdf
Grupo de Usuáriosadministrator
rosangela.cintra@lac.inpe.br
administrator
banon
Visibilidadeshown
Permissão de Leituraallow from all
Área de fontes relacionadas
Detentor da CópiaSID/SCD
Unidades Imediatamente Superiores8JMKD3MGPCW/3ESGTTP
Acervo Hospedeirocptec.inpe.br/nobre/2005/06.02.21.14
cptec.inpe.br/walmeida/2003/04.25.17.12
Área de notas
Nota1
Campos Vaziosaccessionnumber archivingpolicy archivist callnumber contenttype copyright creatorhistory descriptionlevel dissemination documentstage doi edition isbn issn label lineage mirrorrepository nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark url versiontype volume

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