Carbon dioxide in the air, daily (OCO-3)
What it measures. How much carbon dioxide is in the air, reported as a bias-corrected column-average concentration along with selected supporting fields, aggregated into daily files.
How it's made. Retrieved from the OCO-3 instrument on the International Space Station, which measures sunlight reflected in specific carbon-dioxide and oxygen wavelengths and runs a detailed physics-based calculation.
How & where you'd use it. Helps scientists map where carbon dioxide builds up and study the natural and human processes that control it, central to climate research.
What's measured
Coverage & cadence
- Time span2019-08-06 → ongoing
- Measured byISS (OCO-3)
- Processing levelLevel 2
- Spatial extent-180, -90, 180, 90
- StatusACTIVE
What you can do with it
- Map air pollutants — NO₂, aerosols, ozone
- Track greenhouse gases and Earth's energy budget
- Feed weather and air-quality analysis
Official description
Version 11 is the current version of the data set. Older versions will no longer be available and are superseded by Version 11. The Orbiting Carbon Observatory -3 (OCO-3) was deployed to the International Space Station in May, 2019. It is technically a single instrument, almost identical to OCO-2. The Orbiting Carbon Observatory is the first NASA mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, and coverage needed to characterize the processes controlling its buildup in the atmosphere. OCO-3 incorporates three high-resolution spectrometers that make coincident measurements of reflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and in molecular oxygen (O2) A-Band at 0.76 micrometers. The three spectrometers have different characteristics and are calibrated independently. Oxygen-A Band cloud screening algorithm is one of the primary cloud screening tools implemented in the operational OCO processing pipeline. The algorithm was introduced and applied to early GOSAT data with further analysis performed on OCO-2 simulations. The OCO ABO2 algorithm employs a fast Bayesian retrieval to estimate surface pressure and surface albedo from high resolution spectra of the molecular oxygen (O2) A-band, near 0.765 µm. The radiative transfer forward model (FM) assumes a clear-sky condition, i.e. Rayleigh scattering only, such that differences between the modeled and measured radiances are apparent when the measurement scene contains cloud or aerosol.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="OCO3_L2_Fwd_FP",
version="11",
bounding_box=(-122.5, 37.2, -121.8, 37.9), # your area (W,S,E,N)
temporal=("2024-01-01", "2024-12-31"), # your dates
)
files = earthaccess.open(results) # stream straight from GES_DISC Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package. Official links
- Access the data via HTTP GET DATA
- Access the data via the OPeNDAP protocol. USE SERVICE API
- Use the Earthdata Search to find and retrieve data sets across multiple data centers. GET DATA
- README document VIEW RELATED INFORMATION
- Data Release Statement VIEW RELATED INFORMATION
- ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD) VIEW RELATED INFORMATION
- Bias Correction and Warn Levels VIEW RELATED INFORMATION
- Publications from the Science Team VIEW RELATED INFORMATION