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3 referências similares encontradas (inclusive a original) buscando em 17 dentre 17 Arquivos.
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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3JN8E38
Repositóriosid.inpe.br/mtc-m21b/2015/06.22.17.25   (acesso restrito)
Última Atualização2015:07.06.17.23.54 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2015/06.22.17.25.10
Última Atualização dos Metadados2021:01.03.02.11.41 (UTC) administrator
DOI10.1016/j.jhydrol.2015.05.042
ISSN0022-1694
Chave de CitaçãoFalckMagTomVilDin:2015:CaStTo
TítuloPropagation of satellite precipitation uncertainties through a distributed hydrologic model: a case study in the Tocantins-Araguaia basin in Brazil
Ano2015
Data de Acesso26 abr. 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho4430 KiB
2. Contextualização
Autor1 Falck, Aline Schneider
2 Maggioni, Viviana
3 Tomasella, Javier
4 Vila, Daniel Alejandro
5 Diniz, Fábio Luiz Rodrigues
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JHE3
Grupo1 CPT-CPT-INPE-MCTI-GOV-BR
2
3 CPT-CPT-INPE-MCTI-GOV-BR
4 DSA-CPT-INPE-MCTI-GOV-BR
5 MET-MET-SPG-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 aline.falck@cptec.inpe.br
2
3 javier@cptec.inpe.br
4 daniel.vila@cptec.inpe.br
5 fabio.diniz@cptec.inpe.br
RevistaJournal of Hydrology
Volume527
Páginas943-957
Nota SecundáriaA1_ENGENHARIAS_III A1_GEOGRAFIA A1_INTERDISCIPLINAR A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A2_BIODIVERSIDADE A2_MATEMÁTICA_/_PROBABILIDADE_E B1_CIÊNCIAS_BIOLÓGICAS_I B1_MEDICINA_I B2_ASTRONOMIA_/_FÍSICA C_ENGENHARIAS_II
Histórico (UTC)2015-06-22 17:25:10 :: simone -> administrator ::
2021-01-03 02:11:41 :: administrator -> simone :: 2015
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveTropical basin
Streamflow ensemble
Satellite rainfall
Uncertainties precipitation
ResumoThis study investigates the applicability of error corrections to satellite-based precipitation products in streamflow simulations. A three-year time series (20082011) is considered across 19 sub-basins of the TocantinsAraguaia basin (764,000 km2), located in the center-north region of Brazil. A raingauge network (24 h accumulation) of approximately 300 collection points (~1 gauge every 2500 km2) is used as reference for evaluating the following four satellite rainfall products: the Tropical Rainfall Measuring Mission real-time 3B42 product (3B42RT), the Climate Prediction Center morphing technique (CMORPH), the Global Satellite Mapping of Precipitation (GSMaP), and the NOAA Hydroestimator (HYDRO-E). Ensemble streamflow simulations, for both dry and rainy seasons, are obtained by forcing the Distributed Hydrological Model developed by the Brazilian National Institute for Space Research (MHDINPE) with the satellite rainfall products, corrected using a two-dimensional stochastic satellite rainfall error model (SREM2D). The ensemble simulations are evaluated using streamflow output derived by forcing the model with reference rainfall gauge data. SREM2D is able to correct for errors in the satellite precipitation data by pushing the modeled streamflow ensemble closer to the reference river discharge, when compared to the simulations forced with uncorrected rainfall input. Ensemble streamflow error statistics (MAE and RMSE) show a decreasing trend as a function of the catchment area for all satellite products, but the rainfall-to-streamflow error propagation does not show any dependence on the basin size.
ÁreaMET
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGCPT > Propagation of satellite...
Arranjo 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > Propagation of satellite...
Arranjo 3urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > Propagation of satellite...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 22/06/2015 14:25 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Vinculação8JMKD3MGP3W34P/3J3C842
Repositório Espelhosid.inpe.br/mtc-m21b/2013/09.26.14.25.22
Unidades Imediatamente Superiores8JMKD3MGPCW/3EUPEJL
8JMKD3MGPCW/3F35TRS
8JMKD3MGPCW/43SRC6S
Lista de Itens Citandosid.inpe.br/bibdigital/2021/01.03.02.10 3
sid.inpe.br/bibdigital/2013/10.06.18.03 3
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject targetfile tertiarytype url
7. Controle da descrição
e-Mail (login)simone
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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m16b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositóriocptec.inpe.br/adm_conf/2005/10.20.00.13
Última Atualização2006:04.20.11.36.44 (UTC) administrator
Repositório de Metadadoscptec.inpe.br/adm_conf/2005/10.20.00.13.59
Última Atualização dos Metadados2018:06.05.03.42.41 (UTC) administrator
Chave de CitaçãoSeguraCuriMosqSilv:2006:MoAnAv
TítuloMonthly and annual average of the precipitation for the Mantaro river basin from images of GOES satellite
FormatoCD-ROM, On-line.
Ano2006
Data de Acesso26 abr. 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho945 KiB
2. Contextualização
Autor1 Segura Curi, Berlin
2 Mosquera Vásquez, Kobi
3 Silva Vidal, Yamina
Afiliação1 Instituto Geofísico del Perú
2 Calle Badajoz N 1699-171
3 Urbanizacion Mayorazgo,IV Etapa
4 Lima 3 - Perú (Segura
5 Mosquera
6 Silva)
Endereço de e-Mail do Autor1 berlin@chavin.igp.gob.pe
2 kobi@chavin.igp.gob.pe
3 yamina@chavin.igp.gob.pe
EditorVera, Carolina
Nobre, Carlos
Endereço de e-Mailberlin@chavin.igp.gob.pe
Nome do EventoInternational Conference on Southern Hemisphere Meteorology and Oceanography, 8 (ICSHMO).
Localização do EventoFoz do Iguaçu
Data24-28 Apr. 2006
Editora (Publisher)American Meteorological Society (AMS)
Cidade da Editora45 Beacon Hill Road, Boston, MA, USA
Páginas1175-1180
Título do LivroProceedings
Tipo TerciárioOral
OrganizaçãoAmerican Meteorological Society (AMS)
Histórico (UTC)2005-10-20 00:13:59 :: berlin@chavin.igp.gob.pe -> adm_conf ::
2005-12-15 23:05:11 :: adm_conf -> berlin@chavin.igp.gob.pe ::
2006-03-29 20:25:58 :: berlin@chavin.igp.gob.pe -> administrator ::
2006-04-18 20:54:44 :: administrator -> lise@dpi.inpe.br ::
2010-12-28 12:36:20 :: lise@dpi.inpe.br -> administrator ::
2010-12-29 15:55:28 :: administrator -> lise@dpi.inpe.br :: 2006
2010-12-29 16:05:41 :: lise@dpi.inpe.br -> administrator :: 2006
2010-12-29 18:51:19 :: administrator -> banon :: 2006
2011-01-02 17:14:40 :: banon -> administrator :: 2006
2018-06-05 03:42:41 :: administrator -> :: 2006
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Palavras-ChaveMantaro basin
Monthly and annual average of the precipitation
Auto-Estimator
GOES-12 satellite
ResumoThe rains in the Central Andes of Perú, according to information of meteorological stations, well are marked by a rainy and dry period, reason why it is important to study the space rain distribution. The present work has by objective calculate the monthly averages, the annual average and the histogram of the precipitation considered according to satellite images on the Mantaro basin for period 2000-2004. The precipitation estimates by satellite is based on the called technique Auto-Estimator (AE), which uses the infrared band of the satellite to calculate the rate of precipitation. The results indicate that the significant precipitations begin in October, are increased until arriving at his maximum value in February, soon the March months and April diminish. Three zones of greater precipitation have been identified, in the northwestern part, southwestern and southeastern and of smaller precipitation in the zone of valley..
ÁreaMET
TipoMonsoon systems and continental rainfall
Conteúdo da Pasta docacessar
Conteúdo da Pasta source
basin_ber_segura.doc 29/03/2006 17:25 1.5 MiB
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/cptec.inpe.br/adm_conf/2005/10.20.00.13
URL dos dados zipadoshttp://urlib.net/zip/cptec.inpe.br/adm_conf/2005/10.20.00.13
Idiomaen
Arquivo Alvo1175-1180.pdf
Grupo de Usuáriosberlin@chavin.igp.gob.pe
administrator
Visibilidadeshown
5. Fontes relacionadas
Acervo Hospedeirocptec.inpe.br/nobre/2005/06.02.21.14
cptec.inpe.br/walmeida/2003/04.25.17.12
6. Notas
Nota1
Campos Vaziosarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition group identifier isbn issn label lineage mirrorrepository nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark url versiontype volume

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificadorx6e6X3pFwXQZ3DUS8rS5/D8J7R
Repositóriocptec.inpe.br/walmeida/2004/08.12.09.01
Última Atualização2004:12.03.02.00.00 (UTC) administrator
Repositório de Metadadoscptec.inpe.br/walmeida/2004/08.12.09.01.47
Última Atualização dos Metadados2021:02.11.01.16.05 (UTC) administrator
Chave SecundáriaINPE-11373-PRE/6810
ISSN0894-8763
Chave de CitaçãoGuSCGLMWANMMORNS:2004:WeDrSu
TítuloModeling Carbon Sequestration over the Large-Scale Amazon Basin, Aided by Satellite Observations. Part I: Wet- and Dry-Season Surface Radiation Budget Flux and Precipitation Variability Based on GOES Retrievals
ProjetoInteração biosfera-atmosfera e ciclos biogeoquímicos na Amazonia
Ano2004
Mêsjune
Data de Acesso26 abr. 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1168 KiB
2. Contextualização
Autor 1 Gu, Jiujing
 2 Smith, Eric A.
 3 Cooper, Harry J.
 4 Grose, Andrew
 5 Liu, Guosheng
 6 Merritt, James D.
 7 Waterloo, Maarten J.
 8 Araújo, Alessandro C. de
 9 Nobre, Antonio D.
10 Manzi, Antonio Ocimar
11 Marengo, JosÉ Antonio
12 Oliveira, Paulo J. de
13 von Randow, Celso
14 Norman, John
15 Silva Dias, Pedro Leite
Grupo 1
 2
 3
 4
 5
 6
 7
 8
 9
10 DMD-INPE-MCT-BR
11 DMD-INPE-MCT-BR
12 SSS-INPE-MCT-BR
13 SSS-INPE-MCT-BR
Afiliação 1 The Florida State University, Department of Meteorology
 2 NASA
 3 The Florida State University, Department of Meteorology
 4 The Florida State University, Department of Meteorology
 5 The Florida State University, Department of Meteorology
 6 The Florida State University, Department of Meteorology
 7 Vrije Universiteit Amsterdan
 8 Instituto Nacional de Pesquisas da Amazônia (INPA)
 9 Instituto Nacional de Pesquisas da Amazônia (INPA)
10 Instituto Nacional de Pesquisas Espaciais, Centro de Previsão do Tempo e Estudos Climáticos (INPE.CPTEC)
11 Instituto Nacional de Pesquisas Espaciais, Centro de Previsão do Tempo e Estudos Climáticos (INPE.CPTEC)
12 Instituto Nacional de Pesquisas Espaciais, Centro de Previsão do Tempo e Estudos Climáticos (INPE.CPTEC)
13 Instituto Nacional de Pesquisas Espaciais, Centro de Previsão do Tempo e Estudos Climáticos (INPE.CPTEC)
14 University of Wisconsin, Department of Soil Science
15 Universidade de São Paulo, Departamento de Ciências Atmosféricas (USP)
Endereço de e-Mailfabia@cptec.inpe.br
RevistaJournal of Applied Meteorology
Volume43
Número6
Páginas870-886
Histórico (UTC)2004-12-03 16:13:41 :: Fabia -> administrator ::
2006-11-17 23:11:44 :: administrator -> estagiario ::
2008-04-18 14:12:22 :: estagiario -> administrator ::
2008-06-10 19:50:47 :: administrator -> estagiario ::
2010-05-11 16:54:22 :: estagiario -> administrator ::
2021-02-11 01:16:05 :: 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-ChaveMETEOROLOGY
Amazônia region
Satellites
Dry season
METEOROLOGIA
Região amazônica
Satélites
Estação seca
ResumoIn this first part of a two-part investigation, large-scale Geostationary Operational Environmental Satellite (GOES) analyses over the Amazônia region have been carried out for March and October of 1999 to provide detailed information on surface radiation budget (SRB) and precipitation variability. SRB fluxes and rainfall are the two foremost cloud-modulated control variables that affect land surface processes, and they require specification at spacetime resolutions concomitant with the changing cloud field to represent adequately the complex coupling of energy, water, and carbon budgets. These processes ultimately determine the relative variations in carbon sequestration and carbon dioxide release within a forest ecosystem. SRB and precipitation retrieval algorithms using GOES imager measurements are used to retrieve surface downward radiation and surface rain rates at high spacetime resolutions for large-scale carbon budget modeling applications in conjunction with the Large-Scale BiosphereAtmosphere Experiment in Amazônia. To validate the retrieval algorithms, instantaneous estimates of SRB fluxes and rain rates over 8 km × 8 km areas were compared with 30-min-averaged surface measurements obtained from tower sites located near Ji-Paraná and Manaus in the states of Rondônia and Amazonas, respectively. Because of large aerosol concentrations originating from biomass burning during the dry season (i.e., September and October for purposes of this analysis), an aerosol index from the Total Ozone Mapping Spectrometer is used in the solar radiation retrieval algorithm. The validation comparisons indicate that bias errors for incoming total solar, photosynthetically active radiation (PAR), and infrared flux retrievals are under 4%, 6%, and 3% of the mean values, respectively. Precision errors at the analyzed space time scales are on the order of 20%, 20%, and 5%. The visible and infrared satellite measurements used for precipitation retrieval do not directly detect rainfall processes, and yet they are responsive to the rapidly changing cloud fields, which are directly associated with precipitation life cycles over the Amazon basin. In conducting the validation analysis at high spacetime scales, the comparisons indicate systematic bias uncertainties on the order of 25%. These uncertainties are comparable to published values from an independent assessment of bias uncertainties inherent to the current highest-quality satellite retrievals, that is, from the Tropical Rainfall Measuring Mission. Because precipitation is a weak direct control on photosynthesis for the Amazon ecosystem, that is, photosynthesis is dominated by the strong diurnal controls of incoming PAR and ambient air-canopy temperatures, such uncertainties are tolerable. By the same token, precipitation is a strong control on soil thermal properties and carbon respiration through soil moisture, but the latter is a time-integrating variable and thus inhibits introduction of modeling errors caused by random errors in the precipitation forcing. The investigation concludes with analysis of the monthly, daily, and diurnal variations intrinsic to SRB and rainfall processes over the Amazon basin, including explanations of how these variations arise during wet- and dry-season periods.
ÁreaMET
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Modeling Carbon Sequestration...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > SESSS > Modeling Carbon Sequestration...
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/D8J7R
URL dos dados zipadoshttp://urlib.net/zip/x6e6X3pFwXQZ3DUS8rS5/D8J7R
Idiomaen
Arquivo AlvoGu_Modeling carbon_part 1.pdf
Grupo de UsuáriosFabia
administrator
estagiario
Visibilidadeshown
Detentor da CópiaSID/SCD
Política de Arquivamentodenypublisher6 allowfinaldraft
Permissão de Leituraallow from all
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/43SKC35
8JMKD3MGPCW/43SRFME
Lista de Itens Citandosid.inpe.br/bibdigital/2021/01.01.17.20 1
DivulgaçãoWEBSCI; PORTALCAPES.
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 readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype
7. Controle da descrição
e-Mail (login)marciana
atualizar