Assessment of model estimates of land-atmosphere CO 2 exchange across Northern Eurasia

International audience A warming climate is altering land-atmosphere exchanges of carbon, with a potential for increased vegetation productivity as well as the mobilization of permafrost soil carbon stores. Here we investigate land-atmosphere carbon dioxide (CO 2) cycling through analysis of net eco...

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Published in:Biogeosciences
Main Authors: Rawlins, M. A, Mcguire, A. David, Kimball, J., Dass, P, Lawrence, D., Chen, X., Delire, C., Koven, C., Macdougall, A, Peng, S., Rinke, A., Saito, K., Zhang, W., Alkama, R., Bohn, T. J, Ciais, Philippe, Decharme, B., Gouttevin, Isabelle, Hajima, T, Ji, D., Gerhard, Krinner, Lettenmaier, D. P., Miller, P., Moore, J.C., Smith, B., Sueyoshi, T
Other Authors: University of Massachusetts Amherst (UMass Amherst), University of Massachusetts System (UMASS), Alaska Cooperative Fish and Wildlife Research Unit, United States Geological Survey Reston (USGS)-University of Alaska Fairbanks (UAF), University of Montana, National Center for Atmospheric Research Boulder (NCAR), University of Washington Seattle, Groupe d'étude de l'atmosphère météorologique (CNRM-GAME), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), Institute of Applied Energy (IAE), Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), University of Victoria Canada (UVIC), Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS), College of Global Change and Earth System Science (GCESS), Beijing Normal University (BNU), Helmholtz-Zentrum München (HZM), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Lund University Lund, ASU School of Earth and Space Exploration (SESE), Arizona State University Tempe (ASU), ICOS-ATC (ICOS-ATC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Météo-France Paris, Météo France, Department of Civil and Environmental Engineering, University of Washington
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2015
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Online Access:https://hal-insu.archives-ouvertes.fr/insu-01218089
https://hal-insu.archives-ouvertes.fr/insu-01218089/document
https://hal-insu.archives-ouvertes.fr/insu-01218089/file/BIOGEOSCIENCES-Assessment%20of%20model%20estimates%20of%20land-atmosphere%20CO2%20exchange%20across%20Northern%20Eurasia.pdf
https://doi.org/10.5194/bg-12-4385-2015
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Summary:International audience A warming climate is altering land-atmosphere exchanges of carbon, with a potential for increased vegetation productivity as well as the mobilization of permafrost soil carbon stores. Here we investigate land-atmosphere carbon dioxide (CO 2) cycling through analysis of net ecosystem productivity (NEP) and its component fluxes of gross primary productivity (GPP) and ecosystem respiration (ER) and soil carbon residence time, simulated by a set of land surface models (LSMs) over a region spanning the drainage basin of Northern Eurasia. The retrospective simulations cover the period 1960–2009 at 0.5 • resolution, which is a scale common among many global carbon and climate model simulations. Model performance benchmarks were drawn from comparisons against both observed CO 2 fluxes derived from site-based eddy covariance measurements as well as regional-scale GPP estimates based on satellite remote-sensing data. Published by Copernicus Publications on behalf of the European Geosciences Union. 4386 M. A. Rawlins et al.: CO 2 Exchange Across Northern Eurasia The site-based comparisons depict a tendency for overestimates in GPP and ER for several of the models, particularly at the two sites to the south. For several models the spatial pattern in GPP explains less than half the variance in the MODIS MOD17 GPP product. Across the models NEP increases by as little as 0.01 to as much as 0.79 g C m −2 yr −2 , equivalent to 3 to 340 % of the respective model means, over the analysis period. For the multimodel average the increase is 135 % of the mean from the first to last 10 years of record (1960–1969 vs. 2000–2009), with a weakening CO 2 sink over the latter decades. Vegetation net primary productivity increased by 8 to 30 % from the first to last 10 years, contributing to soil carbon storage gains. The range in regional mean NEP among the group is twice the multimodel mean, indicative of the uncertainty in CO 2 sink strength. The models simulate that inputs to the soil carbon pool exceeded losses, ...