@article{e4d261e424ec499bbe5839d114d41b33,
title = "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",
abstract = "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 yr−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.",
author = "G. Hugelius and J. Ramage and E. Burke and A. Chatterjee and Smallman, {T. L.} and T. Aalto and A. Bastos and C. Biasi and Canadell, {J. G.} and N. Chandra and F. Chevallier and P. Ciais and J. Chang and L. Feng and Jones, {M. W.} and T. Kleinen and M. Kuhn and R. Lauerwald and J. Liu and E. L{\'o}pez-Blanco and Luijkx, {I. T.} and Marushchak, {M. E.} and Natali, {S. M.} and Y. Niwa and D. Olefeldt and Palmer, {P. I.} and Patra, {P. K.} and W. Peters and S. Potter and B. Poulter and Rogers, {B. M.} and Riley, {W. J.} and M. Saunois and Schuur, {E. A. G.} and Thompson, {R. L.} and C. Treat and A. Tsuruta and Turetsky, {M. R.} and A.-M. Virkkala and C. Voigt and J. Watts and Q. Zhu and B. Zheng",
note = "Data Availability Statement: Process-based model simulations were accessed from their archives, including the CMIP5 archive (https://esgf-node.llnl.gov/search/cmip5) and CMIP6 archive (https://esgf-node.llnl.gov/search/cmip6). We downloaded and extracted carbon stocks and fluxes from both the Permafrost Carbon Network (PCN) and Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP) ensembles via the ORNL DAAC (Huntzinger et al., 2018; McGuire et al., 2022, respectively). Data from the Inter-Sectoral Impact Model Intercomparison Project phases 2 and 3 (ISIMIP2a and ISIMIP2b) is available from https://www.isimip.org. CARDAMOM data is available via https://doi.org/10.7488/ds/7505. All data sources for data-driven ecosystem upscaling are provided by Ramage et al. (2024). Monthly data for all models included in the top-down inversion ensembles are available via the Bolin Centre Database (Hugelius et al., 2024). The CARDAMOM-permafrost data set can be freely downloaded from https://doi.org/10.7488/ds/7505. Funding information: European Union's Horizon 2020 Research and Innovation Programme to the Nunataryuk. Grant Number: 773421; Swedish Research Council. Grant Number: 2022-04839; Swedish Academy of Science. Grant Number: FR-2021/0004; Atmosphere and Climate Competence Center. Grant Number: 337550; National Aeronautics and Space Administration. Grant Number: 80NM0018D0004; German Federal Ministry of Education and Research. Grant Number: 01LP1921A; Natural Environment Research Council. Grant Number: NE/R016518/1, NE/N018079/1",
year = "2024",
month = oct,
doi = "10.1029/2023GB007969",
language = "English",
volume = "38",
journal = "Global Biogeochemical Cycles",
issn = "0886-6236",
publisher = "American Geophysical Union",
number = "10",
}