Description Usage Format References See Also Examples
This dataset gives the input factors and their uncertainty domains involved in the WWDM model.
EbRadiation use efficiency
EimaxMaximal ratio of intercepted to incident radiation
KCoefficient of extinction
LmaxMaximal value of the Leaf Area Index (LAI)
ACoefficient of LAI increase
BCoefficient of LAI decrease
TITemperature threshold
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an object of the calss mtkExpFactors.
Makowski, D., Jeuffroy, M.-H., Gu\'erif, M., 2004. Bayseian methods for updating crop model predictions, applications for predicting biomass and grain protein content. In: Bayseian Statistics and Quality Modelling in the Agro-Food Production Chain (van Boeakel et al. eds), pp. 57-68. Kluwer, Dordrecht.
Monod, H., Naud, C., Makowski, D., 2006. Uncertainty and sensitivity analysis for crop models. In: Working with Dynamic Crop Models (Wallach D., Makowski D. and Jones J. eds), pp. 55-100. Elsevier, Amsterdam.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | # The code used to generate the WWDM.factors is as follows:
Eb <- make.mtkFactor(name="Eb", distribName="unif",
nominal=1.85, distribPara=list(min=0.9, max=2.8), unit="g/MJ")
Eimax <- make.mtkFactor(name="Eimax", distribName="unif",
nominal=0.94, distribPara=list(min=0.9, max=0.99))
K <- make.mtkFactor(name="K", distribName="unif",
nominal=0.7, distribPara=list(min=0.6, max=0.8))
Lmax <- make.mtkFactor(name="Lmax", distribName="unif",
nominal=7.5, distribPara=list(min=3, max=12), unit="m\u00b2/m\u00b2")
A <- make.mtkFactor(name="A", distribName="unif",
nominal=0.0065, distribPara=list(min=0.0035, max=0.01))
B <- make.mtkFactor(name="B", distribName="unif",
nominal=0.00205, distribPara=list(min=0.0011, max=0.0025))
TI <- make.mtkFactor(name="TI", distribName="unif",
nominal=900, distribPara=list(min=700, max=1100),unit="\u00b0C")
WWDM.factors <- mtkExpFactors(list(Eb,Eimax,K,Lmax,A,B,TI))
# To import the WWDM.factors, just use the following line
data(WWDM.factors)
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