biomasse {multisensi} | R Documentation |
The Winter Wheat Dynamic Model
Description
The Winter Wheat Dynamic Model, a toy model to illustrate the main multisensi methods
Usage
biomasse(input, climdata, annee = 3)
Arguments
input |
vector of input values. |
annee |
year. |
climdata |
a meteorological data.frame specific to biomasse. |
Details
The Winter Wheat Dry Matter model (WWDM) is a dynamic crop model
running at a daily time step (Makowski et al, 2004). It has two state
variables, the above-ground winter wheat dry matter U(t)
, in g/m^2
and the leaf area index LAI(t
) with t
the day number from sowing
(t=1
) to harvest (t=223
). In the multisensi package implementation, the
biomasse
function simulates the output for only one parameter set (the
first row of input
if it is a matrix or a data.frame).
Value
a vector of daily dry matter increase of the Winter Wheat biomass, over 223 days
References
Makowski, D., Jeuffroy, M.-H., Gu\'erif, M., 2004 Bayesian methods for updating crop model predictions, applications for predicting biomass and grain protein content. In: Bayesian 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