CMAQ predicted concentration files
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CMAQ predicted ozone. This dataset is associated with the following publication: Gantt, B., G. Sarwar, J. Xing, H. Simon, D. Schwede, B. Hutzell, R. Mathur, and A. Saiz-Lopez. The Impact of Iodide-Mediated Ozone Deposition and Halogen Chemistry on Surface Ozone Concentrations Across the Continental United States. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(3): 1458-1466, (2017).
CMAQ model data provided by EPA/ORD researchers for Kioutsioukis et al. (2025) paper.
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This dataset contains the EPA-generated CMAQ model data contributed to support the externally-led analysis in the manuscript "Operational, Diagnostic and Probabilistic Evaluation of AQMEII-4 Regional Scale Ozone Dry deposition. Time to Harmonise Our LULC Masks". This dataset is associated with the following publication: Kioutsioukis, I., C. Hogrefe, P. Makar, U. Alyuz, J. Bash, R. Bellasio, R. Bianconi, T. Butler, O. Clifton, P. Cheung, A. Hodzic, R. Kranenburg, A. Lupascu, K. Momoh, J.L. Perez-Camaño, J. Pleim, Y. Ryu, R. San Jose, D. Schwede, R. Sokhi, and S. Galmarini. Operational, diagnostic, and probabilistic evaluation of AQMEII-4 regional-scale ozone dry deposition: time to harmonize our LULC masks. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 25(20): 12923–12953, (2025).
Dataset used in journal article "Source-specific bias correction of US background and anthropogenic ozone modeled in CMAQ." by Skipper et al. (2024), https://doi.org/10.5194/gmd-17-8373-2024
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This archive contains paired observed and simulated ozone concentrations used in Skipper et al. 2024 GMD article "Source-specific bias correction of US background and anthropogenic ozone modeled in CMAQ.". This dataset is associated with the following publication: Skipper, N., C. Hogrefe, B. Henderson, R. Mathur, K. Foley, and A. Russell. Source-specific bias correction of US background and anthropogenic ozone modeled in CMAQ. Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau, GERMANY, 17: 8373–8397, (2024).
Data used in the analysis presented in the manuscript "Dynamic Evaluation of Two Decades of WRF-CMAQ Ozone Simulations over the Contiguous United States"
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Files containing daily maximum 8-hr ozone mixing ratio observations and WRF/CMAQ simulations used in the analysis presented in the manuscript “Dynamic Evaluation of Two Decades of WRF-CMAQ Ozone Simulations over the Contiguous United States”. This dataset is associated with the following publication: Astitha, M., H. Luo, S.T. Rao, C. Hogrefe, R. Mathur, and N. Kumar. Dynamic evaluation of two decades of WRF-CMAQ ozone simulations over the contiguous United States. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 164: 102-116, (2017).
EQUATES CMAQv5.3.2 CB6r5 High Resolution Deposition Data
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These files contain gridded annual dry deposition estimates from 2002 to 2019 from the Environmental Protection Agency’s Community Multiscale Air Quality (CMAQ) model version 5.3.2 (see https://github.com/USEPA/CMAQ/tree/5.3.2) with the revised Surface Tiled Aerosol and Gaseous Exchange (STAGE) model (Appel et al., 2021) created for the EPA’s Air QUAlity TimE Series (EQUATES, https://www.epa.gov/cmaq/equates) project. These deposition fields have been downscaled from the native 12 km resolution to 300 m by mapping STAGE land use specific deposition to Moderate Resolution Imaging Spectrometer (MODIS) 17 category International Geosphere-Biosphere Programme (IGBP) classification scheme. For details on model inputs, please refer to the EPA’s EQUATES (https://www.epa.gov/cmaq/equates) project and Benish et al., 2022.
Improved estimation of trends in U.S. ozone concentrations adjusted for interannual variability in meteorological conditions
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Two .Rdata files containing the data used for the statistical modeling and figures in the paper. daily_2000_2016.Rdata = dataset with daily meteorology and ozone data for 2000 through 2016 ozone_sites_2000_2016.Rdata = dataset with information on the ozone monitoring sites (e.g., longitude, latitude). This dataset is associated with the following publication: Wells, B., P. Dolwick, B. Eder, M. Evangelista, K. Foley, E. Mannshardt, C. Misenis, and A. Weshampel. Improved estimation of trends in U.S. ozone concentrations adjusted for interannual variability in meteorological conditions. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 248: 118234, (2021).
Data for Figure 2. This dataset is associated with the following publication: Sarwar, G., D. Kang, K. Foley, D. Schwede, B. Gantt, and R. Mathur. Technical note: Examining ozone deposition over seawater. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 141: 255–262, (2016).
CMAQ predicted results containing ozone, oxides of nitrogen and other chemical species. This dataset is not publicly accessible because: EPA does not have the dataset as it was created by the Universidad Politécnica de Madrid, Spain. It can be accessed through the following means: The Universidad Politécnica de Madrid created the dataset. Please contact Rafael Borge for the dataset. Email - rafael.borge@upm.es. Format: Dataset includes CMAQ output files in netcdf format. This dataset is associated with the following publication: Paz, D.d.l., R. Borge, J.M.d. Andrés, L. Tovar, G. Sarwar, and S. Napelenok. Summertime tropospheric ozone source apportionment study in Madrid (Spain). Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, N/A, (2023).
Influence of bromine and iodine chemistry on annual, seasonal, diurnal, and background ozone
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COMBINE_CONC_B_2006_annual_O3_AVG.tar contains annual average model predicted ozone without bromine/iodine chemistry COMBINE_CONC_C_2006_annual_O3_AVG.tar contains annual average model predicted ozone with bromine/iodine chemistry COMBINE_CONC_D_2006_annual_O3_AVG.tar contains annual average model predicted ozone with bromine chemistry COMBINE_CONC_E_2006_annual_O3_AVG.tar contains annual average model predicted ozone with iodine chemistry COMBINE_CONC_B_2006_annual_O3_NoAnth_NA_AVG.tar contains annual average model predicted ozone without bromine/iodine chemistry and without anthropogenic emission over North America COMBINE_CONC_C_2006_annual_O3_NoAnth_NA_AVG.tar contains annual average model predicted ozone with bromine/iodine chemistry and without anthropogenic emission over North America. This dataset is associated with the following publication: Sarwar, G., B. Gantt, K. Foley, K. Fahey, T. Spero, D. Kang, R. Mathur, H. Foroutan, J. Xing, T. Sherwen, and A. Saiz-Lopez. Influence of bromine and iodine chemistry on annual, seasonal, diurnal, and background ozone: CMAQ simulations over the Northern Hemisphere. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 213: 395-404, (2019).