TY - JOUR

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

VL - 14

SP - 5143

EP - 5169

JO - Biogeosciences

JF - Biogeosciences

SN - 1726-4170

IS - 22

ER -