gc_model: Calculation of gc

In oscarperezpriego/ETpartitioning: Partitioning of eddy covariance ET into flux components

Description

Calculation of canopy stomatal conductance using Jarvis's approach.

Usage

gc_model(par, data, Q, VPD, Tair, gcmax)

Arguments

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).

Details

the following metrics are calculated:

gc_model <- gcmax*f(Q)*f(VPD)*f(Tair)

Value

a numeric value:

gc_model

canopy leaf conductance (untis refer to that given by gmax)

References

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

Examples

 ## 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)

oscarperezpriego/ETpartitioning documentation built on June 4, 2019, 12:13 a.m.