m2_get_conc_o3: m2_get_conc_o3

In JGCRI/rfasst: rfasst

m2_get_conc_o3

Description

Produce ozone (O3) concentration levels based on re-scaled emission pathways.

Usage

m2_get_conc_o3(
  db_path,
  query_path,
  db_name,
  prj_name,
  scen_name,
  queries,
  final_db_year = 2100,
  saveOutput = T,
  ch4_o3 = 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
ch4_o3	Includes the CH4 effect on O3 based on Fiore et al (2008).By default=T
map	Produce the maps. By default=F
anim	If set to T, produces multi-year animations. By default=T

Value

Produce ozone (O3) levels for each TM5-FASST regions for all years (ppb). 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.

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