integrate all the workflow together

yield_impact(
  pr_hist_ncdf = NULL,
  pr_proj_ncdf = NULL,
  tas_hist_ncdf = NULL,
  tas_proj_ncdf = NULL,
  timestep = "monthly",
  historical_periods = NULL,
  climate_hist_dir = NULL,
  climate_impact_dir = NULL,
  climate_model = "gcm",
  climate_scenario = "rcp",
  member = "member",
  bias_adj = "ba",
  cfe = "no-cfe",
  gcam_version = "gcam7",
  use_default_coeff = FALSE,
  base_year = NULL,
  start_year = NULL,
  end_year = NULL,
  smooth_window = 20,
  co2_hist = NULL,
  co2_proj = NULL,
  diagnostics = TRUE,
  output_dir = file.path(getwd(), "output")
)

Arguments

pr_hist_ncdf

Default = NULL. list of paths for historical precipitation NetCDF files from ISIMIP

pr_proj_ncdf

Default = NULL. list of paths for projected precipitation NetCDF files from ISIMIP

tas_hist_ncdf

Default = NULL. list of paths for historical temperature NetCDF files from ISIMIP

tas_proj_ncdf

Default = NULL. list of paths for projected temperature NetCDF files from ISIMIP

timestep

Default = 'monthly'. string for input climate data time step (e.g., 'monthly', 'daily')

historical_periods

Default = NULL. vector for years to subset from the historical climate data. If NULL, use the default climate data period

climate_hist_dir

Default = NULL. string for path to the historical precipitation and temperature files by irrigation type and crop type. The climate files must follow the same structure as the output of the weighted_climate function. Provide path to this argument when pr_hist_ncdf and tas_hist_ncdf are NULL.

climate_impact_dir

Default = NULL. string for path to the projected precipitation and temperature files by irrigation type and crop type. The climate files must follow the same structure as the output of the weighted_climate function. Provide path to this argument when pr_proj_ncdf and tas_proj_ncdf are NULL.

climate_model

Default = 'gcm'. string for climate model name (e.g., 'CanESM5')

climate_scenario

Default = 'rcp'. string for climate scenario name (e.g., 'ssp245')

member

Default = 'member'. string for the ensemble member name

bias_adj

Default = 'ba'. string for the dataset used for climate data bias adjustment

cfe

Default = 'no-cfe'. string for whether the yield impact formula implemented CO2 fertilization effect

gcam_version

Default = 'gcam7'. string for the GCAM version. Only support gcam6 and gcam7

use_default_coeff

Default = FALSE. binary for using default regression coefficients. Set to TRUE will use the default coefficients instead of calculating coefficients from the historical climate data.

base_year

Default = NULL. integer for the base year (for GCAM)

start_year

Default = NULL. integer for the start year of the projected data

end_year

Default = NULL. integer for the end year of the projected data

smooth_window

Default = 20. integer for smoothing window in years

co2_hist

Default = NULL. data table for historical CO2 concentration in columns [year, co2_conc]. If NULL, use built-in CO2 emission data

co2_proj

Default = NULL. data table for projected CO2 concentration in columns [year, co2_conc]. If NULL, use built-in CO2 emission data

diagnostics

Default = TRUE. Logical for performing diagnostic plot

output_dir

Default = file.path(getwd(), 'output'). String for output directory