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

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 fro...

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Bibliographic Details
Published in:Biogeosciences
Main Authors: Chadburn, Sarah E., Krinner, Gerhard, Porada, Philipp, Bartsch, Annett, Beer, Christian, Marchesini, Luca Belelli, Boike, Julia, Ekici, Altug, Elberling, Bo, Friborg, Thomas, Hugelius, Gustaf, Johansson, Margareta, Kuhry, Peter, Kutzbach, Lars, Langer, Moritz, Lund, Magnus, Parmentier, Frans-Jan W., Peng, Shushi, Van Huissteden, Ko, Wang, Tao, Westermann, Sebastian, Zhu, Dan, Burke, Eleanor J.
Format: Article in Journal/Newspaper
Language:English
Published: 2017
Subjects:
Arctic
Jules
permafrost
Tundra
Online Access:https://curis.ku.dk/portal/da/publications/carbon-stocks-and-fluxes-in-the-high-latitudes(feaa162c-2069-402f-8e7f-3b20168926c2).html
https://doi.org/10.5194/bg-14-5143-2017
https://curis.ku.dk/ws/files/186675760/Carbon_stocks_and_fluxes_in_the_high_latitudes_using_site_level_data_to_evaluate_Earth_system_models.pdf
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Summary: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.

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