compute_DWCI: Diurnal water:carbon index (DWCI)

In bgctw/etpart: Partitioning evapotranspiration into transpiration and evaporation

Description

DWCI measures the probability that the carbon and water are coupled within a given day. Method takes the correlation between evapotranspiration (LE) and gross primary productivity (GPP) and calculates the correlation within each day. This correlation is then compared to a distribution of correlations between artificial datasets built from the signal of potential radiation and the uncertainty in the LE and GPP.

Usage

compute_DWCI(data, nrecday = 48, na_value = 0)

Arguments

data	data.frame of sub-daily timeseries with variables Rg_pot Potential radiation ET evapotranspiration or latent energy GPP ross primary productivity VPD vapor pressure deficit NEE net ecosystem exchange ET_sd estimation of the uncertainty of ET GPP_sd eestimation of the uncertainty of GPP NEE_fall Modeled net ecosystem exchange i.e. no noise ET_fall Modeled evapotranspiration or latent energy i.e. no noise
nrecday	integer: frequency of the sub-daily measurements, 48 for half hourly measurements'
na_value	numeric scalar: to replace NA values in correlation Defaults to 0.0 - i.e. no probability of correlation in DWCI.

Value

numeric vector length(data)/nrecday: diurnal water:carbon index (DWCI)

bgctw/etpart documentation built on Dec. 19, 2021, 8:49 a.m.