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

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...

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Main Authors: Alexandre Bryan Heinemann, Pepijn A.J. van Oort, Diogo Simões Fernandes, Aline de Holanda Nunes Maia
Format: Article
Language:English
Published: Instituto Agronômico de Campinas 2012-01-01
Series:Bragantia
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052012000400016&lng=en&tlng=en
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spelling doaj-97906ebdcf354cf6b7f889ca44bbb61d2020-11-24T21:23:00ZengInstituto Agronômico de CampinasBragantia1678-44992012-01-0171457258210.1590/S0006-87052012000400016S0006-87052012000400016Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiationAlexandre Bryan Heinemann0Pepijn A.J. van Oort1Diogo Simões Fernandes2Aline de Holanda Nunes Maia3EmbrapaWageningen UniversitySIMEHGOEmbrapaCrop 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052012000400016&lng=en&tlng=enmodelos de simulaçãocalibraçãoarroz de terras altas
collection DOAJ
language English
format Article
sources DOAJ
author Alexandre Bryan Heinemann
Pepijn A.J. van Oort
Diogo Simões Fernandes
Aline de Holanda Nunes Maia
spellingShingle Alexandre Bryan Heinemann
Pepijn A.J. van Oort
Diogo Simões Fernandes
Aline de Holanda Nunes Maia
Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation
Bragantia
modelos de simulação
calibração
arroz de terras altas
author_facet Alexandre Bryan Heinemann
Pepijn A.J. van Oort
Diogo Simões Fernandes
Aline de Holanda Nunes Maia
author_sort Alexandre Bryan Heinemann
title Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation
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
publisher Instituto Agronômico de Campinas
series Bragantia
issn 1678-4499
publishDate 2012-01-01
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.
topic modelos de simulação
calibração
arroz de terras altas
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052012000400016&lng=en&tlng=en
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