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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
Identificador8JMKD3MGP5W34M/3GD3GLL
Repositóriosid.inpe.br/mtc-m21b/2014/05.30.02.23.51   (acesso restrito)
Última Atualização2017:07.21.15.31.21 (UTC) marcelo.pazos@inpe.br
Repositório de Metadadossid.inpe.br/mtc-m21b/2014/05.30.02.23.52
Última Atualização dos Metadados2018:06.04.03.04.16 (UTC) administrator
DOI10.1080/15715124.2013.865637
ISSN1571-5124
1814-2060
Rótuloscopus 2014-05 DemariaNijValRodSu:2014:HoSaEr
Chave de CitaçãoDemariaNijValRodSu:2014:HoSaEr
TítuloSatellite precipitation in southeastern South America: How do sampling errors impact high flow simulations?
Ano2014
Data de Acesso24 maio 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho629 KiB
2. Contextualização
Autor1 Demaria, Eleonora M. C.
2 Nijssen, Bart
3 Valdés, Juan B.
4 Rodriguez, Daniel Andrés
5 Su, Fengge
Grupo1
2
3
4 CST-CST-INPE-MCTI-GOV-BR
Afiliação1 The University of Arizona
2 University of Washington
3 The University of Arizona
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Institute of Tibetan Plateau Research, Chinese Academy of Sciences
Endereço de e-Mail do Autor1
2
3
4 daniel.andres@cptec.inpe.br
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaInternational Journal of River Basin Management
Volume12
Número1
Páginas1-13
Histórico (UTC)2016-07-03 20:59:21 :: administrator -> marcelo.pazos@inpe.br :: 2014
2017-07-21 15:31:21 :: marcelo.pazos@inpe.br -> administrator :: 2014
2018-06-04 03:04:16 :: administrator -> marcelo.pazos@inpe.br :: 2014
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-Chavecomputer simulation
error analysis
flood forecasting
flow modeling
hydrological modeling
Monte Carlo analysis
peak flow
precipitation assessment
satellite data
Brazil
Iguazu basin
ResumoSatellite precipitation estimates are increasingly available at temporal and spatial scales of interest to hydrological applications and with the potential for improving flood forecasts in data-sparse regions. This study evaluates the effect of sampling error on simulated large flood events. Synthetic precipitation fields were generated in Monte Carlo fashion by perturbing observed precipitation fields with sampling errors based on 1, 2 and 6 h intervals. The variable infiltration capacity hydrological model was used to assess the impact of these errors on simulated high flow events in the Iguazu basin, a rain-dominated, subtropical basin in southeastern South America. Results showed that unbiased errors in daily error-corrupted precipitation fields introduced bias in the simulated hydrologic fluxes and states. The overall bias for error-corrupted daily streamflows was positive and its magnitude increased with larger sampling intervals. However, for high flow events, the bias was negative as a result of an increase in simulated infiltration and changes in precipitation variability. Errors in precipitation also affected the magnitude and volume of the peak events but did not change the first two statistical moments of the peaks indicating that non-linearities in the hydrological system preserve the statistical properties of high flows in the basin. Caution is needed when using satellite products for hydrological applications that require the estimation of large peaks and volumes.
ÁreaCST
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Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Grupo de Usuáriosadministrator
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Grupo de Leitoresadministrator
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Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.19.20.40 3
DivulgaçãoSCOPUS
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject targetfile tertiarymark tertiarytype typeofwork url
7. Controle da descrição
e-Mail (login)marcelo.pazos@inpe.br
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