d021·dataset
CO2 over cities & power plants
OCO-3 Snapshot Area Map XCO2
GES DISC OCO3_L2_Lite_FP cloud-native ~3 km footprint, ~80×80 km SAM scenes variable (scheduler-driven) NetCDF atmospheregreenhouse-gasesurban-emissions
OCO-3 SAM mode targets cities + power plants for dense XCO2 raster — anthropogenic emissions attribution from space.
OCO-3 Snapshot Area Map XCO2
OCO-3 SAM mode targets cities + power plants for dense XCO2 raster — anthropogenic emissions attribution from space.
Access
- Python (earthaccess):
short_name='OCO3_L2_Lite_FP' - Portal: https://disc.gsfc.nasa.gov/datasets/OCO3_L2_Lite_FP_11.2r/summary
Gotchas
- SAM targets are scheduled, not opportunistic
- ±52° latitude cap (ISS orbit)
- SIF is separately available in OCO3_L2_Lite_SIF
Related
- Other datasets: d020
- Questions: q02
Sources
The access details, code, and sources below are kept in the original English for technical accuracy.
Quick access (cloud-direct)
import earthaccess
earthaccess.login(strategy="netrc")
results = earthaccess.search_data(
short_name="OCO3_L2_Lite_FP",
bounding_box=(-122.5, 37.2, -121.8, 37.9),
temporal=("2024-01-01", "2024-12-31"),
)
files = earthaccess.open(results) # stream from GES DISC Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package. 📚 Problem Finder KB
Not yet tracked in the KB.