Description Usage Format References See Also Examples
This dataset gives the input factors and their uncertainty domains involved in the WWDM
model.
Eb
Radiation use efficiency
Eimax
Maximal ratio of intercepted to incident radiation
K
Coefficient of extinction
Lmax
Maximal value of the Leaf Area Index (LAI)
A
Coefficient of LAI increase
B
Coefficient of LAI decrease
TI
Temperature threshold
1 |
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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