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Improving the Characterization of several Natural Emissions in CMAQ
L o a d i n g
Organization
United State Environmental Protection Agency - view all
Update frequencyunknown
Last updated5 days ago
Format
Overview

These datasets contains all the data used to make the figures in the associated paper. The excel files are self-explanatory and can be directly used. While the other files in netcdf format, need a visualization tool (such as VERDI) or statistical software (such as R) to make statistical summary or plots. Portions of this dataset are inaccessible because: data will be uploaded when paper will be accepted by journal. They can be accessed through the following means: For excel files, the data can be directly used to make summary or plots. For netcdf files, another visualization tool or statistical package (such as R) can be used. All the netcdf files can be visualized using VERDI. Format: Two types of data formats. One is the excel files which are self-explanatory. The other type is netcdf files which are used to make the spatial plots in the paper. This dataset is associated with the following publication: Kang, D., J. Willison, G. Sarwar, M. Madden, C. Hogrefe, R. Mathur, B. Gantt, and S. Alfonso. Improving the Characterization of the Natural Emissions in CMAQ. EM Magazine. Air and Waste Management Association, Pittsburgh, PA, USA, (10): 1-7, (2021).

BEISBVOCsHalogenLightning NOx emissionsMEGANnatural emissions
Additional Information
KeyValue
Dcat Modified2023-08-30
Dcat Publisher NameU.S. EPA Office of Research and Development (ORD)
Guidhttps://doi.org/10.23719/1522615
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Trust Framework(s)None
Assuranceunknown
Data Sensitivity Classunknown
Licenceunknown
Files
  • Region_Mthly_PARMvsNLDN_LNO.xlsx

  • PARM_LNOx_Monthly_mean_2016_07.ncf.zip

  • NLDN_LNOx_Monthly_mean_2016_07.ncf.zip

  • megan_july_avg_no_and_isop.nc.zip

  • COMBINE_O3_IMPACT_WINTER_AVG.zip

  • COMBINE_O3_IMPACT_SUMMER_AVG.zip

  • COMBINE_O3_IMPACT_SPRING_AVG.zip

  • COMBINE_O3_IMPACT_FALL_AVG.zip

  • beis_july_avg_no_and_isop.nc.zip

  • AQS_Daily_O3_v53_INTEL_12US1_2016_CON_MG3.csv

  • AQS_Daily_O3_v53_INTEL_12US1_2016_CON_BE3.csv