ScienceHub dataset archived at data.gov.

Text below is README.txt file included in the dataset.
=========================================================

This file describes the dataset used in the following article: 

Nolte, C. G., Spero, T. L., Bowden, J. H., Sarofim, M. C., Martinich, J.,
Mallard, M. S. (2021), "Regional Temperature-Ozone Relationships Across 
the U.S. Under Multiple Climate and Emissions Scenarios," J. Air Waste
Manage. Assoc.


MODEL VERSION AND CONFIGURATION

The Community Multiscale Air Quality (CMAQ) model was used. The model is
open source and can be freely downloaded at
http://github.com/USEPA/CMAQ. The specific code version used in this
study was based on a pre-release version of CMAQ 5.3, with minor
modifications to accommodate the USGS28 land-use scheme used in WRF. The
model source code is included in the "src" directory.

The meteorological input data for CMAQ were derived from outputs of the
Community Earth System Model (CESM) and the Coupled Model version 3
(CM3) following Representative Concentration Pathway (RCP) 8.5, which
represents a relatively high warming scenario.  The CESM and CM3 fields
were downscaled to 36-km grid cells over North America using the Weather
Research and Forecasting model. The downscaling and air quality modeling 
procedure are described in the associated manuscript (Nolte et al., 2021) 
and references therein.

CMAQ simulations were conducted using the meteorology downscaled from
the two climate models and using two different sets of anthropogenic
emissions: the 2011 National Emission Inventory and a 2040 projection
developed for analysis of the Heavy Duty Greenhouse Gas Rule. This 2040
projection represents significant reductions relative to present-day of
pollutant emissions, including nitrogen oxides (NOx), sulfur dioxide,
and volatile organic compounds (VOCs). See U.S. EPA (2016) for further
information on the anthropogenic emissions. Climate-sensitive VOCs
emitted from vegetation, e.g., isoprene, were modeled within CMAQ using
the downscaled meteorological projections from WRF. 

CMAQ was used to simulate air pollutant concentrations over
the continental United States using grid cells with 36km x 36km horizontal
spacing, with the height of the lowest model layer around 38 m. Further details
on the model configuration and input data are described in the manuscript.

Figures used in this paper were prepared using version 4.0.3 of the R
programming language. R is open source, and can be downloaded at 
www.r-project.org. The R scripts are labeled according to their figure 
number, and reference all data needed to generate the figures.

REFERENCES
Nolte, C. G., Spero, T. L., Bowden, J. H., Sarofim, M. C., Martinich, J.,
Mallard, M. S. (2021), "Regional Temperature-Ozone Relationships Across 
the U.S. Under Multiple Climate and Emissions Scenarios," Journal of the
Air & Waste Management Association, in press. 

U.S. EPA, Emissions Inventory for Air Quality Modeling Technical
Support Document: Heavy-Duty Vehicle Greenhouse Gase Phase 2 Final Rule,
U.S. Environmental Protection Agency, EPA 420-R-16-008, 2016.


Dataset manifest
README.txt (this file)
  src/  - contains CMAQ source code used for these model runs.
  data/ - contains data files used in plotting scripts. Some files are in
          NetCDF (Network Common Data Form) format, while others (*.Rdata) 
          result from previous data reduction steps, to keep the size of 
          this dataset manageable.
  R/    - contains code to produce all plots used in manuscript
  figs/ - contains copies of figures used in manuscript, generated from
          scripts in the R directory.


This file prepared by:
Christopher G. Nolte
Office of Research and Development
U.S. Environmental Protection Agency
nolte.chris@epa.gov
15 August 2021