ModelE Climate Simulations

Desert Dust, Industrialization and Agricultural Fires: Health Impacts of Outdoor Air Pollution in Africa

This directory contains data supplements to the journal article "Desert dust, industrialization and agricultural fires: Health impacts of outdoor air pollution in Africa" by Bauer et al. (2019). The data consist of annual mean PM2.5 concentrations and hourly ozone, SO2 and CO surface concentrations for the year 2016.

This study is based upon the NASA GISS climate model, GISS-E2.1, an updated version from model GISS-E2. The model is coupled to the aerosol microphysical scheme, Multiconfiguration Aerosol TRacker of mIXing state (MATRIX) (Bauer et al., 2008). The model is nudged to NCEP horizontal winds. Sea salt and dust emission fluxes are calculated interactively. Additional natural and anthropogenic fluxes are from the CMIP6 inventory (Hoesly et al., 2018; van Marle et al., 2017). Supplementary to the base runs, three experiments were performed: one with no anthropogenic emissions, another with no biomass burning emissions, and lastly, one considering natural sources except biomass burning. These experiments were used to calculate the ‘natural’, the ‘industrial/domestic’, and the ‘biomass burning’ effects of the individual emission sectors on surface concentrations of gases and aerosols.

Download Data

All files are in netCDF format.

The data consist of annual mean PM2.5 concentrations and hourly ozone, SO2 and CO surface concentrations for the year 2016.

FileSizeDate
PM25_giss_ANN_144x90_2016.nc305 kB2019-02-05

Variables in this dataset include:

  • PM25Total — total PM2.5 concentration
  • PM25Natural — natural aerosol PM2.5 concentration
  • PM25Anthropogenic — anthropogenic PM2.5 concentration
  • PM25BiomassBurning — biomass burning PM2.5 concentrations
  • PM25noBB — PM2.5 when all sources are turned on but biomass burning
  • PM25noANT — PM2.5 when all sources are turned on but industrial and domestic emissions

Hourly ozone, SO2 and CO surface concentrations are available in the monthly datasets. Each file is 155 MB.

FileSizeDate
APR2016.subddAFamp_base.nc110 MB2019-02-05
AUG2016.subddAFamp_base.nc110 MB2019-02-05
DEC2016.subddAFamp_base.nc110 MB2019-02-05
FEB2016.subddAFamp_base.nc110 MB2019-02-05
JAN2016.subddAFamp_base.nc110 MB2019-02-05
JUL2016.subddAFamp_base.nc110 MB2019-02-05
JUN2016.subddAFamp_base.nc110 MB2019-02-05
MAR2016.subddAFamp_base.nc110 MB2019-02-05
MAY2016.subddAFamp_base.nc110 MB2019-02-05
NOV2016.subddAFamp_base.nc110 MB2019-02-05
OCT2016.subddAFamp_base.nc110 MB2019-02-05
SEP2016.subddAFamp_base.nc110 MB2019-02-05

Note: If you use a command-line tool (e.g., Wget) to download datasets from here, please be sure to use a recent version that uses the HTTP/1.1 protocol.

Reference

Bauer S.E, U. Im, K. Mezuman. and C. Y. Gao, 2019: Desert dust, industrialization and agricultural fires: Health impacts of outdoor air pollution in Africa, J. Geophys. Res. Atmos., 124, no. 7, 4104-4120, doi:10.1029/2018JD029336.

Bauer, S.E., D.L. Wright, D. Koch, E.R. Lewis, R. Mcgraw, L.S. Chang, S.E. Schwartz, and R. Ruedy, 2008: MATRIX (Multiconfiguration Aerosol TRacker of mIXing state): An aerosol microphysical module for global atmospheric models, Atmos. Chem. Phys., 8, 6003–6035, doi:10.5194/acp-8-6003-2008.

Hoesly, R.M., S.J. Smith, L. Feng, Z. Klimont, G. Janssens-Maenhout, T. Pitkanen, J.J. Seibert, K. Vu, R.J. Andres, R.M. Bolt, T.C. Bond, L. Dawidowski, N. Kholod, J.-I. Kurokawa, M. Li, L. Liu, Z. Lu, M.C.P. Moura, P.R. Rourke, and Q. Zhang, 2018: Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS), Geosci. Model Dev., 11, 369–408, doi:10.5194/gmd-11-369-2018.

Van Marle, M.J.E., S. Kloster, B.I. Magi, J.R. Marlon, A.-L. Daniau, R.D. Field, A. Arneth, M. Forrest, S. Hantson, N.M. Kehrwald, W. Knorr, G. Lasslop, F. Li, S. Mangeon, C. Yue, J.W. Kaiser, and G.R. van der Werf, 2017: Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750–2015), Geosci. Model Dev., 10, 3329–3357, doi:10.5194/gmd-10-3329-2017.

Contact

Please address questions about these datasets to Dr. Susanne Bauer.