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Lightning NOx Emissions in CMAQ Data
Meta Data of the dataset for “Assessing the Impact of Lightning NOx Emissions in CMAQ Using Lightning Flash Data from WWLLN over the Contiguous United States”
Figure 2: ThreeYear_NLDN2WWLLN_byNOAAcr_Region_anal.xlsx. The names of the variable are self-explanatory and the original figure is included.
Figure 3: NLDN_flash_Monthly_mean_2016_07.ncf.gz, WWLLN_flash_Monthly_mean_2016_07.ncf.gz, WWLLNs_flash_Monthly_mean_2016_07.ncf.gz. These netcdf files contain the monthly mean values of gridded lightning flash rate for all the cases and the figure can be created using any netcdf visualization tool (such as VERDI) or statistical package (such as R).
Figures 4,5,6: CMAQ_*_.rds.gz files. These files contain the paired observation-model O3 concentrations from all the model cases for hourly, daily max-8hr, and other statistics. The rds datasets can be read into R as data frame to make these figures.
Figure 7 & 8: CCTM_CONC*.nc.gz. The vertical profiles (CONC) contain model data to make Figures 7 and 8. While the observation data are available publicly.
Figure 9: NADP_v532_intel18_0_2016_CONUS_*.csv.
Figure 10: avg*_DEP_concentrations*.nc.gz. These files contain the monthly mean vet deposition of NO3.
Figure 11: NADP_v532_intel18_0_2016_CONUS_*.csv.
Figure 12: *DDEP_TNO3_*.nc.gz. These files contain hourly dry deposition of TNO3 over the CONUS domain
Complete Metadata
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{
"fn": "Daiwen Kang",
"hasEmail": "mailto:kang.daiwen@epa.gov"
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| description | Meta Data of the dataset for “Assessing the Impact of Lightning NOx Emissions in CMAQ Using Lightning Flash Data from WWLLN over the Contiguous United States” Figure 2: ThreeYear_NLDN2WWLLN_byNOAAcr_Region_anal.xlsx. The names of the variable are self-explanatory and the original figure is included. Figure 3: NLDN_flash_Monthly_mean_2016_07.ncf.gz, WWLLN_flash_Monthly_mean_2016_07.ncf.gz, WWLLNs_flash_Monthly_mean_2016_07.ncf.gz. These netcdf files contain the monthly mean values of gridded lightning flash rate for all the cases and the figure can be created using any netcdf visualization tool (such as VERDI) or statistical package (such as R). Figures 4,5,6: CMAQ_*_.rds.gz files. These files contain the paired observation-model O3 concentrations from all the model cases for hourly, daily max-8hr, and other statistics. The rds datasets can be read into R as data frame to make these figures. Figure 7 & 8: CCTM_CONC*.nc.gz. The vertical profiles (CONC) contain model data to make Figures 7 and 8. While the observation data are available publicly. Figure 9: NADP_v532_intel18_0_2016_CONUS_*.csv. Figure 10: avg*_DEP_concentrations*.nc.gz. These files contain the monthly mean vet deposition of NO3. Figure 11: NADP_v532_intel18_0_2016_CONUS_*.csv. Figure 12: *DDEP_TNO3_*.nc.gz. These files contain hourly dry deposition of TNO3 over the CONUS domain |
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| identifier | https://doi.org/10.23719/1527715 |
| keyword |
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| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2023-09-06 |
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"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/BASE_DDEP_TNO3_v532_intel18.0_2016_CONUS_201607.nc.zip",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CCTM_CONC_O3_BASE_20160713.nc.zip",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CCTM_CONC_O3_BASE_20160720.nc.zip",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CCTM_CONC_O3_BASE_20160723.nc.zip",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CCTM_CONC_O3_WWLLN_20160713.nc.zip",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CCTM_CONC_O3_WWLLNs_20160713.nc.zip",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CCTM_CONC_O3_WWLLNs_20160720.nc.zip",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CCTM_CONC_O3_WWLLNs_20160723.nc.zip",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_BASE_O3PM25_AQS_Alldata_2016-07-01_2016-07-31.rds.zip",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_BASE_O3PM25_AQS_dm8hr_2016-07-01_2016-07-31.rds.zip",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_BASE_O3PM25_AQS_dstat_2016-07-01_2016-07-31.rds.zip",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_NLDN_O3PM25_AQS_Alldata_2016-07-01_2016-07-31.rds.zip",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_NLDN_O3PM25_AQS_dm8hr_2016-07-01_2016-07-31.rds.zip",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_NLDN_O3PM25_AQS_dstat_2016-07-01_2016-07-31.rds.zip",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_WWLLN_O3PM25_AQS_Alldata_2016-07-01_2016-07-31.rds.zip",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_WWLLN_O3PM25_AQS_dm8hr_2016-07-01_2016-07-31.rds.zip",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_WWLLNs_O3PM25_AQS_Alldata_2016-07-01_2016-07-31.rds.zip",
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"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/NADP_v532_intel18_0_2016_CONUS_NLDN.csv",
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"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/NLDN_DDEP_TNO3_v532_intel18.0_2016_CONUS_201607.nc.zip",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/ThreeYear_NLDN2WWWLLN_byNOAAcr_Region_anal.xlsx",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/WWLLN_DDEP_TNO3_v532_intel18.0_2016_CONUS_201607.nc.zip",
"https://pasteur.epa.gov/uploads/10.23719/1527715/documents/WWLLN_flash_Monthly_mean_2016_07.ncf.zip",
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| rights |
null
|
| title | Lightning NOx Emissions in CMAQ Data |
