Fortran/NCARgraphics program to compute and plot RRF mean and variability:map_rrf_variability_13runs_epimax.f Ioapi files needed by Fortran/NCARGraphics code: CMAQ.CONC.SREF.June2011.New.13runs.o3_8hrdm CMAQ.CONC.SREF.June2011.N50V25.New.13runs.o3_8hrdm GRIDCRO2D_060607 Plotting routines map_rrf_mean_sigma_ne_13runs_epimax.ps map_rrf_mean_sigma_ne_13runs_epimax.ncgm. This dataset is associated with the following publication: Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).

R script: ensemble_rrf_sigma_vs_mean_play.R Data: ensemble_mean_sigma_rrf_allgrids_epismax_new_13runs.csv Plot: boxplot_ensemble_rrf_sigma_vs_mean_nowater_new_13runs_epimax.pdf. This dataset is associated with the following publication: Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).

R script: ensemble_rrf_sigma_vs_mean_play.R Data: ensemble_mean_sigma_rrf_allgrids_epismax_new_13runs.csv Plot: boxplot_ensemble_rrf_sigma_vs_mean_nowater_new_13runs_epimax.pdf. This dataset is associated with the following publication: Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).

R script for the reproduction of Figure6. This script accesses archived CMAQ and WRF model output on US EPA's HPC sol computer system and plots forward trajectories and ozone concentrations from major cities in the US. This dataset is associated with the following publication: Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).

NCL script: cmaq_ensemble_isam_4panels_subdomain.ncl Netcdf input file for NCL script, containing ensemble means and standard deviation of ISAM SO4 and O3 contributions from IPM: test.nc Plot (ps): maps_isam_mean_std_lasthour_ipm_so4_o3_east.ps Plot (pdf): maps_isam_mean_std_lasthour_ipm_so4_o3_east.pdf Plot (ncgm): maps_isam_mean_std_lasthour_ipm_so4_o3_east.ncgm. This dataset is not publicly accessible because: This contains a dataset that is well over 1Gb, so link provided to US EPA's HPC system where all information can be retrieved. It can be accessed through the following means: /asm/grc/JGR_ENSEMBLE_ScienceHub/Figure12.tar.gz. Format: Tar file with scripts and datasets needed to reproduce Figure 12. This dataset is associated with the following publication: Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).

NCL script: cmaq_ensemble_isam_4panels_subdomain.ncl Netcdf input file for NCL script, containing ensemble means and standard deviation of ISAM SO4 and O3 contributions from IPM: test.nc Plot (ps): maps_isam_mean_std_lasthour_ipm_so4_o3_east.ps Plot (pdf): maps_isam_mean_std_lasthour_ipm_so4_o3_east.pdf Plot (ncgm): maps_isam_mean_std_lasthour_ipm_so4_o3_east.ncgm. This dataset is not publicly accessible because: This contains a dataset that is well over 1Gb, so link provided to US EPA's HPC system where all information can be retrieved. It can be accessed through the following means: /asm/grc/JGR_ENSEMBLE_ScienceHub/Figure12.tar.gz. Format: Tar file with scripts and datasets needed to reproduce Figure 12. This dataset is associated with the following publication: Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).

Two files provided. The ENS.tar file contains text data files (*.csv) used to create Figure 7 and Figure 8. The Figure7.txt is an R script that reads these files and generates the plots for various cities including the four published in Figure 7 and Figure 8. This dataset is associated with the following publication: Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).

This is a NetCDF file in ioapi format that contains the probability that ozone is above the 8 hr max O3 standard for the four days of the simulation. This dataset is not publicly accessible because: The file size is a large binary NetCDF file of 56Mb. It can be accessed through the following means: File is located on US EPA's HPC system sol file archive: /asm/grc/JGR_ENSEMBLE_ScienceHub/Figure9.nc. Format: NetCDF file that contains the O3 gridded data to reproduce Figure 9. This dataset is associated with the following publication: Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).

This is a NetCDF file in ioapi format that contains the probability that ozone is above the 8 hr max O3 standard for the four days of the simulation. This dataset is not publicly accessible because: The file size is a large binary NetCDF file of 56Mb. It can be accessed through the following means: File is located on US EPA's HPC system sol file archive: /asm/grc/JGR_ENSEMBLE_ScienceHub/Figure9.nc. Format: NetCDF file that contains the O3 gridded data to reproduce Figure 9. This dataset is associated with the following publication: Gilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).

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).