m3_get_mort_o3 — m3_get_mort

Produce premature mortality attributable to O3 exposure (measured by the M6M indicator) based on the integrated exposure-response functions (IER) from Jerret et al (2009), consistent with the GBD 2016 study.

m3_get_mort_o3(
  db_path = NULL,
  query_path = "./inst/extdata",
  db_name = NULL,
  prj_name = NULL,
  prj = NULL,
  rdata_name = NULL,
  scen_name,
  queries = "queries_rfasst.xml",
  final_db_year = 2100,
  mort_param = "Jerret2009",
  ssp = "SSP2",
  saveOutput = T,
  map = F,
  anim = T,
  recompute = F
)

Source

Jerrett, M., Burnett, R.T., Pope III, C.A., Ito, K., Thurston, G., Krewski, D., Shi, Y., Calle, E. and Thun, M., 2009. Long-term ozone exposure and mortality. New England Journal of Medicine, 360(11), pp.1085-1095.

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
prj: rgcam loaded project
rdata_name: Name of the RData file. It must contain the queries in a list
scen_name: Vector names of the GCAM scenarios 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")
mort_param: Method to compute the premature mortality estimates used in the plotting: Jerret2009, GBD2016
ssp: Set the ssp narrative associated to the GCAM scenario. c("SSP1","SSP2","SSP3","SSP4","SSP5"). By default is SSP2
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
recompute: If set to T, recomputes the function output. Otherwise, if the output was already computed once, it uses that value and avoids repeating computations. By default=F

Value

Premature mortality attributable to O3 exposure for TM5-FASST regions for all years (# mortalties). The list of countries that form each region and the full name of the region can be found in Table S2.2 in the TM5-FASST documentation paper: Van Dingenen, R., Dentener, F., Crippa, M., Leitao, J., Marmer, E., Rao, S., Solazzo, E. and Valentini, L., 2018. TM5-FASST: a global atmospheric source-receptor model for rapid impact analysis of emission changes on air quality and short-lived climate pollutants. Atmospheric Chemistry and Physics, 18(21), pp.16173-16211.