Year-long emissions inventories of criteria air pollutants, greenhouse gases, and hazardous air pollutants 🇺🇸

Spatial analysis of EPA data, via cumbersome platform or downloaded to GIS. Good for: Mapping emissions and their sources.

Daily and hourly data for the entire U.S. 🇺🇸

Using Python or other analysis tools allows customized analysis beyond the web-based tools above (the image shows the locations of monitors reporting data in 2020).

Global data available daily from 2019 - present  🌎

Tropospheric vertical column densities of nitrogen dioxide from highest resolution instrument in orbit. Good for: health risk and indicator of fossil fuel combustion (also provides SO2, HCHO, and other metrics. “Level 2” refers to the satellite data processed into air quality metrics, at the native resolution of the instrument.)

Pre-defined or custom gridded data  🌎

Same as Level-2, but allocated to a grid for easier analysis. Other satellite products follow the same Level-2, Level-3 terminology. Good for: Comparing satellite data to ground-based measurements or air quality models. Boost resolution by averaging data over time.

Allocated to non-grid areas of interest 🇺🇸

1km x 1km TROPOMI NO2 data allocated to census tracts and U.S. counties available as shapefiles. Good for: Analyzing NO2 data in GIS and comparing satellite data to monitor data.

Global annual and monthly data from 1998-2020 🌎

High resolution (0.01° x 0.01°) gridded data available in netCDF and ASCII format. Good for: Analyzing PM2.5 data in GIS and comparing satellite data to monitor data. Intended to aid in large-scale studies.

Local to hemispheric scales with a resolution of ~1km x 1km to ~36km x 36km  🇺🇸

Ozone, PM and other air toxins. Good for: Modeling toxic air pollutants, exploring pollution trends and climate change applications.

Local to global scales  🌎

Incorporates meteorological conditions and emission inventories to model atmospheric compositions. Good for: Simulating chemical formation, deposition, transportation, and loss.

Models air pollution concentrations from a point source 🇺🇸

CO, SO2, NO2, PM, lead and air toxins. Good for: Short range air quality analysis (up to 50 kilometers) and EPA approved.

Models air pollution concentrations from a point source 🇺🇸

Criteria pollutants. Good for: Assessing long range (up to 200 km) transport of pollutants.