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Full catalog/OCO2GriddedXCO2_SIF
OCO2GriddedXCO2_SIF·v4·dataset

Carbon dioxide and plant glow mapped daily (OCO-2)

OCO-2 Gridded bias-corrected XCO2, SIF, and other select fields aggregated as Level 3 daily files V4 (OCO2GriddedXCO2_SIF)
atmosphere NASA GES_DISC Level 3
In plain English

What it measures. Daily maps of carbon dioxide concentration in the air and the faint glow plants give off while photosynthesizing, filled in across gaps to make continuous gridded fields.

How it's made. Created from the OCO-2 satellite's bias-corrected carbon dioxide data by mathematically smoothing and interpolating daily measurements into a complete map.

How & where you'd use it. Gives researchers easy-to-use gridded views of carbon dioxide and plant activity for studying the carbon cycle and where carbon builds up or is taken up.

What's measured

ATMOSPHERE › ATMOSPHERIC CHEMISTRY › CARBON AND HYDROCARBON COMPOUNDS › ATMOSPHERIC CARBON DIOXIDE

Coverage & cadence

  • Time span2014-09-06 → 2024-03-30
  • Measured byOCO-2 (OCO SPECTROMETERS)
  • Processing levelLevel 3
  • Spatial extent-180, -90, 180, 90
  • StatusCOMPLETE

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

Gridded carbon dioxide mole fraction (XCO2) and other select variables created by applying local kriging (also known as optimal interpolation) to daily aggregates of Orbiting Carbon Observatory (OCO-2) bias corrected data. This is the latest version of this collection. The DOIs assigned to previous versions, which are no longer available, now direct to this page.

Get the data

oco2griddedxco2_sif_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="OCO2GriddedXCO2_SIF",
    version="4",
    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.