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Full catalog/CO2Fluxes_Arctic_Boreal_Domain_2377
CO2Fluxes_Arctic_Boreal_Domain_2377·v1·dataset

How much CO₂ Arctic land takes up or releases (2001-2020)

Machine learning-based Arctic-boreal terrestrial ecosystem CO2 fluxes, 2001-2020
biosphere NASA ORNL_CLOUD Level 4 multiple
In plain English

What it measures. Monthly maps of how much carbon dioxide the Arctic and boreal land absorbs through plant growth versus releases through respiration, plus the net balance, at 1-kilometer detail.

How it's made. Generated with a machine-learning model that combined ground-based CO2 flux measurements with weather, satellite, terrain, and soil data, covering 2001 to 2020.

How & where you'd use it. Helps researchers understand whether northern landscapes are soaking up or giving off carbon and how that is changing, including the effect of fires.

What's measured

BIOSPHERE › ECOLOGICAL DYNAMICS › ECOSYSTEM FUNCTIONS › RESPIRATION RATECLIMATE INDICATORS › CARBON FLUXATMOSPHERE › ATMOSPHERIC CHEMISTRY › CARBON AND HYDROCARBON COMPOUNDS › ATMOSPHERIC CARBON DIOXIDELAND SURFACE › SOILS › SOIL PRODUCTIVITY › GROSS PRIMARY PRODUCTION (GPP)LAND SURFACE › SOILS › SOIL RESPIRATIONLAND SURFACE › SOILS › CARBON › NET ECOSYSTEM CO2 EXCHANGE (NEE)

Coverage & cadence

  • Time span2001-01-01 → 2020-12-31
  • Measured byCOMPUTERS (Computer)
  • Processing levelLevel 4
  • Spatial extent-180, 33.68, 180, 90
  • Formatsmultiple
  • StatusCOMPLETE

What you can do with it

  • Map vegetation, forests and biomass
  • Monitor ecosystem productivity and carbon
  • Support habitat and biodiversity studies
Official description

This dataset provides gridded estimates of gross primary productivity (GPP), ecosystem respiration (Reco), and net ecosystem CO2 exchange (NEE) across the circumpolar terrestrial Arctic-boreal region at a 1-km spatial resolution. Monthly CO2 flux data from 2001 to 2020 were generated using terrestrial eddy covariance and chamber CO2 flux observations, combined with geospatial meteorological, remote sensing, topographical and soil data, all within a random forest modeling framework. Aggregated average annual NEE, average annual NEE with direct fire emissions added based on the Global Fire Emissions Database (GFED) product, and temporal trends in annual NEE rasters over 2002-2020 are also included. The data are provided in NetCDF and GeoTIFF formats.

Get the data

co2fluxes_arctic_boreal_domain_2377_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="CO2Fluxes_Arctic_Boreal_Domain_2377",
    version="1",
    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 ORNL_CLOUD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.