Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation

Detalhes bibliográficos
Autor(a) principal: Heinemann,Alexandre Bryan
Data de Publicação: 2012
Outros Autores: van Oort,Pepijn A.J., Fernandes,Diogo Simões, Maia,Aline de Holanda Nunes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bragantia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052012000400016
Resumo: Crop models are ideally suited to quantify existing climatic risks. However, they require historic climate data as input. While daily temperature and rainfall data are often available, the lack of observed solar radiation (Rs) data severely limits site-specific crop modelling. The objective of this study was to estimate Rs based on air temperature solar radiation models and to quantify the propagation of errors in simulated radiation on several APSIM/ORYZA crop model seasonal outputs, yield, biomass, leaf area (LAI) and total accumulated solar radiation (SRA) during the crop cycle. The accuracy of the 5 models for estimated daily solar radiation was similar, and it was not substantially different among sites. For water limited environments (no irrigation), crop model outputs yield, biomass and LAI was not sensitive for the uncertainties in radiation models studied here.
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spelling Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiationcrop modelcalibrationupland riceCrop models are ideally suited to quantify existing climatic risks. However, they require historic climate data as input. While daily temperature and rainfall data are often available, the lack of observed solar radiation (Rs) data severely limits site-specific crop modelling. The objective of this study was to estimate Rs based on air temperature solar radiation models and to quantify the propagation of errors in simulated radiation on several APSIM/ORYZA crop model seasonal outputs, yield, biomass, leaf area (LAI) and total accumulated solar radiation (SRA) during the crop cycle. The accuracy of the 5 models for estimated daily solar radiation was similar, and it was not substantially different among sites. For water limited environments (no irrigation), crop model outputs yield, biomass and LAI was not sensitive for the uncertainties in radiation models studied here.Instituto Agronômico de Campinas2012-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052012000400016Bragantia v.71 n.4 2012reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/S0006-87052012000400016info:eu-repo/semantics/openAccessHeinemann,Alexandre Bryanvan Oort,Pepijn A.J.Fernandes,Diogo SimõesMaia,Aline de Holanda Nuneseng2013-01-31T00:00:00Zoai:scielo:S0006-87052012000400016Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2013-01-31T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false
dc.title.none.fl_str_mv Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation
title Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation
spellingShingle Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation
Heinemann,Alexandre Bryan
crop model
calibration
upland rice
title_short Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation
title_full Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation
title_fullStr Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation
title_full_unstemmed Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation
title_sort Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation
author Heinemann,Alexandre Bryan
author_facet Heinemann,Alexandre Bryan
van Oort,Pepijn A.J.
Fernandes,Diogo Simões
Maia,Aline de Holanda Nunes
author_role author
author2 van Oort,Pepijn A.J.
Fernandes,Diogo Simões
Maia,Aline de Holanda Nunes
author2_role author
author
author
dc.contributor.author.fl_str_mv Heinemann,Alexandre Bryan
van Oort,Pepijn A.J.
Fernandes,Diogo Simões
Maia,Aline de Holanda Nunes
dc.subject.por.fl_str_mv crop model
calibration
upland rice
topic crop model
calibration
upland rice
description Crop models are ideally suited to quantify existing climatic risks. However, they require historic climate data as input. While daily temperature and rainfall data are often available, the lack of observed solar radiation (Rs) data severely limits site-specific crop modelling. The objective of this study was to estimate Rs based on air temperature solar radiation models and to quantify the propagation of errors in simulated radiation on several APSIM/ORYZA crop model seasonal outputs, yield, biomass, leaf area (LAI) and total accumulated solar radiation (SRA) during the crop cycle. The accuracy of the 5 models for estimated daily solar radiation was similar, and it was not substantially different among sites. For water limited environments (no irrigation), crop model outputs yield, biomass and LAI was not sensitive for the uncertainties in radiation models studied here.
publishDate 2012
dc.date.none.fl_str_mv 2012-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052012000400016
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052012000400016
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0006-87052012000400016
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto Agronômico de Campinas
publisher.none.fl_str_mv Instituto Agronômico de Campinas
dc.source.none.fl_str_mv Bragantia v.71 n.4 2012
reponame:Bragantia
instname:Instituto Agronômico de Campinas (IAC)
instacron:IAC
instname_str Instituto Agronômico de Campinas (IAC)
instacron_str IAC
institution IAC
reponame_str Bragantia
collection Bragantia
repository.name.fl_str_mv Bragantia - Instituto Agronômico de Campinas (IAC)
repository.mail.fl_str_mv bragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br
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