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Permafrost Region Greenhouse Gas Budgets Suggest a Weak CO2 Sink and CH4 and N2O Sources, But Magnitudes Differ Between Top-Down and Bottom-Up Methods

Journal Article · · Global Biogeochemical Cycles
DOI:https://doi.org/10.1029/2023gb007969· OSTI ID:2498353
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  1. Stockholm Univ. (Sweden)
  2. United Kingdom Meteorological Office, Exeter, Devon (United Kingdom)
  3. California Institute of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Laboratory (JPL)
  4. Univ. of Edinburgh, Scotland (United Kingdom)
  5. Finnish Meteorological Inst. (FMI), Helsinki (Finland)
  6. Max Planck Institute for Biogeochemistry, Jena (Germany)
  7. Univ. of Eastern Finland, Kuopio (Finland); Univ. Innsbruck (Austria)
  8. Commonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra, ACT (Australia)
  9. Japan Agency for Marine-Earth Science and Technology, Yokohama (Japan)
  10. Institut Pierre Simon Laplace, Gif‐sur‐Yvette (France). Laboratoire des Sciences du Climat et de l'Environnement; Alternative Energies and Atomic Energy Commission (CEA), Gif‐sur‐Yvette (France); Centre National de la Recherche Scientifique (CNRS), Gif‐sur‐Yvette (France); Univ. of Versailles Saint-Quentin-en-Yvelines, Gif‐sur‐Yvette (France); Univ. Paris-Saclay, Gif-sur-Yvette (France)
  11. Zhejiang Univ., Hangzhou (China)
  12. Univ. of East Anglia, Norwich (United Kingdom)
  13. Max Planck Institute for Meteorology, Hamburg (Germany)
  14. Univ. of New Hampshire, Durham, NH (United States)
  15. Univ. Paris-Saclay, Palaiseau (France); French National Research Institute for Agriculture, Food and Environment (INRAE), Palaiseau (France); AgroParisTech, Palaiseau (France)
  16. Aarhus Univ. (Denmark); Greenland Institute of Natural Resources, Nuuk (Greenland)
  17. Wageningen Univ. (Netherlands)
  18. Univ. of Eastern Finland, Kuopio (Finland)
  19. Woodwell Climate Research Center Falmouth MA USA
  20. National Institute for Environmental Studies (NIES), Tsukuba (Japan); Meteorological Research Inst. (MRI), Tsukuba (Japan)
  21. Univ. of Alberta, Edmonton, AB (Canada)
  22. National Center for Earth Observation University of Edinburgh Edinburgh UK
  23. Research Institute for Humanity and Research, Kyoto (Japan)
  24. Wageningen Univ. (Netherlands); Univ. of Groningen (Netherlands)
  25. Woodwell Climate Research Center, Falmouth, MA (United States)
  26. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
  27. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
  28. Northern Arizona Univ., Flagstaff, AZ (United States)
  29. Norsk Institutt for Luftforskning (NILU), Kjeller (Norway)
  30. Alfred Wegener Inst. for Polar and Marine Research, Bremerhaven (Germany)
  31. Univ. of Colorado, Boulder, CO (United States)
  32. Univ. of Eastern Finland, Kuopio (Finland); Univ. of Hamburg (Germany)
  33. Tsinghua Univ., Beijing (China)
Large stocks of soil carbon (C) and nitrogen (N) in northern permafrost soils are vulnerable to remobilization under climate change. However, there are large uncertainties in present-day greenhouse gas (GHG) budgets. We compare bottom-up (data-driven upscaling and process-based models) and top-down (atmospheric inversion models) budgets of carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) as well as lateral fluxes of C and N across the region over 2000–2020. Bottom-up approaches estimate higher land-to-atmosphere fluxes for all GHGs. Both bottom-up and top-down approaches show a sink of CO2 in natural ecosystems (bottom-up: -29 (-709, 455), top-down: -587 (-862, -312) Tg CO2-C yr-1) and sources of CH4 (bottom-up: 38 (22, 53), top-down: 15 (11, 18) Tg CH4-C y-1) and N2O (bottom-up: 0.7 (0.1, 1.3), top-down: 0.09 (-0.19, 0.37) Tg N2O-N yr-1). The combined global warming potential of all three gases (GWP-100) cannot be distinguished from neutral. Over shorter timescales (GWP-20), the region is a net GHG source because CH4 dominates the total forcing. The net CO2 sink in Boreal forests and wetlands is largely offset by fires and inland water CO2 emissions as well as CH4 emissions from wetlands and inland waters, with a smaller contribution from N2O emissions. Priorities for future research include the representation of inland waters in process-based models and the compilation of process-model ensembles for CH4 and N2O. Discrepancies between bottom-up and top-down methods call for analyses of how prior flux ensembles impact inversion budgets, more and well-distributed in situ GHG measurements and improved resolution in upscaling techniques.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth & Environmental Systems Science (EESS); National Aeronautics and Space Administration (NASA)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
2498353
Journal Information:
Global Biogeochemical Cycles, Journal Name: Global Biogeochemical Cycles Journal Issue: 10 Vol. 38; ISSN 0886-6236
Publisher:
American Geophysical Union (AGU)Copyright Statement
Country of Publication:
United States
Language:
English

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