m2_get_conc_pm25 — m2_get_conc

Produce fine particulate matter (PM2.5) concentration levels for TM5-FASST regions based on re-scaled emission pathways.

m2_get_conc_pm25(
  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,
  saveOutput = T,
  map = F,
  anim = T,
  recompute = F,
  downscale = F,
  saveRaster_grid = F,
  agg_grid = F,
  save_AggGrid = F
)

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")
saveOutput: Writes the 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
downscale: If set to T, produces gridded PM2.5 outputs and plots By default=F
saveRaster_grid: If set to T, writes the raster file with weighted PM25 By default=F
agg_grid: Re-aggregate (downscaled) gridded data to any provided geometries (shape file). For the moment, only "NUTS3" available
save_AggGrid: If set to T, writes the raster file with the reaggregated PM25 By default=F

Value

Particulate matter (PM2.5) concentration levels for each TM5-FASST regions for all years (ug/m3).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.