calibrate_yasso: Calibrate the YASSO model

In jpusa/Ryassofortran: Provides functionality for calling the YASSO15 Fortran-release in R

Description

calibrate_yasso() runs the YASSO model in a way intended for model calibration at the Finnish Meteorological Institute. For most users, it is recommended to instead use run_yasso for simulating soil carbon.

Usage

calibrate_yasso(
  par,
  n_runs,
  time,
  temp,
  prec,
  init,
  litter,
  wsize,
  leac,
  sspred = 0L
)

Arguments

par	A numeric vector of YASSO parameters.
n_runs	Input data. Refer to sample_data_cal for now.
time	-||-
temp	-||-
prec	-||-
init	-||-
litter	-||-
wsize	-||-
leac	-||-
sspred	Optional integer, should steady state mode be used (1 = yes).

Details

calibrate_yasso() wraps the Fortran90-release of the soil carbon model YASSO15 into a simple R-function. The function is intended for calibrating the model using the data sets and methods applied at the Finnish Meteorological Institute.

The function provides YASSO with the initial soil carbon values in the matrix init and runs the model one time step at a time. The initial value of each time step is read from the matrix. The model runs until it has looped over all the time steps.

Value

A matrix containing simulated soil carbon. Each row corresponds to a row in the matrix of initial states provided to the model.

Examples

soil_c <- calibrate_yasso(
 par = sample_parameters,
 n_runs = sample_data_cal$n_runs,
 time = sample_data_cal$time,
 temp = sample_data_cal$temp,
 prec = sample_data_cal$prec,
 init = sample_data_cal$init,
 litter = sample_data_cal$litter,
 wsize = sample_data_cal$wsize,
 leac = sample_data_cal$leac
)

jpusa/Ryassofortran documentation built on Sept. 1, 2021, 6:03 p.m.