Machine learning-based Arctic-boreal terrestrial ecosystem CO2 fluxes, 2001-2020

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.

Resources

Name Format Description Link
The dataset's project home page HTML ABoVE project site Open resource
Get a related visualization JPG Annual average terrestrial net ecosystem exchange (NEE) and direct fire emissions from 2002-2020 showing areas with net CO2 sinks (i.e. areas taking up CO2 from the atmosphere) and net CO2 sources (i.e. releasing net CO2 emissions to the atmosphere) (Virkkala et al., 2024). Open resource
View documentation related to this dataset HTML ORNL DAAC Data Set Documentation Open resource
Download this dataset HTML This link allows direct data access via Earthdata login Open resource
View documentation related to this dataset PDF Machine learning-based Arctic-boreal terrestrial ecosystem CO2 fluxes, 2001-2020: CO2Fluxes_Arctic_Boreal_Domain.pdf Open resource
This dataset's landing page HTML Data set Landing Page DOI URL Open resource
Use OPeNDAP to access the dataset's data HTML USE SERVICE API Open resource
Google Scholar search results HTML Search results for publications that cite this dataset by its DOI. Open resource

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