Air Quality Modeling
IWDW Air Quality Modeling Platforms include WAQS AQ modeling platforms, derivative platforms that are based on WAQS platforms, AQ modeling platform provided by the EPA,
and legacy 3SAQS platforms (The 3SAQS was the predecessor to the WAQS). To view modeling platform file contents, or to request data files from a modeling platform,
click on either a WAQS or External Modeling Platform link, below. The IWDW also hosts a WAQS 2014 modeling platform wiki
- WAQS Modeling Platforms
- External Modeling Platforms
- Air Quality Model Inputs
- Source Apportionment Modeling
WAQS Air Quality Modeling Platforms are developed with oversight by WAQS Cooperators. The platforms include modeling software,
NEI based emissions with updates for the intermountain west region, meteorology, boundary conditions and other AQ model inputs, and 3D model outputs.
Recent WAQS platforms include inputs and software to run CAMx and CMAQ. Scripts and ancillary data for SMOKE emissions processing
are included in the platform distributions. Click on the links below to browse respective WAQS and 3SAQS (the 3SAQS, or Three State Air Qulaity Study,
was the predecessor to the WAQS) modeling platform contents.
External platforms are modeling platforms either wholly or partially developed by groups external to the WAQS. Derivative platforms are those that are developed by organizations
external to the WAQS, although they made use of some components of a WAQS platforms. The IWDW also provides access to modeling platforms developed by the USEPA.
- CARRMS 2.0
CARRMS is a Colorado BLM sponsored modeling study that was "windowed" (i.e., run over a smaller spatial extent) from the final Western Air Quality Study (WAQS) 2011b Base Case emissions to
generate CAMx-ready emissions for the CARMMS 2.0 12/4 km domain. The study included 2025 future year emissions inventory obtained directly from the WAQS
2025 modeling platform. The CARRMS 2.0 MPE report is available on the BLM CARRMS 2.0 website.
The modeling study TSD and other information is available on the WRAP SNMOS website.
- DNFR 2017 O3
- USEPA 2011 O3 Transport
- USEPA WRF/MMIF 2013-2014
EPA's 12km CONUS WRF modeling will be evaluated for use in WAQS 2014 AQ modeling
The Sparse Matrix Operator Kerner Emissions Modeling System is used to generate model ready emissions inputs for WAQS AQ modeling. WAQS modeling platforms include scripts and
ancillary data required to run SMOKE.
2014 WAQS AQ modeling will use WRF meteorology processed for specific PGM AQ models as meteorology inputs.
2014 WAQS AQ modeling will use GEOS-Chem global tracer model output for estimating boundary conditions. EPA's 2014 GEOS-Chem output files are available with the WAQS 2014 AQ modeling platform.
Chemistry inputs for CAMx and certain CMAQ specific inputs are included with the WAQS modeling platforms.
The links below lead to visualization tools for source apportionment modeling results. The tools and SA modeling were produced by Ramboll-Environ. Some of the SA
modeling studies have wiki pages with detailed information on the modeling approach and additional documentation (see wiki links, below). An additional SA
provides information on the use of particulate source apportionment modeling to identify most impaired visibility days in IMPROVE monitoring data.
- 3SAQS 2008b
2008 3SAQS SA modeling estimated source category-specific contributions to Daily Maximum 8-Hour Ozone Concentrations at monitoring sites in the
4km Detailed Source Apportionment Domain (DSAD) for the Three-State Air Quality Study (3SAQS).
- 3SAQS 2011a
Round 1 of the 2011 3SAQS SA modeling estimated geographic contributions to Daily Maximum 8-Hour Ozone Concentrations at AQS and CASTNet monitoring sites in the
4km and 12km WAQS modeling domains, and across a virtual receptor grid within the 12km modeling domain.
- WAQS 2011b
Round 2 of the 2011 WAQS SA modeling estimated source category-specific contributions to the Daily Maximum 8-Hour Ozone Concentrations at AQS and CASTNet monitoring sites in the WAQS
4km and 12km modeling domains, and across a virtual receptor grid within the 12km modeling domain.
The Southern New Mexico Ozone Study (SNMOS) conducted PGM AQ modeling to help understand the causes of observed high ozone concentrations
in Doña Ana County in southern New Mexico. Source apportionment modeling is based on the WAQS 2011b CAMx AQ modeling results for 2011 base
year and 2025 future case modeling scenarios.
- Denver Metro/Northern Front Range - Local Source Analysis
2017 Ozone Source Apportionment Modeling for the 2008 0.075 ppm ozone NAAQS.
The Local Source Analysis studied ozone contributions from different source sectors within Colorado.
Source apportionment modeling is based on the WAQS 2011b CAMx AQ modeling results.
- Add 2011_v2 to 2011b platform description
- Follow up with MH on MT study for external platforms
- Develop platform descriptions for CARRMS, SNMOS, DNFR