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

A.B. Heinemann, P.A.J. van Oort, D. Simoes Fernandes, A.H.N. Maia

Research output: Contribution to journalArticleAcademicpeer-review

14 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)572-582
Issue number4
Publication statusPublished - 2012


  • upland rice
  • new-zealand
  • simulation
  • temperature
  • systems
  • variables
  • brazil
  • apsim

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