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Full catalog/MultiInstrumentFusedXCO2
MultiInstrumentFusedXCO2·v4·dataset

Carbon dioxide in the air, multiple satellites combined (daily)

Multi-Instrument Fused bias-corrected XCO2 and other select fields aggregated as Level 3 daily files V4 (MultiInstrumentFusedXCO2)
atmosphere NASA GES_DISC Level 3
In plain English

What it measures. Daily maps of carbon dioxide in the air, given as the fraction of the atmosphere made up of CO2, blended from two different satellites into one consistent gridded picture.

How it's made. Created by mathematically filling in the gaps (a technique called kriging) between daily, bias-corrected CO2 readings from the OCO-2 and GOSAT satellites to produce smooth daily Level 3 maps.

How & where you'd use it. Useful for tracking where and how carbon dioxide builds up over time, supporting climate research and efforts to monitor greenhouse-gas trends.

What's measured

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

Coverage & cadence

  • Time span2014-09-06 → 2021-05-20
  • Measured byOCO-2 (OCO SPECTROMETERS) · GOSAT (TANSO-FTS)
  • 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) and Greenhouse Gases Observing Satellite (GOSAT) 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

multiinstrumentfusedxco2_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="MultiInstrumentFusedXCO2",
    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.