priego_config: Configure parameters of the Priego transpiration partitioning

Description Usage Arguments Value See Also

View source: R/priego.R

Description

Configure parameters of the Priego transpiration partitioning

Usage

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priego_config(
  C = 1.189,
  par_lower = c(a1 = 0, Do = 0, To = 10, beta = 0),
  par_upper = c(a1 = 400, Do = 0.4, To = 30, beta = 1),
  niter = 2000,
  updatecov = 200,
  ntrydr = 2,
  burninlength = 1200,
  GPPsd_bias2obs = 0.1,
  wWUE = 0.1
)

Arguments

C

Empirical coeficient for C3 species (see Wang et al., 2017; Plant Nature).

par_lower

A vector containing the lower bound of the parameters (a1,Do,To,beta)

par_upper

A vector containing the upper bound of the parameters (a1,Do,To,beta)

niter

number of iterations for the MCMC

updatecov

number of iterations after which the parameter covariance matrix is (re)evaluated based on the parameters kept thus far, and used to update the MCMC jumps.

ntrydr

maximal number of tries for the delayed rejection procedure

burninlength

number of initial iterations to be removed from output.

GPPsd_bias2obs

ratio model_variance, i.e. bias to observation variance This can be inferred by inspecting prediction-data residuals vs observations. The model variance is added to observation variance but relative magnitude does not decrease with number fitted points.

wWUE

(0..1) weight factor of fitting small carbon cost vs fitting GPP

Value

a list with above arguments as entries.

See Also

partition_priego


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