Near Real Time CMAQ Simulations compared to AQS Observations. This dataset is associated with the following publication: Eder, B., R. Gilliam, G. Pouliot, R. Mathur, and J. Pleim. Continuous, Near Real-Time Evaluation of Air Quality Models: An Approach for the Rapid Scientific Evolution of Modeling Systems. EM Magazine. Air and Waste Management Association, Pittsburgh, PA, USA, 1-6, (2017).

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).

Files containing daily maximum 8-hr ozone mixing ratio observations and WRF/CMAQ simulations that were contributed by EPA/ORD/NERL/CED researchers to the manuscript “On the Limit to the Accuracy of Regional Air Quality Models”. This dataset is associated with the following publication: Rao, S.T., H. Luo, M. Astitha, C. Hogrefe, V. Cover, and R. Mathur. On the limit to the accuracy of regional-scale air quality models. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 20(3): 1627–1639, (2020).

Files containing daily maximum 8-hr ozone mixing ratio observations and WRF/CMAQ simulations that were contributed by EPA/ORD/NERL/CED researchers to the manuscript “On the Limit to the Accuracy of Regional Air Quality Models”. This dataset is associated with the following publication: Rao, S.T., H. Luo, M. Astitha, C. Hogrefe, V. Cover, and R. Mathur. On the limit to the accuracy of regional-scale air quality models. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 20(3): 1627–1639, (2020).

Files containing daily maximum 8-hr ozone mixing ratio observations and WRF/CMAQ simulations that were contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Assessing the manageable portion of ground-level ozone in the contiguous United States”. This dataset is associated with the following publication: Luo, H., M. Astitha, C. Hogrefe, R. Mathur, and S.T. Rao. Assessing the manageable portion of the ozone problem in the contiguous United States. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 70(11): 1136-1147, (2020).

Files containing daily maximum 8-hr ozone mixing ratio observations and WRF/CMAQ simulations that were contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Assessing the manageable portion of ground-level ozone in the contiguous United States”. This dataset is associated with the following publication: Luo, H., M. Astitha, C. Hogrefe, R. Mathur, and S.T. Rao. Assessing the manageable portion of the ozone problem in the contiguous United States. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 70(11): 1136-1147, (2020).

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.

The data for this project include fields that are output from the numerous CMAQ simulations used to build the RSM. This dataset is not publicly accessible because: The data is too large to be included on ScienceHub. It can be accessed through the following means: This data can be accessed by contacting the corresponding authors as will be noted by the peer-reviewed journal. Format: This data is generated by OAQPS and colleagues at Tsinghua university in China. The output data are stored and, if requested, provided in the format of NetCDF. It is stored and preserved on the Atmos high performance computing (HPC) system located at the National Computing Center (NCC). The folder location for raw model data and post-processed data is: /asm1/ROMO. The input data is located in the folder titled: /work/ROMO Data will be copied to the backup automatic storage management (ASM) system after completion of the project to make room for working space on Atmos. This backup system is also located at the National Computing Center, fully accessible form EPA computers at all times and backed up daily or more frequently. In order to facilitate transparency, reproducibility, and credibility throughout the project, the model code will be appropriately commented to indicate the algorithmic functioning in a manner suitable for the general computer programmer. CMAQ source code will be stored on Github at www.github.com/USEPA/CMAQ on the branch labeled ‘5.3.2’. All substantive evolution of the model code will be documented by comments within the code, and the date of the change will be recorded in the standard logs created by Git version control. Project documentation is available via https://www.epa.gov/scram

The data for this project include fields that are output from the numerous CMAQ simulations used to build the RSM. This dataset is not publicly accessible because: The data is too large to be included on ScienceHub. It can be accessed through the following means: This data can be accessed by contacting the corresponding authors as will be noted by the peer-reviewed journal. Format: This data is generated by OAQPS and colleagues at Tsinghua university in China. The output data are stored and, if requested, provided in the format of NetCDF. It is stored and preserved on the Atmos high performance computing (HPC) system located at the National Computing Center (NCC). The folder location for raw model data and post-processed data is: /asm1/ROMO. The input data is located in the folder titled: /work/ROMO Data will be copied to the backup automatic storage management (ASM) system after completion of the project to make room for working space on Atmos. This backup system is also located at the National Computing Center, fully accessible form EPA computers at all times and backed up daily or more frequently. In order to facilitate transparency, reproducibility, and credibility throughout the project, the model code will be appropriately commented to indicate the algorithmic functioning in a manner suitable for the general computer programmer. CMAQ source code will be stored on Github at www.github.com/USEPA/CMAQ on the branch labeled ‘5.3.2’. All substantive evolution of the model code will be documented by comments within the code, and the date of the change will be recorded in the standard logs created by Git version control. Project documentation is available via https://www.epa.gov/scram

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).