Fechar

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3NNBEEE
Repositóriosid.inpe.br/mtc-m21b/2017/04.17.17.08   (acesso restrito)
Última Atualização2017:04.17.17.08.41 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2017/04.17.17.08.41
Última Atualização dos Metadados2021:01.02.22.17.16 (UTC) administrator
DOI10.1016/jjag.2016.12.015
ISSN0303-2434
Chave de CitaçãoHartantoKwAlAlSoAnSo:2017:DaAsSa
TítuloData assimilation of satellite-based actual evapotranspiration in a distributed hydrological model of a controlled water system
Ano2017
MêsMay
Data de Acesso06 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho4704 KiB
2. Contextualização
Autor1 Hartanto, I. M.
2 Kwast, J. van der
3 Alexandrilis, T. K.
4 Almeida, Waldenio Gambi de
5 Song, Y.
6 Andel, S. J. van
7 Solomatine, D. P.
Identificador de Curriculo1
2
3
4 8JMKD3MGP5W/3C9JJBR
Grupo1
2
3
4 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
Afiliação1 UNESCO-IHE Institute for Water Education
2 UNESCO-IHE Institute for Water Education
3 Aristotle University of Thessaloniki
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 UNESCO-IHE Institute for Water Education
6 UNESCO-IHE Institute for Water Education
7 UNESCO-IHE Institute for Water Education
Endereço de e-Mail do Autor1 isnaeni@gmail.com
2
3
4 waldenio.almeida@inpe.br
RevistaInternational Journal of Applied Earth Observation and Geoinformation
Volume57
Páginas123-135
Nota SecundáriaB1_GEOCIÊNCIAS
Histórico (UTC)2017-04-17 17:08:41 :: simone -> administrator ::
2017-04-17 17:08:42 :: administrator -> simone :: 2017
2017-06-02 13:53:03 :: simone -> administrator :: 2017
2021-01-02 22:17:16 :: administrator -> simone :: 2017
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-ChaveHydrology Data assimilation
Particle filter
Evapotranspiration Controlled water system
Earth observation
ResumoAdvances in earth observation (EC) and spatially distributed hydrological modelling provide an opportunity to improve modelling of controlled water systems. In a controlled water system human interference is high, which may lead to incorrect parameterisation in the model calibration phase. This paper analyses whether assimilation of EO actual evapotranspiration (ETa) data can improve discharge simulation with a spatially distributed hydrological model of a controlled water system. The EO ETa estimates are in the form of eight-day ETa composite maps derived from Terra/MODIS images using the ITA-MyWater algorithm. This algorithm is based on the surface energy balance method and is calibrated for this research for a low-lying reclamation area with a heavily controlled water system: the Rijnland area in the Netherlands. Data assimilation (DA) with the particle filter method is applied to assimilate the ETa maps into a spatially distributed hydrological model. The hydrological model and DA framework are applied using the open source software SIMGRO and PCRaster-Python respectively. The analysis is done for a period between July and October 2013 in which a high discharge peak followed a long dry-spell. The assimilation of EC ETa resulted in local differences in modelled ETa compared to simulation without data assimilation, while the area average ETa remained almost the same. The modelled cumulative discharge graphs, with and without DA, showed distinctive differences with the simulation, with DA better matching the measured cumulative discharge. The bias of simulated cumulative discharge to the observed data reduced from 14% to 4% when using DA of EO ETa. These results showed that assimilating EO ETa may not only be effective in the more common applications of soil moisture and crop-growth modelling, but also for improving discharge modelling of controlled water systems.
ÁreaMET
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > Data assimilation of...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 17/04/2017 14:08 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Arquivo Alvohartanto_data.pdf
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
Vinculação8JMKD3MGP5W34M/3GMA3NP
Repositório Espelhosid.inpe.br/mtc-m21b/2013/09.26.14.25.22
Unidades Imediatamente Superiores8JMKD3MGPCW/43SQKNE
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.15.01.44 1
sid.inpe.br/bibdigital/2021/01.02.22.14 1
DivulgaçãoWEBSCI; PORTALCAPES; 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 nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarytype url
7. Controle da descrição
e-Mail (login)simone
atualizar 


Fechar