eval_sofun: Evaluates SOFUN model outputs.

In computationales/sofunCalVal: Calibrate and validate rsofun

Evaluates SOFUN model outputs.

Description

Calculates a set of perfomance metrics for model outputs, compared against observational data. Currently only evaluations of GPP model outputs, compared agains FLUXNET 2015 data, are implemented.

Usage

eval_sofun(
  mod,
  settings,
  obs_eval = NA,
  overwrite = TRUE,
  doplot = FALSE,
  light = FALSE
)

Arguments

mod	Object returned by runread_pmodel_f. This is a nested dataframe with sites along rows and a nested column "data" containing model outputs with columns "date" (date object created by lubridate::ymd()) and "varnam". where "varnam" corresponds to names(settings$benchmark).
settings	A list specifying evaluation settings (see vignette eval_sofun.pdf for more information and examples)
obs_eval	(Optional) A named list of data frames containing observational data for each sites. The names of list elements corresponds to site names. Defaults to NA
overwrite	(Optional) A logical specifying whether temporary data stored in ./tmpdir should be overwritten. Defaults to TRUE.
doplot	(Optional) A logical specifying whether plots should be saved. Defaults to FALSE.
light	(Optional) A logical specifying whether reduced data should saved. Defaults to FALSE.

Value

A list containing data frames of modelled and observed values aggregated to several temporal scales (ddf for daily, xdf for X-daily, mdf for monthly, adf for annual), data frames of respective performance metrics, and functions for plotting respective data.

computationales/sofunCalVal documentation built on June 12, 2025, 6:59 a.m.