Takes site information for a single or multiple sites and grabs all data required for a p-model run in rsofun.
Usage
format_drivers(
siteinfo,
params_siml = list(spinup = TRUE, spinupyears = 10, recycle = 1, soilmstress = FALSE,
tempstress = FALSE, calc_aet_fapar_vpd = FALSE, in_ppfd = TRUE, in_netrad = FALSE,
outdt = 1, ltre = FALSE, ltne = FALSE, ltrd = FALSE, ltnd = FALSE, lgr3 = TRUE, lgn3
= FALSE, lgr4 = FALSE),
params_modl = list(kphio = 0.09423773, soilm_par_a = 0.33349283, soilm_par_b =
1.45602286, tau_acclim_tempstress = 10, par_shape_tempstress = 0),
df_soiltexture = bind_rows(top = tibble(layer = "top", fsand = 0.4, fclay = 0.3, forg =
0.1, fgravel = 0.1), bottom = tibble(layer = "bottom", fsand = 0.4, fclay = 0.3, forg
= 0.1, fgravel = 0.1)),
bias_correction = FALSE,
verbose = TRUE,
run_model = FALSE,
flux_data
)Arguments
- siteinfo
data frame using minimum information required being five columns: sitename, lon, lat, start_year, end_year
- params_siml
simulation parameters (preset)
- params_modl
model parameters (preset)
- df_soiltexture
soil data specifics (preset)
- bias_correction
bolean TRUE/FALSE, when using high resolution locations set the bias correction to TRUE, for global runs leave FALSE (default)
- verbose
provide verbose output (default = FALSE)
- run_model
shoud model evaluation be run, which returns evaluated data instead of driver files?