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mtk (version 1.0)

WWDM.factors: The input factors of the WWDM model

Description

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

Usage

data(WWDM.factors)

Arguments

Format

an object of the calss mtkExpFactors.

References

  1. 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.
  2. 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.

See Also

help(WWDM)

Examples

Run this code
# 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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