Files containing daily average NO, NO2, CO, and EC concentrations simulated by WRF/CMAQ at 36 km resolution for the time period 1990 – 2010. These data were contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Four decades of United States mobile source pollutants: spatial-temporal trends assessed by ground-based monitors, air quality models, and satellites”. Portions of this dataset are inaccessible because: Data files have now been uploaded. They can be accessed through the following means: Data files have now been uploaded. Format: Data files have now been uploaded. This dataset is associated with the following publication: Henneman, L., H. Shen, C. Hogrefe, A. Russell, and C. Zigler. Four Decades of United States Mobile Source Pollutants: Spatial–Temporal Trends Assessed by Ground-Based Monitors, Air Quality Models, and Satellites. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(2): 882-892, (2021).

This data were used to generate the figures in the peer-reviewed publication "Reactive organic carbon air emissions from mobile sources in the United States" published by Atmospheric Chemistry and Physics in 2023. The data were produced by analyses of the Motor Vehicle Emissions Simulator (MOVES) and the Community Multiscale Air Quality (CMAQ) model, both developed by EPA (OTAQ and ORD respectively). The analysis focuses on the impact of adjustments to national-level mobile source emissions when considering artifacts from filter measurements and inclusion of intermediate volatility organic compounds which are potent precursors of particulate matter.

This data were used to generate the figures in the peer-reviewed publication "Reactive organic carbon air emissions from mobile sources in the United States" published by Atmospheric Chemistry and Physics in 2023. The data were produced by analyses of the Motor Vehicle Emissions Simulator (MOVES) and the Community Multiscale Air Quality (CMAQ) model, both developed by EPA (OTAQ and ORD respectively). The analysis focuses on the impact of adjustments to national-level mobile source emissions when considering artifacts from filter measurements and inclusion of intermediate volatility organic compounds which are potent precursors of particulate matter.

This dataset contains the data contributed by EPA/ORD/NERL/CED researchers to the manuscript "Influence of anthropogenic emissions and boundary conditions on multi-model simulations of major air pollutants over Europe and North America in the framework of AQMEII3" led by Dr. Ulas Im of Aarhus University in Denmark. This dataset is associated with the following publication: Im, U., J. Christensen, C. Geels, K. Hansen, J. Brandt, E. Solazzo, U. Alyuz, A. Balzarini, R. Baro, R. Bellasio, R. Bianconi, J. Bieser, A. Colette, G. Curci, A. Farrow, J. Flemming, A. Fraser, P. Jimenez-Guerrero, N. Kitwiroon, P. Liu, U. Nopmongcol, L. Palacios-Peña, G. Pirovano, L. Pozolli, M. Prank, R. Rose, R. Sokhi, P. Tuccella, A. Unal, M. Garcia Vivanco, G. Yarwood, C. Hogrefe, and S. Galmarini. Influence of anthropogenic emissions and boundary conditions on multi-model simulations of major air pollutants over Europe and North America in the framework of AQMEII3. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 18: 8929-8952, (2018).

This dataset contains the data contributed by EPA/ORD/NERL/CED researchers to the manuscript "Influence of anthropogenic emissions and boundary conditions on multi-model simulations of major air pollutants over Europe and North America in the framework of AQMEII3" led by Dr. Ulas Im of Aarhus University in Denmark. This dataset is associated with the following publication: Im, U., J. Christensen, C. Geels, K. Hansen, J. Brandt, E. Solazzo, U. Alyuz, A. Balzarini, R. Baro, R. Bellasio, R. Bianconi, J. Bieser, A. Colette, G. Curci, A. Farrow, J. Flemming, A. Fraser, P. Jimenez-Guerrero, N. Kitwiroon, P. Liu, U. Nopmongcol, L. Palacios-Peña, G. Pirovano, L. Pozolli, M. Prank, R. Rose, R. Sokhi, P. Tuccella, A. Unal, M. Garcia Vivanco, G. Yarwood, C. Hogrefe, and S. Galmarini. Influence of anthropogenic emissions and boundary conditions on multi-model simulations of major air pollutants over Europe and North America in the framework of AQMEII3. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 18: 8929-8952, (2018).

This web service contains the following layer: PM25_2014_SesonReview_35CBSA. Full FGDC metadata records for each layer may be found by clicking the layer name at the web service endpoint (available through the online link provided above) and viewing the layer description.

This web service contains the following layer: PM25_2014_SesonReview_35CBSA. Full FGDC metadata records for each layer may be found by clicking the layer name at the web service endpoint (available through the online link provided above) and viewing the layer description.

The US EPA developed a set of modeled meteorology, emissions, air quality and pollutant deposition spanning the years 2002 through 2019. Modeled datasets cover the Conterminous US (CONUS) at a 12km horizontal grid spacing (12US1) and the Northern Hemisphere at a 108km (108NHEMI) using WRFv4.1.1 for meteorology and CMAQv5.3.2 for air quality modeling. New hemispheric and North American emissions inventories were developed using, to the extent possible, consistent input data and methods across all years, including emissions from mobile, fire, and oil and gas sources. Collectively these model outputs represent 100s of TB of data. We have selected a subset of the model input and output datasets that we hope will be most useful to the air quality research community. These datasets include: - Emissions inventory files for the CONUS for 2002-2019 suitable for input into the Sparse Matrix Operator Kernel Emissions (SMOKE) emission processor - CMAQ-ready emissions, initial conditions and boundary condition input files for the 12US1 domain for 2002-2019 - CMAQ-ready meteorology files for the 12US1 domain for 2013-2019. (Fewer years of meteorology data are included due to space constraints.) - Matched meteorology model output with surface observations for 2002-2019 - Daily average CMAQ output for the 12US1 domain for 2002-2019 for 14 pollutants - Daily average 3D CMAQ output for 44 layers for the 108NHEMI domain for 2002–2019