Skip to contents

gcam_agprodchange

Source: R/gcam_agprodchange.R
gcam_agprodchange.Rd

Map country level yield impacts to GCAM region-GLU level Calculate agricultural productivity change by region GLU Output agprodchange XML

Usage

gcam_agprodchange(
  data = NULL,
  gcamdata_dir = NULL,
  climate_model = "gcm",
  climate_scenario = "rcp",
  member = "member",
  bias_adj = "ba",
  gcam_version = "gcam7",
  gcam_timestep = 5,
  cfe = "no-cfe",
  base_year = 2015,
  diagnostics = TRUE,
  output_dir = file.path(getwd(), "output")
)

Arguments

data

Default = NULL. Output data frame from function yield_shock_projection, or similar format of data

gcamdata_dir

Default = NULL. String for directory to the gcamdata folder within the specific GCAM version. The gcamdata need to be run with drake to have the CSV outputs beforehand.

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

gcam_version

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

gcam_timestep

Default = 5. Integer for the time step of GCAM (Select either 1 or 5 years for GCAM use)

cfe

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

base_year

Default = 2015. Integer for the base year (for GCAM)

diagnostics

Default = TRUE. Logical for performing diagnostic plot

output_dir

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

Value

A data frame of formatted agricultural productivity change for GCAM