Fechar
Metadados

Tipo da ReferênciaConference Proceedings
Repositóriocptec.inpe.br/adm_conf/2005/10.31.17.23
Metadadoscptec.inpe.br/adm_conf/2005/10.31.17.23.50
Sitemtc-m16b.sid.inpe.br
Chave SecundáriaINPE-13813-PRE/8999
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Chave de CitaçãoCintraSilv:2006:ArNeNe
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
TítuloArtificial Neural Network to estimate Integrated Water Vapor using satellite data from HSB sensor
Nome do EventoInternational Conference on Southern Hemisphere Meteorology and Oceanography, 8 (ICSHMO).
Ano2006
EditorVera, Carolina
Nobre, Carlos
Título do LivroProceedings
Data24-28 Apr. 2006
Cidade da Editora45 Beacon Hill Road, Boston, MA, USA
Editora (Publisher)American Meteorological Society (AMS)
Localização do EventoFoz do Iguaçu
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.
Páginas11-15
OrganizaçãoAmerican Meteorological Society (AMS)
Idiomaen
TipoAddressing gaps in SH observing systems
Tipo SecundárioPRE CI
Tipo TerciárioPoster
FormatoCD-ROM; On-line.
AreaMET
Nota1
Tamanho360 KiB
Número de Arquivos1
Arquivo Alvo11-15.pdf
Última Atualização2006:04.16.14.36.50 cptec.inpe.br/walmeida/2003/04.25.17.12 administrator
Última Atualização dos Metadados2018:06.05.03.42.55 cptec.inpe.br/walmeida/2003/04.25.17.12 administrator {D 2006}
Estágio do Documentoconcluido
É a matriz ou uma cópia?é a matriz
Endereço de e-Mailrosangela.cintra@lac.inpe.br
Grupo de Usuáriosadministrator
rosangela.cintra@lac.inpe.br
administrator
banon
Detentor da CópiaSID/SCD
Visibilidadeshown
Transferível1
Acervo Hospedeirocptec.inpe.br/nobre/2005/06.02.21.14
cptec.inpe.br/walmeida/2003/04.25.17.12
Permissão de Leituraallow from all
Unidades Imediatamente Superiores8JMKD3MGPCW/3ESGTTP
Conteúdo da Pasta source
abs_8ICHMO.doc 13/03/2006 14:24 167.0 KiB 
Conteúdo da Pasta agreementnão têm arquivos
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
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
Data de Acesso31 out. 2020

Fechar