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Air Quality Data Access and Tools

NASA has air quality datasets that help researchers characterize the particular makeup of the air we breathe. Access a range of data and data tools such as AppEEARS, FIRMS, and Giovanni to make the most of air quality data.

Air quality comprises a constellation of scientific topics that inform our understanding of this field. Learn more about data and resources focused on aerosol optical depth, aerosol index, trace gases, land surface reflectance, the effect of dust, ash, and smoke, and human dimensions, including natural hazards.

Many NASA observation methods—platforms, instruments, and space geodesy techniques—provide data that improve our understanding of air quality, including NASA's Tropospheric Emissions: Monitoring Pollution (TEMPO) instrument, featured below. Learn more about how the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Harmonized Landsat Sentinel-2 (HLS), Moderate Resolution Imaging Spectroradiometer (MODIS), and Visible Infrared Imaging Radiometer Suite (VIIRS) continually acquire data about pollutants.

Air Quality Datasets

Filters
Dataset Sort descending Version Platform Instrument Temporal Extent Spatial Extent Spatial Resolution Data Format
NARSTO_EPA_SS_ST_LOUIS Air Chemistry, Particulate Matter, Met Data 1 GROUND STATIONS, METEOROLOGICAL STATIONS AETHALOMETER, RAIN GAUGES, TEMPERATURE SENSORS, ANEMOMETERS, AA-Particle, PRESSURE SENSORS 2000-06-22 to 2003-07-20 ASCII
OMI/Aura Ozone (O3) Total Column 1-Orbit L2 Swath 13x24 km V003 NRT 003 Aura 2004-07-15
OMI/Aura Ozone (O3) Total Column 1-Orbit L2 Swath 13x24 km V004 NRT 004 Aura OMI 2004-07-15

N: 90 S: -90 E: 180 W: -180

OMI/Aura Ozone (O3) Total Column Daily L3 Global 0.25deg Lat/Lon Grid NRT 003 Aura OMI 2004-07-15
OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V004 NRT 004 Aura OMI 2004-07-15

N: 90 S: -90 E: 180 W: -180

OMI/Aura TOMS-Like Ozone and Radiative Cloud Fraction L3 1 day 0.25 degree x 0.25 degree V004 (OMTO3e) NRT 004 Aura OMI 2004-07-15

N: 90 S: -90 E: 180 W: -180

HDF-EOS5
OMPS-NPP L2 NM Ozone (O3) Total Column swath orbital NRT 2 Suomi-NPP OMPS 2011-10-28
OMPS-NPP L2 NP Ozone (O3) Vertical Profile swath orbital NRT 2 Suomi-NPP OMPS 2011-10-28
OMPS/NPP PCA SO2 Total Column 1-Orbit L2 Swath 50x50km V2 (OMPS_NPP_NMSO2_PCA_L2) at GES DISC 2 Suomi-NPP OMPS 2012-01-26 to Present

N: 90 S: -90 E: 180 W: -180

ORACLES Merge Data Files 1 NASA P-3, NASA ER-2 Computer 2016-07-28 to 2019-03-23

N: 37.95 S: -34.95 E: 14.94 W: -76.44

NetCDF-4
ORACLES Trace Gas Aircraft InSitu Data 1 NASA P-3 4STAR, LGR, OZONE MONITORS 2016-08-24 to 2018-10-23

N: 37.95 S: -23.11 E: 14.94 W: -76.44

ICARTT
OWLETS-1 NASA GSFC Pandora Spectrometer Project Data 1 GROUND STATIONS Pandora 2017-06-30 to 2017-10-16

N: 38.89 S: 37.03 E: -75.51 W: -77.21

ICARTT
OWLETS-1 Ozonesonde Data 1 GROUND STATIONS OZONESONDES 2017-07-06 to 2017-09-13

N: 37.54 S: 36.61 E: -75.05 W: -76.92

ICARTT
OWLETS-1 Sherpa Aircraft Data 1 C-23 Sherpa, UC-12B GC-MS, CHEMILUMINESCENCE, LGR, LICOR QUANTUM SENSOR, GPS, HYGROMETERS, PRESSURE TRANSDUCERS, PITOT-STATIC SYSTEM, TEMPERATURE SENSORS, CAFE, 2B Technologies, GeoTASO 2017-07-07 to 2017-09-12

N: 38.01 S: 36.69 E: -75.41 W: -77.38

HDF5
OWLETS-2 NASA GSFC Pandora Spectrometer Project Data 1 GROUND STATIONS Pandora 2018-05-08 to 2019-03-15

N: 39.29 S: 38.89 E: -76.24 W: -76.93

ICARTT
OWLETS-2 Ozonesonde Data 1 GROUND STATIONS OZONESONDES 2018-06-07 to 2018-07-11

N: 39.57 S: 38.54 E: -75.66 W: -77.34

ICARTT
OWLETS-2 SERC Research Vessel Data 1 R/V SERC Pandora 2018-06-29 to 2018-07-02 ICARTT
OWLETS-2 Surface (Ground) Data 1 GROUND STATIONS, Vaisala HydroMet AWS GAS SENSORS, LGR CRDS, Picarro G2401, TEMPERATURE SENSORS, PRESSURE SENSORS, HUMIDITY SENSORS 2018-05-23 to 2018-08-02

N: 39.26 S: 39.24 E: -76.36 W: -76.72

ICARTT
OWLETS-2 Surface Lidar Data 1 GROUND STATIONS LMOL, GSFC TROPOZ DIAL, LIDAR 2018-05-23 to 2018-11-13

N: 41 S: 36 E: -75 W: -78

HDF5
OWLETS-2 University of Maryland Cessna Aircraft Data 1 UMD Cessna, HU-25A GPS, GAS SENSORS, TSI-3563 Neph, AETHALOMETER, PSAP, Picarro G2401, LGR CRDS, GeoTASO 2017-07-07 to 2018-07-20

N: 42.14 S: 37.23 E: -71.94 W: -77.48

ICARTT, HDF5
PACE-PAX ER-2 High Spectral Resolution Lidar-2 Data 1 NASA ER-2 HSRL-2 2024-09-06 to 2024-10-01

N: 40.77 S: 32.56 E: -113.22 W: -127.56

HDF5, PDF
PEM Tropics A Sondes Data 1 RADIOSONDES RADIOSONDES, OZONESONDES 1995-01-05 to 1997-12-31

N: -14.23 S: -45.045 E: 180 W: -180

GTE
PEM Tropics B P-3B In-Situ Trace Gas Data 1 P-3B CIMS, DACOM, GAS CHROMATOGRAPHS, CHEMILUMINESCENCE, ION CHROMATOGRAPHS, GRAB SAMPLERS 1999-03-05 to 1999-04-12

N: 40 S: -36.33 E: 180 W: -180

GTE
PEM Tropics B Sondes Data 1 RADIOSONDES OZONESONDES 1998-01-03 to 1999-12-24

N: -14.23 S: -45.045 E: 178.4 W: -170.56

GTE
PEM West B Merge Data 1 Data Analysis, NASA DC-8 1994-01-26 to 1994-03-15

N: 90 S: -9.7 E: 180 W: -180

GTE

Air Quality Data Tools

Tool Sort descending Description Services
AppEEARS The The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers users a simple and efficient way to perform data access and transformation processes. Search and Discovery, Subsetting, Customization, Downloading, Visualization
CASEI The Catalog of Archived Suborbital Earth Science Investigations (CASEI) is a comprehensive inventory of contextual information for NASA's Earth Science airborne and field campaigns. Search and Discovery, Cataloging
FIRMS The Fire Information for Resource Management System (FIRMS) provides access to satellite imagery, active fire/hotspots, and related products to identify the location, extent, and intensity of wildfire activity. Access, Visualization
Panoply Panoply is a cross-platform application that plots geo-referenced and other arrays from netCDF, HDF, GRIB, and other datasets. Visualization, Customization, Reformatting, Subsetting, Comparison
VEDA NASA's Visualization, Exploration, and Data Analysis (VEDA) project is an open-source science cyberinfrastructure for data processing, visualization, exploration, and geographic information systems (GIS) capabilities. Access, Analysis, Processing, Visualization, Geoprocessing
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