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Atmospheric Carbon Monoxide Data Access and Tools

From discovery to visualization, data tools such as the MOPITT Search and Subsetting Web Application, NASA’s Air Quality and Climate Anomaly Viewer, and the Wisconsin Horizontal Interpolation Program for Satellites (WHIPS) guide users in making the most of atmospheric carbon monoxide data.

Commonly Used Carbon Monoxide Data at a Glance

Descriptions of these measurements will be reviewed in more detail later in this Data Pathfinder. The following sections will help guide you to topic-specific data and resources for accessing, visualizing, preparing/manipulating (e.g. subsetting), and analyzing data. Each observation, model, and reanalysis data has unique characteristics that should be considered when evaluating its use.

An asterisk (*) next to an entry indicates that near real-time (NRT) data products are available through NASA's Land, Atmosphere Near real-time Capability for EOS (LANCE). While not intended for scientific research, NRT data are good resources for monitoring ongoing or time-critical events. To learn more about the difference between NRT and Standard Science Products, see Near Real Time versus Standard Products.

Spatial ResolutionSpatial CoverageTemporal ResolutionTemporal CoverageSpectral ResolutionSatellite/ PlatformName (Sensor, Model, etc.)Observation, Model, or ReanalysisFile Format
50 km x 50 kmGlobal6 minutes2002-present2,378 infrared channels in the 3.74-15.4 micron spectral rangeAqua*AIRSObservationHDF-EOS
165 km x 3 kmNear-globalTwice daily [day, night]2004-presentAt millimeter and submillimeter wavelengthsAqua*MLSObservationHDF-EOS5
~22 kmGlobalDaily, Monthly2000-presentnear-infrared radiation at 2.3 µm and thermal-infrared radiation at 4.7 µmTerra*MOPITTObservationHDF-EOS5
5.5 km x 7 kmGlobal101.5 minutes2018-present270 nm-2.3 µm, 0.55 nmSentinel-5PTROPOMIObservationnetCDF
0.25º x 0.25°Global15 min, HourlyDaily 5-day forecastN/AN/AGEOS-CFModelnetCDF
0.25º x 0.312°Global3-hourlyNear-real time assimilation (DAS), 10-day forecast at 00z and 5-day forecast at 12zN/AN/AGEOS FPAnalysisnetCDF
Point measurementsGlobalPeriodic flights occurred during each deployment2016-2018variesAirborne Field CampaignAtmospheric Tomography Mission (ATom) campaign with varying instrumentsObservationnetCDF

Atmospheric Carbon Monoxide Datasets

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Dataset Version Platform Instrument Temporal Extent Spatial Extent Spatial Resolution Data Format
ATom: Data Stream for Modeling the Reactivity of ATom Air Parcels, 2016-2018 1 NASA DC-8 Computer 2016-07-29 to 2018-05-21

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

multiple
ATom: Measurements from the Quantum Cascade Laser System (QCLS), Version 2 2 NASA DC-8 INFRARED LASER SPECTROSCOPY 2016-07-29 to 2018-05-21

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

ICARTT
ATom: Measurements from the UAS Chromatograph for Atmospheric Trace Species (UCATS) 1 NASA DC-8 TUNABLE DIODE LASER, UCATS-GC 2016-07-12 to 2018-05-21

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

ICARTT
ATom: Merged Atmospheric Chemistry, Trace Gases, and Aerosols 1.5 NASA DC-8 PALMS, WAS, LASER SPECTROMETER, SPECTROMETERS, CIMS, PHOTOMETERS 2016-07-29 to 2018-05-21

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

netCDF-4
ATom: Merged Atmospheric Chemistry, Trace Gases, and Aerosols, Version 2 2.0 NASA DC-8 FLUORESCENCE SPECTROSCOPY, GAS CHROMATOGRAPHS, ION CHROMATOGRAPHS, UCATS-GC, TOGA, DMT SP2, PALMS, PICARRO G2401-mc CO2, CH4, CO, H2O INSTRUMENT, MMS, WAS, AMS, CIMS, DLH, CAPS, CAFS, ATHOS 2016-07-29 to 2018-05-21

N: 82.9406 S: -86.1769 E: 180 W: -180

netCDF-4
ATom: Observed and GEOS-5 Simulated CO Concentrations with Tagged Tracers for ATom-1 1 MODELS, NASA DC-8 Computer, SPECTROMETERS 2016-07-29 to 2016-08-23

N: 80.0086 S: -65.3316 E: 179.983 W: -179.999

multiple
ATTREX Global Hawk UAS In-Situ Trace Gas Measurements 1 GLOBAL HAWK WAS, DLH, HUPCRS, NOAA-H2O, UCATS-GC, NOAA-O3 2011-10-01 to 2013-03-01 ICARTT
BlueFlux Airborne Trace Gases, Fluxes, and Mixing Ratios, Southern Florida, 2022-2024 1 King Air AIMMS, ROZE, PICARRO G2401-mc CO2, CH4, CO, H2O INSTRUMENT 2022-04-18 to 2024-07-22

N: 29.9877 S: 24.8 E: -80.3411 W: -81.53

multiple
CAMP2Ex Merge Data Files 1 NASA P-3 Computer 2019-08-22 to 2019-10-07 ICARTT, ZIP
CAMP2Ex Miscellaneous Data 1 SATELLITES 2018-08-01 to 2019-10-08 NetCDF-4, ICARTT, GIF, PNG, JPEG
CAMP2Ex P-3 In-Situ Trace Gas Data 1 NASA P-3 GAS SENSORS, CRDS 2019-08-03 to 2019-10-06 ICARTT
CARAFE: Regional Airborne Greenhouse Gases Eddy Covariance Measurements, 2016-2017 1.1 C-23 Sherpa TAMMS, LGR, Applanix, DLH, NASDAT, PICARRO G2401-mc CO2, CH4, CO, H2O INSTRUMENT, FLIR 2016-09-07 to 2017-05-26

N: 41.1145 S: 35.1761 E: -73.56 W: -79.8926

multiple
CARVE: CH4, CO2, and CO Atmospheric Concentrations, CARVE Tower, Alaska, 2012-2014 1 COMPUTERS, FIELD INVESTIGATION Computer 2012-01-01 to 2014-12-31

N: 64.986 S: 64.986 E: -147.598 W: -147.598

multiple
CARVE: L2 Atmospheric CO2, CO, and CH4 Concentrations, CARVE Tower, Alaska, 2011-2015 1 GROUND-BASED OBSERVATIONS GAS SENSORS 2011-10-23 to 2014-12-31

N: 64.986 S: 64.986 E: -147.598 W: -147.598

netCDF-4
CARVE: L2 Atmospheric CO2, CO and CH4 Concentrations, Harvard CRDS, Alaska, 2012-2014 1 C-23 Sherpa CARBON ANALYZERS 2012-05-23 to 2014-11-09

N: 71.5622 S: 60.2085 E: -131.755 W: -168.111

netCDF-4
CARVE: L2 Atmospheric CO2, CO and CH4 Concentrations, NOAA CRDS, Alaska, 2012-2015 1 C-23 Sherpa 2012-05-23 to 2014-11-09

N: 71.5622 S: 60.2085 E: -131.755 W: -168.111

netCDF-4
CARVE: L2 Atmospheric Gas Concentrations, Airborne Flasks, Alaska, 2012-2015 1 C-23 Sherpa FLASKS 2012-05-23 to 2015-11-12

N: 71.4985 S: 35.1547 E: -106.295 W: -167.481

netCDF-4
CARVE: L2 Atmospheric Gas Concentrations, Tower-based Flasks, Alaska, 2012-2015 1 GROUND STATIONS FLASKS 2012-01-04 to 2015-12-05

N: 64.9864 S: 64.9833 E: -147.583 W: -147.598

netCDF-4
CARVE: L2 Column Gas and Uncertainty from Airborne FTS, Alaska, 2012-2015 1 C-23 Sherpa FOURIER TRANSFORM SPECTROMETERS 2012-05-23 to 2015-11-13

N: 71.4259 S: 58.8879 E: -131.768 W: -167.646

netCDF-4
CARVE: L2 Merged Atmospheric CO2, CO, O3 and CH4 Concentrations, Alaska, 2012-2015 1 C-23 Sherpa CARBON ANALYZERS 2012-05-23 to 2014-11-09

N: 71.5622 S: 60.2085 E: -131.755 W: -168.111

CSV
DC3 In-Situ DC-8 Aircraft Trace Gas Data 1 NASA DC-8 GC-MS, TD-LIF, DACOM, LWCC, CIT-ToF-CIMS, CHEMILUMINESCENCE, PTR-MS, DFGAS, AVOCET 2012-05-04 to 2012-06-23 ICARTT
DC3 In-Situ DLR-Falcon Trace Gas Data 1 DLR-Falcon CIT-ToF-CIMS, CRDS, GAS SENSORS, CHEMILUMINESCENCE, OZONE SENSOR, GAS CHROMATOGRAPHS 2012-05-29 to 2012-06-18 ICARTT
DC3 In-Situ NSF/NCAR GV-HIAPER Trace Gas Data 1 NSF/NCAR GV HIAPER TOGA, CRDS, CAMS, CIT-ToF-CIMS, CIMS, CHEMILUMINESCENCE 2012-05-11 to 2012-07-01 ICARTT
DC3 Merge Data Files 1 DLR-Falcon, NSF/NCAR GV HIAPER, NASA DC-8 2012-05-18 to 2012-06-30 ICARTT
DISCOVER-AQ California Deployment Analysis and Ancillary Ground Site Data 1 GROUND STATIONS, Vaisala WXT520 GC-MS, N2O/CO QC Laser-Based Sensor, NH3 QC Laser-Based Sensor, LI-7700, LI-7500, TEMPERATURE SENSORS, PRESSURE SENSORS 2013-01-14 to 2013-02-10 ICARTT
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Featured Atmospheric Carbon Monoxide Observation Method: MOPITT
The Measurement of Pollution in the Troposphere (MOPITT) instrument aboard NASA's Terra satellite is designed to enhance our knowledge of the lower atmosphere and observe how it interacts with the land and ocean biospheres. MOPITT’s specific focus is on the distribution, transport, sources, and sinks of carbon monoxide in the troposphere.
Learn More About MOPITT
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MOPITT Near Real-Time Data

Near real-time carbon monoxide data from the Measurements of Pollution in the Troposphere (MOPITT) instrument are available through NASA's Land, Atmosphere Near real-time Capability for Earth observation (LANCE).
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MOPITT Data Now Available in LANCE

Global carbon monoxide data from the MOPITT instrument aboard NASA’s Terra satellite are the newest near real-time products available through the Land, Atmosphere Near real-time Capability for EOS (LANCE).
4 MIN READ
MOPITT instrument data

MOPITT

The Measurement Of Pollution in the Troposphere instrument aboard NASA's Terra satellite is designed to enhance our knowledge of the lower atmosphere.

Atmospheric Carbon Monoxide Data Tools

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