m4_get_prod_loss: m4_get_prod_loss

In JGCRI/rfasst: rfasst

m4_get_prod_loss

Description

Produce agricultural production losses attributable to ozone exposure for all GCAM crops. Losses have been calculated using two ozone exposure indicators: AOT40 and Mi.

Usage

m4_get_prod_loss(
  db_path,
  query_path,
  db_name,
  prj_name,
  scen_name,
  queries,
  final_db_year = 2100,
  saveOutput = T,
  map = F,
  anim = T
)

Arguments

db_path	Path to the GCAM database
query_path	Path to the query file
db_name	Name of the GCAM database
prj_name	Name of the rgcam project. This can be an existing project, or, if not, this will be the name
scen_name	Name of the GCAM scenario to be processed
queries	Name of the GCAM query file. The file by default includes the queries required to run rfasst
final_db_year	Final year in the GCAM database (this allows to process databases with user-defined "stop periods")
saveOutput	Writes the emission files.By default=T
map	Produce the maps. By default=F
anim	If set to T, produces multi-year animations. By default=T

Value

Ag losses attributable to O3 for each GCAM region for all years (Mt).The countries that form each GCAM region are listed in the documentation repository: https://github.com/JGCRI/gcam-doc/blob/gh-pages/overview.md The list of commodities within each category can be found in: Kyle, G.P., Luckow, P., Calvin, K.V., Emanuel, W.R., Nathan, M. and Zhou, Y., 2011. GCAM 3.0 agriculture and land use: data sources and methods (No. PNNL-21025). Pacific Northwest National Lab.(PNNL), Richland, WA (United States), and in Sampedro, J., Waldhoff, S.T., Van de Ven, D.J., Pardo, G., Van Dingenen, R., Arto, I., del Prado, A. and Sanz, M.J., 2020. Future impacts of ozone driven damages on agricultural systems. Atmospheric Environment, 231, p.117538, Table S2.

JGCRI/rfasst documentation built on Feb. 2, 2023, 12:14 a.m.