Map:

Emission Inventory Mapviewer
This map viewer is the product of collaborative work between NGDC and NOAA's Aeronomy Lab. Funded initially by the CIRES Innovative Research Program, the map provides scientists with emissions data from the Environmental Protection Agency in a geographical context. This data will assist them in planning efforts and data analysis involved in field studies such as the New England Air Quality Study and the Texas Air Quality Study.
The map offers visualizations and reporting tools for seven criteria pollutants (nitrogen oxides, sulfur dioxide, volatile organic compounds, carbon monoxide, ammonia, and two size categories of particulate matter.) The data is displayed in the form of point sources and gridded area sources. Furthermore, the map includes biogenic emission layers of isoprene and terpenes.

Layers:

1 degree graticule
This layer contains 1 degree lines of latitude and longitude superimposed on a map of the world.

5 and 10 degree graticule
This layer is an ESRI reference layer that contains 5 and 10 degree lines of latitude and longitude superimposed on the map.

Administrative Unit Labels
This layer is an ESRI reference layer that contains labels for administrative units in the world.

Administrative Units
This layer is an ESRI reference layer that contains administrative units in the world.

Canada and Mexico Cities
This layer is an ESRI reference layer that contains cities in Canada and Mexico.

Canada and Mexico City Labels
This layer is an ESRI reference layer that contains labels of cities in Cananda and Mexico.

Carbon Monoxide Gridded Total Emissions (short tons/ozone season
For area, on-road mobile, and non-road mobile sources, county-level emissions for carbon monoxide were apportioned on to a 4-km Lambert-Conformal grid for the continental US using spatial surrogates on that grid cross-referenced to the source type by the Source Classification Code (SCC). Point source emissions were aggregated on the same 4-km grid. Data originated from the US Environmental Protection Agency's Clearinghouse for Inventories and Emission Factors (CHIEF). County-level and point-specific emission inventories are the EPA 1999 National Emissions Inventory, version 3. Spatial surrogate and temporal allocation file versions were those available as of March 2004.
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Carbon Monoxide Point Source Emissions (tons/year)
The U.S. Environmental Protection Agency provided a summary file (Microsoft Access format) containing US point source criteria pollutant emissions (1999 National Emission Inventory, version 2) aggregated by facility. Carbon monoxide emissions were derived from this dataset.
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Continents
This layer is an ESRI reference layer that contains the seven continents of the world.
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Eastern North America Elevation (m)
This data layer is a subset of the Global Land One-km Base Elevation (GLOBE) Project. It is a 30-arc-second (1-km) gridded, quality-controlled global Digital Elevation Model (DEM). Elevation colors have been rescaled for Eastern North America.
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Global Coastline
GSHHS - A Global Self-consistent, Hierarchical, High-resolution Shoreline Database.
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Highways
This layer is an ESRI reference layer that contains highways in the United States.

Isoprene BEIS3.11 Reference Emissions (moles/km2/hr)
The biogenic emissions of isoprene and terpenes shown in the mapviewer are normalized reference emissions(units = moles of biogenic species per km² per hour) for thestandard environmental conditions of 30°C and 1000 µmol m^-2 s^-1PAR. They were calculated using the routine normbeis311.f from the EPA's Biogenic Emissions Inventory System version 3.11 (BEIS3.11). This routine incorporates the Biogenic Emissions Landcover Database version 3(BELD3), consisting of 1-km resolution maps of 232 land use types. Thecalculated reference emissions of a number of monoterpenes were summed into theterpene category after converting each compound's emissions to molar units. The resulting 1-km resolution data were then aggregated on to the same 4-km resolution grid used for the anthropogenic emissions in the mapviewer.
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Lakes
This layer is an ESRI reference layer that contains lakes of the world.

Major Roads
This layer is an ESRI reference layer that contains major roads in the United States.

Ammonia Gridded Total Emissions (short tons/ozone season day)
For area, on-road mobile, and non-road mobile sources, county-level emissions for ammonia were apportioned on to a 4-km Lambert-Conformal grid for the continental US using spatial surrogates on that grid cross-referenced to the source type by the Source Classification Code (SCC). Point source emissions were aggregated on the same 4-km grid. Data originated from the US Environmental Protection Agency's Clearinghouse for Inventories and Emission Factors (CHIEF). County-level and point-specific emission inventories are the EPA 1999 National Emissions Inventory, version 3. Spatial surrogate and temporal allocation file versions were those available as of March 2004.
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Ammonia Point Source Emissions (tons/year)
The U.S. Environmental Protection Agency provided a summary file (Microsoft Access format) containing US point source criteria pollutant emissions (1999 National Emission Inventory, version 2) aggregated by facility. Ammonia emissions were derived from this dataset.
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Nitrogen Oxide Gridded Total Emissions (short tons/ozone season
For area, on-road mobile, and non-road mobile sources, county-level emissions for nitrogen oxides were apportioned onto a 4-km Lambert-Conformal grid for the continental US using spatial surrogates on that grid cross-referenced to the source type by the Source Classification Code (SCC). Point source emissions were aggregated on the same 4-km grid. Data originated from the US Environmental Protection Agency's Clearinghouse for Inventories and Emission Factors (CHIEF). County-level and point-specific emission inventories are the EPA 1999 National Emissions Inventory, version 3. Spatial surrogate and temporal allocation file versions were those available as of March 2004.
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Nitrogen Oxide Emissions (tons/year)
The U.S. Environmental Protection Agency provided a summary file (Microsoft Access format) containing US point source criteria pollutant emissions (1999 National Emission Inventory, version 2) aggregated by facility. Nitrogen oxide emissions were derived from this dataset.
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Particulate Matter (PM10) Emissions (tons/year)
The U.S. Environmental Protection Agency provided a summary file (Microsoft Access format) containing US point source criteria pollutant emissions (1999 National Emission Inventory, version 2) aggregated by facility. Particulate matter(PM10) emissions were derived from this dataset.
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Particulates (PM10-PRI) Gridded Total Emissions (short tons/ozon
For area, on-road mobile, and non-road mobile sources, county-level emissions for particulates (PM10-PRI) were apportioned on to a 4-km Lambert-Conformal grid for the continental US using spatial surrogates on that grid cross-referenced to the source type by the Source Classification Code (SCC). Point source emissions were aggregated on the same 4-km grid. Data originated from the US Environmental Protection Agency's Clearinghouse for Inventories and Emission Factors (CHIEF). County-level and point-specific emission inventories are the EPA 1999 National Emissions Inventory, version 3. Spatial surrogate and temporal allocation file versions were those available as of March 2004.
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Particulate Matter (PM2.5) Emissions (tons/year)
The U.S. Environmental Protection Agency provided a summary file (Microsoft Access format) containing US point source criteria pollutant emissions (1999 National Emission Inventory, version 2) aggregated by facility. Particulate matter(PM2.5) emissions were derived from this dataset.
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Particulates (PM2.5-PRI) Gridded Total Emissions (short tons/ozo
For area, on-road mobile, and non-road mobile sources, county-level emissions for particulates (PM2.5-PRI) were apportioned on to a 4-km Lambert-Conformal grid for the continental US using spatial surrogates on that grid cross-referenced to the source type by the Source Classification Code (SCC). Point source emissions were aggregated on the same 4-km grid. Data originated from the US Environmental Protection Agency's Clearinghouse for Inventories and Emission Factors (CHIEF). County-level and point-specific emission inventories are the EPA 1999 National Emissions Inventory, version 3. Spatial surrogate and temporal allocation file versions were those available as of March 2004.
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Rivers
This layer is an ESRI reference layer that contains rivers of the world.

Sulfur Dioxide Gridded Total Emissions (short tons/ozone season
For area, on-road mobile, and non-road mobile sources, county-level emissions for sulfur dioxide were apportioned on to a 4-km Lambert-Conformal grid for the continental US using spatial surrogates on that grid cross-referenced to the source type by the Source Classification Code (SCC). Point source emissions were aggregated on the same 4-km grid. Data originated from the US Environmental Protection Agency's Clearinghouse for Inventories and Emission Factors (CHIEF). County-level and point-specific emission inventories are the EPA 1999 National Emissions Inventory, version 3. Spatial surrogate and temporal allocation file versions were those available as of March 2004.
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Sulfur Dioxide Point Source Emissions (tons/year)
The U.S. Environmental Protection Agency provided a summary file (Microsoft Access format) containing US point source criteria pollutant emissions (1999 National Emission Inventory, version 2) aggregated by facility. Sulfur dioxide emissions were derived from this dataset.
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Terpene BEIS3.11 Reference Emissions (moles/km2/hr)
The biogenic emissions of isoprene and terpenes shown in the mapviewer are normalized reference emissions(units = moles of biogenic species per km² per hour) for thestandard environmental conditions of 30°C and 1000 µmol m^-2 s^-1PAR. They were calculated using the routine normbeis311.f from the EPA's Biogenic Emissions Inventory System version 3.11 (BEIS3.11). This routine incorporates the Biogenic Emissions Landcover Database version 3(BELD3), consisting of 1-km resolution maps of 232 land use types. Thecalculated reference emissions of a number of monoterpenes were summed into theterpene category after converting each compound's emissions to molar units. The resulting 1-km resolution data were then aggregated on to the same 4-km resolution grid used for the anthropogenic emissions in the mapviewer.
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US Cities
This layer is an ESRI reference layer that contains cities in the United States.

US City Labels
This layer is an ESRI reference layer that contains labels of cities in the United States.

US Counties
This layer is an ESRI reference layer that contains counties in the United States.

US County Labels
This layer is an ESRI reference layer that contains labels of counties in the United States.

US Urban Area Labels
This layer is an ESRI reference layer that contains urban area labels in the United States.

US Urban Areas
This layer is an ESRI reference layer that contains urban areas in the United States.

Volatile Organic Compound Gridded Total Emissions (short tons/oz
For area, on-road mobile, and non-road mobile sources, county-level emissions for volatile organic compounds were apportioned on to a 4-km Lambert-Conformal grid for the continental US using spatial surrogates on that grid cross-referenced to the source type by the Source Classification Code (SCC). Point source emissions were aggregated on the same 4-km grid. Data originated from the US Environmental Protection Agency's Clearinghouse for Inventories and Emission Factors (CHIEF). County-level and point-specific emission inventories are the EPA 1999 National Emissions Inventory, version 3. Spatial surrogate and temporal allocation file versions were those available as of March 2004.
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Volatile Organic Compound Emissions (tons/year)
The U.S. Environmental Protection Agency provided a summary file (Microsoft Access format) containing US point source criteria pollutant emissions (1999 National Emission Inventory, version 2) aggregated by facility. Volatile organic compound emissions were derived from this dataset.
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World Elevation (m)
Data comes from the Global Land One-km Base Elevation (GLOBE) Project. It is a 30-arc-second (1-km) gridded, quality-controlled global Digital Elevation Model (DEM).
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