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2 referências encontradas buscando em 17 dentre 17 Arquivos.
Data e hora local de busca: 25/04/2024 22:15.
1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificadorx6e6X3pFwXQZ3DUS8rS5/BQKKL
Repositóriocptec.inpe.br/walmeida/2004/04.22.10.17
Última Atualização2004:12.08.02.00.00 (UTC) administrator
Repositório de Metadadoscptec.inpe.br/walmeida/2004/04.22.10.17.07
Última Atualização dos Metadados2021:02.10.23.11.26 (UTC) administrator
Chave SecundáriaINPE-11024-PRE/6480
ISSN0102-261X
Chave de CitaçãoCeballosBottSouz:2004:SiPhMo
TítuloA simplified physical model for assessing solar radiation over Brazil using GOES 8 visible imagery
Ano2004
MêsJan.
Data de Acesso25 abr. 2024
Tipo SecundárioPRE PN
Número de Arquivos1
Tamanho552 KiB
2. Contextualização
Autor1 Ceballos, Juan Carlos
2 Bottino, Marcos Jorge
3 Souza, Jaidete Moneiro de
Grupo1 DSA-INPE-MCT-BR
2 CPT-INPE-MCT-BR
Afiliação1 Inst Nacl Pesquisas Espaciais, Ctr Previsao Tempo & Estudios Climat, Div Satelites & Sistemas Ambientais, BR-12630000 Sao Paulo, Brazil
Endereço de e-Mailfabia@cptec.inpe.br
RevistaRevista Brasileira de Geofísica
Volume109
NúmeroD 2
PáginasArt. No. D02211
Histórico (UTC)2004-12-08 12:11:58 :: Fabia -> administrator ::
2008-06-10 19:50:09 :: administrator -> estagiario ::
2010-05-11 16:52:59 :: estagiario -> banon ::
2010-05-12 13:39:58 :: banon -> administrator ::
2021-02-10 23:11:26 :: administrator -> marciana :: 2004
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Palavras-Chavesolar radiation
satellite
GOES 8
Brazil
atmospheric water-vapor
satelite data
synthetic atmospheres
infrared transmissiom
earths atmosphere
surface
absotion
budget
parameterization
calibration
ResumoSolar radiation assessment by satellite is constrained by physical limitations of imagery and by the accuracy of instantaneous local atmospheric parameters, suggesting that one should use simplified but physically consistent models for operational work. Such a model is presented for use with GOES 8 imagery applied to atmospheres with low aerosol optical depth. Fundamental satellite-derived parameters are reflectance and cloud cover. A classification method applied to a set of images shows that reflectance, usually defined as upper-threshold R-max in algorithms assessing cloud cover, would amount similar to0.465, corresponding to the transition between a cumuliform and a stratiform cloud field. Ozone absorption is limited to the stratosphere. The model considers two spectral broadband intervals for tropospheric radiative transfer: ultraviolet and visible intervals are essentially nonabsorbing and can be processed as a single interval, while near-infrared intervals have negligible atmospheric scattering and very low cloud transmittance. Typical values of CO2 and O-3 content and of precipitable water are considered. A comparison of daily values of modeled mean irradiance with data of three sites (in rural, urban industrial, and urban coastal environments), September-October 2002, exhibits a bias of +5 W m(-2) and a standard deviation of similar to15 W m(-2) (0.4 and 1.3 MJ m(-2) for daily irradiation). A comparison with monthly means from about 80 automatic weather stations (covering a large area throughout the Brazilian territory) still shows a bias generally within +/- 10 W m(-2) and a low standard deviation (<20 W m(-2)), but the bias has a trend in September-December 2002, suggesting an annual cycle of local R-max values. Systematic (mean) errors in partial cloud cover and in nearly clear-sky situations may be enhanced using regional values for atmospheric and surface parameters, such as precipitable water, R-max, and ground reflectance. The larger errors are observed in situations of high aerosol load (especially in regions with industrial activity or forest or agricultural fires). The last case is evident when sites in the Amazonian region or Sao Paulo city are selected. When considering daily values averaged within 2.5&DEG; x 2.5&DEG; cells, the standard error is lower than 20 W m(-2); present results suggest an annual cycle of mean bias ranging from +10 to -10 W m(-2), with an amplitude of -10 W m(-2). These values are close to the proposed requirements of 10 W m(-2) for the mean deviation and 25 W m(-2) for the standard deviation. It is expected that the introduction of a reference grid containing mean values of parameters within a cell could induce a decrease in the standard deviation of mean errors and the correction of their annual cycle. A model adaptation for assessing the effect of high aerosol loads is needed in order to extend improvements to the whole Brazilian area.
ÁreaMET
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGCPT > A simplified physical...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > A simplified physical...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/x6e6X3pFwXQZ3DUS8rS5/BQKKL
URL dos dados zipadoshttp://urlib.net/zip/x6e6X3pFwXQZ3DUS8rS5/BQKKL
Idiomaen
Arquivo AlvoCeballos_A simplified.pdf
Grupo de Usuáriosadministrator
banon
Visibilidadeshown
Detentor da CópiaSID/SCD
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Leituraallow from all
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EUPEJL
8JMKD3MGPCW/43SRC6S
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.06.18.03 2
DivulgaçãoPORTALCAPES; SCIELO.
Acervo Hospedeirocptec.inpe.br/walmeida/2003/04.25.17.12
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyright creatorhistory descriptionlevel documentstage doi electronicmailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype
7. Controle da descrição
e-Mail (login)marciana
atualizar 

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificadorx6e6X3pFwXQZ3DUS8rS5/BQLgF
Repositóriocptec.inpe.br/walmeida/2004/04.22.10.39
Última Atualização2004:12.08.02.00.00 (UTC) administrator
Repositório de Metadadoscptec.inpe.br/walmeida/2004/04.22.10.39.01
Última Atualização dos Metadados2021:02.10.23.11.27 (UTC) administrator
Chave SecundáriaINPE-11145-PRE/6601
ISSN0102-261X
Chave de CitaçãoFomin:2004:1.FKFa
TítuloA k-distribution technique for radiative transfer simulation in inhomogeneous atmosphere: 1. FKDM, fast k-distribution model for the longwave
Ano2004
MêsJan.
Data de Acesso25 abr. 2024
Tipo SecundárioPRE PN
Número de Arquivos1
Tamanho557 KiB
2. Contextualização
AutorFomin, Boris Alexeevitch
GrupoDSA-INPE-MCT-BR
AfiliaçãoINPE, CPTEC, BR-12630000 Sao Paulo, Brazil
Endereço de e-Mailfabia@cptec.inpe.br
RevistaRevista Brasileira de Geofísica
Volume109
NúmeroD 2
PáginasArt. No. D02110
Histórico (UTC)2004-12-08 12:08:52 :: Fabia -> administrator ::
2008-06-10 19:50:10 :: administrator -> estagiario ::
2010-05-11 16:53:00 :: estagiario -> banon ::
2010-05-12 13:40:00 :: banon -> administrator ::
2021-02-10 23:11:27 :: administrator -> marciana :: 2004
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Palavras-Chaveradiation code
longwave
climate model
by-line calculations
gaseous absorption
cooling rates
fluxes
Resumo[1] A new technique for developing k-distributions is described. This new technique requires almost half of the computational effort yet is at least as accurate as other published k-distribution methods. Its novelty consists in the use of real atmospheric flux calculations to guide both the position of spectral bands and the k terms within each band; previous methods have not used such a guiding principle. Wave number subintervals which have similar atmospheric absorption behavior are chosen, then a representative absorption coefficient for such a wave number interval is set to the value which best fit the results of line-by-line calculations of fluxes and heating rates. This method of choosing one absorption coefficient to represent a large wave number subinterval contrasts with other published methods and is responsible in large part for the improved computational efficiency. It is worth noting that this new technique works as well in the stratosphere as the troposphere, so it can be applied to the processing of satellite data retrievals as well as in weather and climate forecasting. An example of the application of the new technique to the longwave part of the spectrum is presented. A fast k-distribution model (FKDM) suitable for use in weather and climate prediction has been created using 23 k-distribution terms, which is nearly half as many as other k-distribution models. The molecular species represented in the model are H2O, CO2, O-3, N2O, CH4, and CFC-11,12,113. FKDM has been developed and validated using a fast line-by-line model (FLBLM). Validations have covered the tropical, midlatitude summer, midlatitude winter, subarctic summer, subarctic winter standard atmospheres, four atmospheres from the Spectral Radiance Experiment campaign, and one case of real tropical atmosphere. It has been found that the FKDM cooling rate accuracy is as follows: 0.15 and 0.2 K day(-1) in troposphere for standard and real atmospheres, respectively, and 0.9 K day(-1) in all the cases at altitudes below 70 km. Upward and downward flux errors are below 4 W m(-2) (usually 1 - 2 W m(-2)) in every case.
ÁreaMET
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > A k-distribution technique...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/x6e6X3pFwXQZ3DUS8rS5/BQLgF
URL dos dados zipadoshttp://urlib.net/zip/x6e6X3pFwXQZ3DUS8rS5/BQLgF
Idiomaen
Arquivo AlvoFomin_A K-distribution.pdf
Grupo de Usuáriosadministrator
banon
Visibilidadeshown
Detentor da CópiaSID/SCD
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Leituraallow from all
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/43SRC6S
Lista de Itens Citandosid.inpe.br/bibdigital/2021/01.03.02.10 1
DivulgaçãoPORTALCAPES; SCIELO.
Acervo Hospedeirocptec.inpe.br/walmeida/2003/04.25.17.12
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyright creatorhistory descriptionlevel documentstage doi electronicmailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype
7. Controle da descrição
e-Mail (login)marciana
atualizar