decoupling | R Documentation |
The canopy-atmosphere decoupling coefficient 'Omega'.
decoupling( data, Tair = "Tair", pressure = "pressure", Ga = "Ga_h", Gs = "Gs_ms", approach = c("Jarvis&McNaughton_1986", "Martin_1989"), LAI, Esat.formula = c("Sonntag_1990", "Alduchov_1996", "Allen_1998"), constants = bigleaf.constants() )
data |
Data.frame or matrix containing all required input variables |
Tair |
Air temperature (deg C) |
pressure |
Atmospheric pressure (kPa) |
Ga |
Aerodynamic conductance to heat/water vapor (m s-1) |
Gs |
Surface conductance (m s-1) |
approach |
Approach used to calculate omega. Either |
LAI |
Leaf area index (m2 m-2), only used if |
Esat.formula |
Optional: formula to be used for the calculation of esat and the slope of esat.
One of |
constants |
Kelvin - conversion degree Celsius to Kelvin |
The decoupling coefficient Omega ranges from 0 to 1 and quantifies the
linkage of the conditions (foremost humidity and temperature) at the canopy surface
to the ambient air. Values close to 0 indicate well coupled conditions
characterized by high physiological (i.e. stomatal) control on transpiration
and similar conditions at the canopy surface compared to the atmosphere above
the canopy. Values close to 1 indicate the opposite, i.e. decoupled conditions and
a low stomatal control on transpiration (Jarvis & McNaughton 1986).
The "Jarvis&McNaughton_1986"
approach (default option) is the original
formulation for the decoupling coefficient, given by (for an amphistomatous
canopy):
Ω = (ε + 1) / ( ε + 1 + Ga/Gc)
where ε = s/γ is a dimensionless coefficient with s being the slope of the saturation vapor pressure curve (Pa K-1), and γ the psychrometric constant (Pa K-1).
The approach "Martin_1989"
by Martin 1989 additionally takes radiative coupling
into account:
Ω = (ε + 1 + Gr/Ga) / (ε + (1 + Ga/Gs) (1 + Gr/Ga))
Ω - the decoupling coefficient Omega (-)
Jarvis P.G., McNaughton K.G., 1986: Stomatal control of transpiration: scaling up from leaf to region. Advances in Ecological Research 15, 1-49.
Martin P., 1989: The significance of radiative coupling between vegetation and the atmosphere. Agricultural and Forest Meteorology 49, 45-53.
aerodynamic.conductance
, surface.conductance
,
equilibrium.imposed.ET
# Omega calculated following Jarvis & McNaughton 1986 set.seed(3) df <- data.frame(Tair=rnorm(20,25,1),pressure=100,Ga_h=rnorm(20,0.06,0.01), Gs_ms=rnorm(20,0.005,0.001)) decoupling(df,approach="Jarvis&McNaughton_1986") # Omega calculated following Martin 1989 (requires LAI) decoupling(df,approach="Martin_1989",LAI=4)
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