Carbon dioxide retrieval, pre-screened soundings (OCO-3)
What it measures. Carbon dioxide retrievals from the satellite that have been filtered using a pre-screening step to set aside soundings affected by clouds, keeping the cleaner observations.
How it's made. Produced from the OCO-3 instrument aboard the International Space Station, with a cloud-screening preprocessor applied during the standard processing pipeline.
How & where you'd use it. Supports studies of where carbon dioxide builds up and how it moves; a processing-stage product feeding the broader OCO-3 carbon analysis.
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 11r is the current version of the data set. Older versions will no longer be available and are superseded by Version 11r. 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_IMAPDOAS",
version="11r",
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
- OCO-3 Data Quality Statement VIEW RELATED INFORMATION
- Access the data via HTTP GET DATA
- Use the Earthdata Search to find and retrieve data sets across multiple data centers. GET DATA
- Access the data via the OPeNDAP protocol. USE SERVICE API
- README document VIEW RELATED INFORMATION
- USER'S GUIDE VIEW RELATED INFORMATION
- Software Interface Specification VIEW RELATED INFORMATION
- ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD) VIEW RELATED INFORMATION