This Dataset includes 2002-2011 daily average air quality concentrations of multiple species (fine and coarse mode aerosol sulfate, nitrate, calcium, potassium, and sodium; benzene; CO; H2O2; OH; SO2) for Barbados estimated from the Community Multiscale Air Quality (CMAQ) model as part of the EPA's Air Quality Time Series (EQUATES) Project. CMAQ estimates were from simulations of the Northern Hemisphere with horizontal grid spacing of 108 km x 108 km. Model estimates were extracted from the lowest CMAQ model layer (∼ 10 m in thickness) for a source area over the Atlantic Ocean to the east of the island from 14.3989 to 11.45667° N latitude and 59.5627 to 56.54487° W longitude (equivalent to 16 model grid cells with 1 cell over Ragged Point and the others to the east of the site). Modeled meteorological estimates (surface temperature, relative humidity, wind direction, wind speed) for the same set of grid cells was also extracted from simulations of the Weather and Research Forecasting (WRF) meteorological model used in the EQUATES project. Data for each model variable are provided as text files (one file for each variable and year) including date, grid cell center longitude and latitude, grid cell elevation and the the daily average model concentrations. Text files are compressed into .zip files for each variable. This dataset is associated with the following publication: Gaston, C., J. Prospero, K. Foley, H. Pye, L. Custals, E. Blades, P. Sealy, and J. Christie. Diverging trends in aerosol sulfate and nitrate measured in the remote North Atlantic on Barbados are attributed to clean air policies, African smoke, and anthropogenic emissions. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 24(13): 8049–8066, (2024).

The data are described in detail in the uploaded file "Science hub metadata.docx". This dataset is associated with the following publication: Zhang, Y., J. Bash, S. Roselle, A. Shatas, A. Repinsky, R. Mathur, C. Hogrefe, J. Piziali, T. Jacobs, and A. Gilliland. Unexpected air quality impacts from implementation of green infrastructure in urban environments: a Kansas City Case Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 744(20): 140960, (2020).

These data are extracted from output from the Community Multiscale Air Quality (CMAQ) model run with inputs and simulations generated by the EQUATES project. Pollutant concentrations are pulled from the model gridcell corresponding to Baltimore, Maryland, where the measurements for this study were taken. This dataset is associated with the following publication: Sapkota, S., P. Shekhar, B. Murphy, H. Pye, C. Hennigan, and M. El-Sayed. Seasonal Assessment of Secondary Organic Aerosol Formed through Aqueous Pathways in the Eastern United States. ACS Earth and Space Chemistry. American Chemical Society, Washington, DC, USA, 9(4): 876-887, (2025).

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.

CMAQ을 이용하여 예측된 대기오염물질(NO2, SO2, PM2.5, PM10, O3)의 측정지점별 대기예측농도 입니다. 대기질 농도를 이용하여 배출량을 보정하였으며 BASE는 보정이 되지 않은 농도, RCMAQ1은 월간 농도를 이용하여 보정한 농도, RCMAQ2는 지난 3일간의 농도를 이용하여 보정한 농도입니다.

CMAQ results without and with DMS emissions. This dataset is associated with the following publication: Sarwar, G., D. Kang, B. Henderson, C. Hogrefe, K. Appel, and R. Mathur. Examining the Impact of Dimethyl Sulfide Emissions on Atmospheric Sulfate over the Continental U.S.. ATMOSPHERE. MDPI, Basel, SWITZERLAND, 14(4): 660, (2023).

This dataset contains data presented in the figures of the paper "On the implications of aerosol liquid water and phase separation for organic aerosol mass" published in Atmospheric Chemistry and Physics. It also links to the data archive of field observations. This dataset is associated with the following publication: Pye, H., B. Murphy, L. Xu, N. Ng, A. Carlton, H. Guo, R. Weber, P. Vasilakos, W. Appel, S. Budisulistiorini, J. Surratt, A. Nenes, W. Hu, J. Jimenez, G. saacman-VanWertz, P. Misztal, and A. Goldstein. On the implications of aerosol liquid water and phase separation for organic aerosol mass. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 17: 343-369, (2017).

Data set contains CMAQ model output for Look Rock, Tennessee and Centreville, Alabama during summer 2013. This dataset is associated with the following publication: Liu, J., L. Russell, G. Ruggeri, S. Takahama, M. Claflin, P. Ziemann, H. Pye, B. Murphy, L. Xu, N. Ng, K. McKinney, S. Hapsari Budisulistiorini, T. Bertram, A. Nenes, and J. Surratt. Regional Similarities and NOx‐Related Increases in Biogenic Secondary Organic Aerosol in Summertime Southeastern United States. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 123(18): 10,620-10,636, (2018).

The uploaded data consists of the BRACE Na aerosol observations paired with CMAQ model output, the updated model's parameterization of sea salt aerosol emission size distribution, and the model's parameterization of the sea salt emission factor as a function of sea surface temperature. This dataset is associated with the following publication: Gantt , B., J. Kelly , and J. Bash. Updating sea spray aerosol emissions in the Community Multiscale Air Quality (CMAQ) model version 5.0.2. Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau, GERMANY, 8: 3733-3746, (2015).