View source: R/Canopy_scaling.R
f.canopy.interception | R Documentation |
Function to describe the light levels inside the canopy
f.canopy.interception(
meteo_hourly,
lat,
DOY,
nlayers,
dLAI,
LAI,
Rho = 0.11,
Tau = 0.06,
Rho_soil = 0.1,
Rho_NIR = 0.46,
Tau_NIR = 0.33,
Rho_soil_NIR = 0.33,
chil = 0.32,
clumpfac = 0.85,
model = "Norman"
)
meteo_hourly |
Hourly weather data frame with at least the column time (time in numeric, for example 0 to 23),Tair (air temperature in degree C), RH (humidity in pc from 0 to 100), cs the CO2 concentration and PFD the total PFD in micro mol m-2 s-1. |
lat |
Latitude of the canopy to model. |
DOY |
Day of Year . |
nlayers |
Number of layers inside the canopy (max = 50). |
dLAI |
LAI of each one of the n layers of vegetation in the canopy. |
LAI |
Cumulated LAI in the midle of each layer. |
Rho |
Leaf reflectance in the visible wavelengths. |
Tau |
Leaf transmittance in the visible wavelengths. |
Rho_soil |
Soil reflectance in the visible wavelengths. |
Rho_NIR |
Leaf reflectance in the NIR wavelengths. |
Tau_NIR |
Leaf transmittance in the NIR wavelengths. |
Rho_soil_NIR |
Soil reflectance in the NIR wavelengths. |
chil |
Index of departure of the leaf angles from a spherical distribution. -0.4 < chil < 0.6. |
clumpfac |
Clumping factor, index of non random spatial distribution of leaves. = 1 for randomly spaced leaves, <1 for clumed leaves (Chen et al. 2012). |
model |
Model for the radiation interception model, default is Norman (only Norman implemented so far). |
##Simulation of the vegetation
LAItot = 6
nlayers=20
dLAI=rep(6/nlayers,nlayers)
LAI=cumsum(dLAI)-dLAI/2 # LAI in the midle of each layer
##Simulation of the weather
meteo_hourly=data.frame(time=0:23,RH=80,Tair=25,cs=400,PFD=dnorm(x = seq(0,23,1),mean = 12,sd = 2.5)/0.16*2000,Tleaf=25)
##Simulation of position and moment of the simulation
lat=9.2801048
DOY = 60
##Representation of the light interception inside the canopy
canopy=f.canopy.interception(meteo_hourly=meteo_hourly,lat = lat,DOY = DOY,nlayers = nlayers,dLAI = dLAI,LAI=LAI)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.