Description Usage Arguments Details Value References Examples
Calculation of canopy stomatal conductance using Jarvis's approach.
1 |
par |
Set of parameter for the respective sensitivity funciton. |
data |
Data.frame or matrix containing all required variables. |
Q |
Vector containing time series of photosynthetic active radiation (umol CO2 m-2 s-1) |
VPD |
Vector containing time series of vapor pressure deficit (kPa). |
Tair |
Vector containing time series of air temperature (deg C). |
gcmax |
Empirical parameter defining maximum conductance (m s-1 or mol m-2 s-1). |
the following metrics are calculated:
gc_model <- gcmax*f(Q)*f(VPD)*f(Tair)
a numeric value:
gc_model |
canopy leaf conductance (untis refer to that given by gmax) |
Perez-Priego, O., G. Katul, M. Reichstein et al. Partitioning eddy covariance water flux components using physiological and micrometeorological approaches, Journal of Geophysical Research: Biogeosciences. In press
1 2 3 4 5 6 7 8 9 | ## Selecting a single day (e.g. 15-05-2011)
tmp <- EddySample[ EddySample$TIMESTAMP_START> 201105150000,]
tmp <- tmp[tmp$TIMESTAMP_START< 201105160000,]
gc_model(par=c(200, 0.2, 25)
,data= tmp
,Q = "PPFD_IN"
,VPD = "VPD_F"
,Tair = "TA_F"
,gcmax = 1)
|
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