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Carbon Flux Data Access and Tools
NASA has carbon flux datasets that help researchers characterize how carbon flows through natural and built environments. Access a range of data and data tools such as AppEEARS, Worldview, and Giovanni to make the most of carbon flux data.
Carbon Flux Datasets
| Dataset Sort descending | Version | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| ABoVE: Level-4 WRF-STILT Footprint Files for Circumpolar Receptors, 2016-2019 | 1 | OCO-2, MODELS, WRF | OCO-2, Computer | 2016-07-24 to 2019-12-31 |
N: 90 S: 30 E: 180 W: -180 |
netCDF-4 | |
| ABoVE: Level-4 WRF-STILT Particle Trajectories for Circumpolar Receptors, 2016-2019 | 1 | WRF, COMPUTERS, OCO-2 | Computer, OCO-2 | 2016-07-24 to 2019-12-31 |
N: 90 S: 10 E: 180 W: -180 |
netCDF-4 | |
| ABoVE: Light-Curve Modelling of Gridded GPP Using MODIS MAIAC and Flux Tower Data | 1 | Terra, MODELS, METEOROLOGICAL STATIONS, Aqua | MODIS, Computer, MMS | 2000-01-01 to 2018-01-01 |
N: 79.7489 S: 50.0604 E: -73.6407 W: -172.078 |
HDF4 | |
| ABoVE: Year-Round Soil CO2 Efflux in Alaskan Ecosystems, Version 2.1 | 2.1 | FIELD SURVEYS | SURVEYING TOOLS, Campbell Scientific CR800, THERMOCOUPLES | 2016-08-18 to 2023-09-02 |
N: 70.47 S: 63.8801 E: -146.558 W: -157.41 |
CSV | |
| CMS-Flux-NA Fluxes and Aircraft CO2 Co-samples for 2018-2019 | 1 | COMPUTERS | Computer | 2018-01-01 to 2019-12-31 |
N: 76.25 S: 13.75 E: -39.6875 W: -167.812 |
netCDF-4 | |
| Coastal Wetland Elevation and Carbon Flux Inventory with Uncertainty, USA, 2006-2011 | 1 | MODELS | Computer | 2006-01-01 to 2011-12-31 |
N: 48.9917 S: 20.3831 E: -56.6627 W: -135.028 |
multiple | |
| Ecosys Model-Estimated Cropland Carbon Fluxes, Illinois, Indiana, and Iowa, 2001-2018 | 1 | COMPUTERS | Computer | 2001-01-01 to 2018-12-31 |
N: 43.5012 S: 36.9703 E: -84.7846 W: -96.6397 |
Shapefile | |
| GeoCryoAI: Ensemble Learning and the Permafrost Carbon Feedback in Alaska, 1963-2022 | 1 | COMPUTERS | Computer | 1960-01-01 to 2022-12-31 |
N: 72 S: 54 E: -134.776 W: -170 |
TAR | |
| Global Forest Aboveground Carbon Stocks and Fluxes from GEDI and ICESat-2, 2018-2021 | 1 | ICESat-2, ISS | ATLAS, GEDI | 2018-10-01 to 2021-10-01 |
N: 90 S: -90 E: 180 W: -180 |
COG | |
| Global-Gridded Daily Methane Emissions Climatology from Lake Systems, 2003-2015 | 1 | MERRA-2, LANDSAT | Computer | 2012-01-01 to 2012-12-31 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 classic | |
| Machine learning-based Arctic-boreal terrestrial ecosystem CO2 fluxes, 2001-2020 | 1 | COMPUTERS | Computer | 2001-01-01 to 2020-12-31 |
N: 90 S: 33.68 E: 180 W: -180 |
multiple | |
| MiCASA 3-hourly NPP NEE Fluxes 0.1 degree x 0.1 degree | 1 | CASA-GFED3-V3 | NOT APPLICABLE | 2001-01-01 to 2024-12-31 |
N: 90 S: -90 E: 179 W: -180 |
0.1 Decimal Degrees x 0.1 Decimal Degrees | |
| MiCASA Daily NPP Rh ATMC NEE FIRE FUEL Fluxes 0.1 degree x 0.1 degree | 1 | CASA-GFED3-V3 | NOT APPLICABLE | 2001-01-01 to 2024-12-31 |
N: 90 S: -90 E: 179 W: -180 |
0.1 Decimal Degrees x 0.1 Decimal Degrees | |
| MiCASA Monthly NPP Rh ATMC NEE FIRE FUEL Fluxes 0.1 degree x 0.1 degree | 1 | CASA-GFED3-V3 | NOT APPLICABLE | 2001-01-01 to 2024-12-31 |
N: 90 S: -90 E: 179 W: -180 |
0.1 Decimal Degrees x 0.1 Decimal Degrees | |
| Projections of Permafrost Thaw and Carbon Release for RCP 4.5 and 8.5, 1901-2299 | 1 | MODELS | Computer | 1901-01-01 to 2300-12-31 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| SiB4 Modeled Global 0.5-Degree Daily Carbon Fluxes and Pools, 2000-2018 | 1 | MODELS | Computer | 2000-01-01 to 2018-12-31 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 classic | |
| SiB4 Modeled Global 0.5-Degree Hourly Carbon Fluxes and Productivity, 2000-2018 | 1 | MODELS | Computer | 2000-01-01 to 2018-12-31 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 classic |
Featured Carbon Flux Observation Method: MODIS
The Moderate Resolution Imaging Spectroradiometer (MODIS) can image Earth across 36 channels every one to two days. The instrument can be used to calculate carbon dioxide emitted from various sources from plants to power plants making it a valuable device for understanding carbon fluxes and the global carbon cycle.
Researchers taught the SatVision Top-of-Atmosphere foundation model to recognize MODIS imagery features.
4 MIN READ
See how MODIS Leaf Area Index data are used to complement in situ data to evaluate seasonal changes in the relationship between canopy cover and photosynthesis.
Join us to learn how to discover, subset, access and visualize both MODIS and VIIRS data products using a suite of user-friendly tools developed by NASA's ORNL DAAC.
Learn how to access and use Moderate Resolution Imaging Spectroradiometer (MODIS) Version 6 land data.
Frequently Asked Questions
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