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

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/2377
Version1
Project
Published2024-10-04
Usage38 downloads

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.

Science Keywords

  • CLIMATE INDICATORS
  • CARBON FLUX
  • ATMOSPHERE
  • ATMOSPHERIC CHEMISTRY
  • CARBON AND HYDROCARBON COMPOUNDS
  • ATMOSPHERIC CARBON DIOXIDE
  • BIOSPHERE
  • ECOLOGICAL DYNAMICS
  • ECOSYSTEM FUNCTIONS
  • RESPIRATION RATE
  • LAND SURFACE
  • SOILS
  • SOIL PRODUCTIVITY
  • GROSS PRIMARY PRODUCTION (GPP)
  • LAND SURFACE
  • SOILS
  • SOIL RESPIRATION
  • LAND SURFACE
  • SOILS
  • CARBON
  • NET ECOSYSTEM CO2 EXCHANGE (NEE)

Data Use and Citation

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Crosscite Citation Formatter
Virkkala, A-M., B.M. Rogers, J.D. Watts, K. Arndt, S. Potter, I. Wargowsky, and S. Natali. 2024. Machine learning-based Arctic-boreal terrestrial ecosystem CO2 fluxes, 2001-2020. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2377

This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.

Data Files

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Companion Files

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Dataset has 1 companion files.

  • CO2Fluxes_Arctic_Boreal_Domain.pdf