Carbon stocks and fluxes in the high latitudes: using site-level data to evaluate Earth system models

Sarah E. Chadburn; Gerhard Krinner; Philipp Porada; Annett Bartsch; Christian Beer; Luca Belelli Marchesini; Julia Boike; Altug Ekici; Bo Elberling; Thomas Friborg; Gustaf Hugelius; Margareta Johansson; Peter Kuhry; Lars Kutzbach; Moritz Langer; Magnus Lund; Frans-Jan W. Parmentier; Shushi Peng; Ko Van Huissteden; Tao Wang; Sebastian Westermann; Dan Zhu; Eleanor J. Burke

doi:10.5194/bg-14-5143-2017

Carbon stocks and fluxes in the high latitudes: using site-level data to evaluate Earth system models

Sarah E. Chadburn, Gerhard Krinner, Philipp Porada, Annett Bartsch, Christian Beer, Luca Belelli Marchesini, Julia Boike, Altug Ekici, Bo Elberling, Thomas Friborg, Gustaf Hugelius, Margareta Johansson, Peter Kuhry, Lars Kutzbach, Moritz Langer, Magnus Lund, Frans-Jan W. Parmentier, Shushi Peng, Ko Van Huissteden, Tao WangSebastian Westermann, Dan Zhu, Eleanor J. Burke

Geography

21 Citations (Scopus)

116 Downloads (Pure)

Abstract

It is important that climate models can accurately simulate the terrestrial carbon cycle in the Arctic due to the large and potentially labile carbon stocks found in permafrost-affected environments, which can lead to a positive climate feedback, along with the possibility of future carbon sinks from northward expansion of vegetation under climate warming. Here we evaluate the simulation of tundra carbon stocks and fluxes in three land surface schemes that each form part of major Earth system models (JSBACH, Germany; JULES, UK; ORCHIDEE, France). We use a site-level approach in which comprehensive, high-frequency datasets allow us to disentangle the importance of different processes. The models have improved physical permafrost processes and there is a reasonable correspondence between the simulated and measured physical variables, including soil temperature, soil moisture and snow.

Original language	English
Journal	Biogeosciences
Volume	14
Issue number	22
Pages (from-to)	5143-5169
Number of pages	27
ISSN	1726-4170
DOIs	https://doi.org/10.5194/bg-14-5143-2017
Publication status	Published - 2017

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Carbon stocks and fluxes in the high latitudes using site-level data to evaluate Earth system modelsFinal published version, 4.04 MBLicence: CC BY

Cite this

Chadburn, S. E., Krinner, G., Porada, P., Bartsch, A., Beer, C., Marchesini, L. B., Boike, J., Ekici, A., Elberling, B., Friborg, T., Hugelius, G., Johansson, M., Kuhry, P., Kutzbach, L., Langer, M., Lund, M., Parmentier, F-J. W., Peng, S., Van Huissteden, K., ... Burke, E. J. (2017). Carbon stocks and fluxes in the high latitudes: using site-level data to evaluate Earth system models. Biogeosciences, 14(22), 5143-5169. https://doi.org/10.5194/bg-14-5143-2017

Chadburn, SE, Krinner, G, Porada, P, Bartsch, A, Beer, C, Marchesini, LB, Boike, J, Ekici, A, Elberling, B , Friborg, T, Hugelius, G, Johansson, M, Kuhry, P, Kutzbach, L, Langer, M, Lund, M, Parmentier, F-JW, Peng, S, Van Huissteden, K, Wang, T, Westermann, S, Zhu, D & Burke, EJ 2017, 'Carbon stocks and fluxes in the high latitudes: using site-level data to evaluate Earth system models', Biogeosciences, vol. 14, no. 22, pp. 5143-5169. https://doi.org/10.5194/bg-14-5143-2017

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title = "Carbon stocks and fluxes in the high latitudes: using site-level data to evaluate Earth system models",

abstract = "It is important that climate models can accurately simulate the terrestrial carbon cycle in the Arctic due to the large and potentially labile carbon stocks found in permafrost-affected environments, which can lead to a positive climate feedback, along with the possibility of future carbon sinks from northward expansion of vegetation under climate warming. Here we evaluate the simulation of tundra carbon stocks and fluxes in three land surface schemes that each form part of major Earth system models (JSBACH, Germany; JULES, UK; ORCHIDEE, France). We use a site-level approach in which comprehensive, high-frequency datasets allow us to disentangle the importance of different processes. The models have improved physical permafrost processes and there is a reasonable correspondence between the simulated and measured physical variables, including soil temperature, soil moisture and snow. ",

author = "Chadburn, {Sarah E.} and Gerhard Krinner and Philipp Porada and Annett Bartsch and Christian Beer and Marchesini, {Luca Belelli} and Julia Boike and Altug Ekici and Bo Elberling and Thomas Friborg and Gustaf Hugelius and Margareta Johansson and Peter Kuhry and Lars Kutzbach and Moritz Langer and Magnus Lund and Parmentier, {Frans-Jan W.} and Shushi Peng and {Van Huissteden}, Ko and Tao Wang and Sebastian Westermann and Dan Zhu and Burke, {Eleanor J.}",

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T1 - Carbon stocks and fluxes in the high latitudes

T2 - using site-level data to evaluate Earth system models

AU - Chadburn, Sarah E.

AU - Krinner, Gerhard

AU - Porada, Philipp

AU - Bartsch, Annett

AU - Beer, Christian

AU - Marchesini, Luca Belelli

AU - Boike, Julia

AU - Ekici, Altug

AU - Elberling, Bo

AU - Friborg, Thomas

AU - Hugelius, Gustaf

AU - Johansson, Margareta

AU - Kuhry, Peter

AU - Kutzbach, Lars

AU - Langer, Moritz

AU - Lund, Magnus

AU - Parmentier, Frans-Jan W.

AU - Peng, Shushi

AU - Van Huissteden, Ko

AU - Wang, Tao

AU - Westermann, Sebastian

AU - Zhu, Dan

AU - Burke, Eleanor J.

N1 - CENPERMOA[2017]

PY - 2017

Y1 - 2017

N2 - It is important that climate models can accurately simulate the terrestrial carbon cycle in the Arctic due to the large and potentially labile carbon stocks found in permafrost-affected environments, which can lead to a positive climate feedback, along with the possibility of future carbon sinks from northward expansion of vegetation under climate warming. Here we evaluate the simulation of tundra carbon stocks and fluxes in three land surface schemes that each form part of major Earth system models (JSBACH, Germany; JULES, UK; ORCHIDEE, France). We use a site-level approach in which comprehensive, high-frequency datasets allow us to disentangle the importance of different processes. The models have improved physical permafrost processes and there is a reasonable correspondence between the simulated and measured physical variables, including soil temperature, soil moisture and snow.

AB - It is important that climate models can accurately simulate the terrestrial carbon cycle in the Arctic due to the large and potentially labile carbon stocks found in permafrost-affected environments, which can lead to a positive climate feedback, along with the possibility of future carbon sinks from northward expansion of vegetation under climate warming. Here we evaluate the simulation of tundra carbon stocks and fluxes in three land surface schemes that each form part of major Earth system models (JSBACH, Germany; JULES, UK; ORCHIDEE, France). We use a site-level approach in which comprehensive, high-frequency datasets allow us to disentangle the importance of different processes. The models have improved physical permafrost processes and there is a reasonable correspondence between the simulated and measured physical variables, including soil temperature, soil moisture and snow.

U2 - 10.5194/bg-14-5143-2017

DO - 10.5194/bg-14-5143-2017

M3 - Journal article

SN - 1726-4170

VL - 14

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JO - Biogeosciences

JF - Biogeosciences

IS - 22

ER -