L1_cation.txt is a text dump of CEC data from EPIC output for the 12 km CMAQ grid for each of 42 crop types CMAQv53_bidi_fix_NH3_290871_scatterplot.csv is data table used for scatter plot of observed vs AMoN NH3 concentrations shown is fig 5 in the paper CMAQv53_bidi_fix_PM25_NH4_494657_spatialplot_diff.csv is the data table used to produce the spatial plot of the biases in modeled ammonium PM2.5 (g m-3) compared to CSN (circles), CASTNet (triangles), and SEARCH (squares) networks averaged over May to September 2016 as shown in Fig6. CMAQv53_bidi_fix_PM25_SO4_886932_spatialplot_diff.csv is the data table used to produce the spatial plot of the biases in modeled sulfate PM2.5 (g m-3) compared to IMPROVE (circles), CSN (triangles), CASTNET (squares), and SEARCH (diamonds) networks averaged over May to September 2016. This dataset is associated with the following publication: Pleim, J., L. Ran, K. Appel, M. Shephard, and K. Cady-Pereira. New Bidirectional Ammonia Flux Model in an Air Quality Model Coupled With an Agricultural Model. Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 11(9): 2934-2957, (2019).

These data are described in the associated publication and consist of a 2017 model simulation of EPA’s Community Multiscale Air Quality (CMAQ) model version 5.3.2 with updated mobile NH3 emission factors for diesel and gasoline vehicles. CMAQ model results are evaluated against AMoN and AQS monitoring networks and CrIS satellite retrievals. This dataset is associated with the following publication: Toro Vergara, C., D. Sonntag`, J. Bash, G. Burke, B. Murphy, K. Seltzer, H. Simon, M. Shephard, and K. Cady-Pereira. Sensitivity of Air Quality to Vehicle Ammonia Emissions in the United States. ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam, NETHERLANDS, 327: 120484, (2024).

This dataset contains statistical model (NH3_STAT) data. Global ammonia (NH3) emissions into the atmosphere are projected to increase in the coming years with the increased use of synthetic nitrogen fertilizers and cultivation of nitrogen-fixing crops. A statistical model (NH3_STAT) is developed for characterizing atmospheric NH3 emissions from agricultural soil sources, and compared to the performance of other global and regional NH3 models (e.g., EDGAR, MASAGE, MIX and U.S. EPA). The statistical model was developed by expressing a multiple linear regression equation between NH3 emission and the physicochemical variables. The model was evaluated for 2012 NH3 emissions. The results indicate that, in comparison to other data sets, the model provides a lower global NH3 estimate by 57%, (NH3_STAT: 13.9 Tg N yr-1; EDGAR: 33.0 Tg N yr-1). We also performed a region-based analysis (U.S., India, and China) using the NH3_STAT model. For the U.S., our model produces an estimate that is 143% higher in comparison to EPA. Meanwhile, the NH3_STAT model estimate for India shows NH3 emissions between -0.8 and 1.4 times lower when compared to other data sets. A lower estimate is also seen for China, where the model estimates NH3 emissions 0.4-5 times lower than other datasets. The difference in the global estimates is attributed to the lower estimates in major agricultural countries like China and India. The statistical model captures the spatial distribution of global NH3 emissions by utilizing a simplified approach compared to other readily available datasets. Moreover, the NH3_STAT model provides an opportunity to predict future NH3 emissions in a changing world.

These data are monthly mean annual CMAQ simulations as described in the manuscript. This dataset is associated with the following publication: Wang, R., X. Guo, D. Pan, J. Kelly, J. Bash, K. Sun, F. Paulot, L. Clarisse, M. Van Damme, S. Whitburn, P. Coheur, C. Clerbaux, and M.A. Zondlo. Monthly Patterns of Ammonia Over the Contiguous United States at 2-km Resolution. GEOPHYSICAL RESEARCH LETTERS. American Geophysical Union, Washington, DC, USA, 48(5): e2020GL090579, (2021).

These data are monthly mean annual CMAQ simulations as described in the manuscript. This dataset is associated with the following publication: Wang, R., X. Guo, D. Pan, J. Kelly, J. Bash, K. Sun, F. Paulot, L. Clarisse, M. Van Damme, S. Whitburn, P. Coheur, C. Clerbaux, and M.A. Zondlo. Monthly Patterns of Ammonia Over the Contiguous United States at 2-km Resolution. GEOPHYSICAL RESEARCH LETTERS. American Geophysical Union, Washington, DC, USA, 48(5): e2020GL090579, (2021).

The data in this archive in in a zipped R data binary format, https://cran.r-project.org/doc/manuals/r-release/R-data.html. These data can be read by using the open source and free to use statistical software package R, https://www.r-project.org/. The data are organized following the figure numbering in the manuscript, e.g. Figure 1a is fig1a, and contains the same labeling as the figures including units and variable names. For a full explanation of the figure, please see the captions in the manuscript. To open this data file, use the following commands in R. > load(‘JKelly_NH4NO3_JGR_2018.rdata’) To list the contents of the file, use the following command in R > ls() The data for each figure is contained in the data object with the figures name. To list the data, simply type the name of the figure returned from the ls() command. The original model output and emissions used for this study are located on the ASM archived storage at /asm/ROMO/finescale/sjv2013. These data are in NetCDF format with self contained metadata with descriptive headers containing variable names, units, and simulation times. This dataset is associated with the following publication: Kelly, J., C. Parworth, Q. Zhang, D. Miller, K. Sun, M. Zondlo , K. Baker, A. Wisthaler, J. Nowak , S. Pusede , R. Cohen , A. Weinheimer , A. Beyersdorf , G. Tonnesen, J. Bash, L. Valin, J. Crawford, A. Fried , and J. Walega. Modeling NH4NO3 Over the San Joaquin Valley During the 2013 DISCOVER‐AQ Campaign. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 123(9): 4727-4745, (2018).

The data in this archive in in a zipped R data binary format, https://cran.r-project.org/doc/manuals/r-release/R-data.html. These data can be read by using the open source and free to use statistical software package R, https://www.r-project.org/. The data are organized following the figure numbering in the manuscript, e.g. Figure 1a is fig1a, and contains the same labeling as the figures including units and variable names. For a full explanation of the figure, please see the captions in the manuscript. To open this data file, use the following commands in R. > load(‘JKelly_NH4NO3_JGR_2018.rdata’) To list the contents of the file, use the following command in R > ls() The data for each figure is contained in the data object with the figures name. To list the data, simply type the name of the figure returned from the ls() command. The original model output and emissions used for this study are located on the ASM archived storage at /asm/ROMO/finescale/sjv2013. These data are in NetCDF format with self contained metadata with descriptive headers containing variable names, units, and simulation times. This dataset is associated with the following publication: Kelly, J., C. Parworth, Q. Zhang, D. Miller, K. Sun, M. Zondlo , K. Baker, A. Wisthaler, J. Nowak , S. Pusede , R. Cohen , A. Weinheimer , A. Beyersdorf , G. Tonnesen, J. Bash, L. Valin, J. Crawford, A. Fried , and J. Walega. Modeling NH4NO3 Over the San Joaquin Valley During the 2013 DISCOVER‐AQ Campaign. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 123(9): 4727-4745, (2018).

The TROPESS CrIS-SNPP L2 Ammonia for Reanalysis Stream, Summary Product contains the vertical distribution of the retrieved atmospheric state of ammonia (NH3), and formal uncertainties measured by the CrIS instruments on the Suomi-NPP satellite. The reanalysis stream summary product is global for the time period from 2015-12-01 to 2023-05-18. The NASA TRopospheric Ozone and Precursors from Earth System Sounding (TROPESS) project, uses an optimal estimation algorithm, known as the MUlti-SpEctra, MUlti-SpEcies, Multi-SEnsors (MUSES).The data files are written in the netCDF version 4 file format, and each file contains one day of data. The data have a spatial resolution of 14 km (CrIS nadir FOV), and are reported at 15 vertical levels from the surface to 0.1 hPa. The principal investigator for the TROPESS project is Kevin W. Bowman.

The TROPESS CrIS-JPSS1 L2 Ammonia for Forward Stream, Summary Product contains the vertical distribution of the retrieved atmospheric state of ammonia (NH3), and formal uncertainties measured by the CrIS instrument on the JPSS-1 (NOAA-20) satellite. The forward stream standard product is global for the time period from 2021-04-01 to present. The NASA TRopospheric Ozone and Precursors from Earth System Sounding (TROPESS) project, uses an optimal estimation algorithm, known as the MUlti-SpEctra, MUlti-SpEcies, Multi-SEnsors (MUSES).The data files are written in the netCDF version 4 file format, and each file contains one day of data. The data have a spatial resolution of 14 km (CrIS nadir FOV), and are reported at 15 vertical levels from the surface to 0.1 hPa. The principal investigator for the TROPESS project is Kevin W. Bowman.