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).

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).

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.