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Gridded Winter Soil CO2 Flux Estimates for pan-Arctic and Boreal Regions, 2003-2100

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/1683
Version1
Project
Published2019-09-12
Updated2024-05-01
Usage323 downloads
Citations2 publications cited this dataset

Description

This dataset provides gridded estimates of soil CO2 flux (g C m-2 d-1) for the winter non-growing season (NGS) across pan-Arctic and Boreal permafrost regions (>49 Deg N), at 25 km spatial resolution. The data are the daily average flux over a monthly period for two climate periods: the baseline climate period represents 2003-2018 and the future climate scenarios period represents 2018-2100 under Representative Concentration Pathways (RCP) 4.5 and 8.5. The data were produced by applying a Boosted Regression Tree machine learning approach to create gridded estimates of emissions based on in situ observations of NGS fluxes provided in a related dataset. The resulting monthly average flux data records can be used to calculate annual NGS soil CO2 flux budgets from 2003-2100.

Science Keywords

  • LAND SURFACE
  • SOILS
  • CARBON
  • ATMOSPHERE
  • ATMOSPHERIC CHEMISTRY
  • CARBON AND HYDROCARBON COMPOUNDS
  • ATMOSPHERIC CARBON DIOXIDE
  • LAND SURFACE
  • SOILS
  • SOIL RESPIRATION
  • LAND SURFACE
  • FROZEN GROUND
  • PERMAFROST

Data Use and Citation

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Crosscite Citation Formatter
Watts, J.D., S. Natali, S. Potter, and B.M. Rogers. 2019. Gridded Winter Soil CO2 Flux Estimates for pan-Arctic and Boreal Regions, 2003-2100. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1683

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.

  • Soil_Carbon_Flux_Maps.pdf