Articles | Volume 10, issue 2
https://doi.org/10.5194/esd-10-233-2019
https://doi.org/10.5194/esd-10-233-2019
Research article
 | 
24 Apr 2019
Research article |  | 24 Apr 2019

Evaluation of terrestrial pan-Arctic carbon cycling using a data-assimilation system

Efrén López-Blanco, Jean-François Exbrayat, Magnus Lund, Torben R. Christensen, Mikkel P. Tamstorf, Darren Slevin, Gustaf Hugelius, Anthony A. Bloom, and Mathew Williams

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Cited articles

Ahlström, A., Schurgers, G., Arneth, A., and Smith, B.: Robustness and uncertainty in terrestrial ecosystem carbon response to CMIP5 climate change projections, Environ. Res. Lett., 7, 044008, https://doi.org/10.1088/1748-9326/7/4/044008, 2012. 
Akihiko, I., Kazuya, N., Christopher, P. O. R., Louis, F., Alexandra-Jane, H., Guy, M., Ingrid, J., Hanqin, T., Jia, Y., Shufen, P., Catherine, M., Richard, B., Thomas, H., Jörg, S., Sebastian, O., Sibyll, S., Philippe, C., Jinfeng, C., Rashid, R., Ning, Z., and Fang, Z.: Photosynthetic productivity and its efficiencies in ISIMIP2a biome models: benchmarking for impact assessment studies, Environ. Res. Lett., 12, 085001, https://doi.org/10.1088/1748-9326/aa7a19, 2017. 
AMAP: Snow, water, ice and permafrost in the Arctic (SWIPA) 2017, Arctic Monitoring and Assessment Programme (AMAP)  Oslo, Norway, xiv + 269 pp., 2017. 
Anav, A., Murray-Tortarolo, G., Friedlingstein, P., Sitch, S., Piao, S., and Zhu, Z.: Evaluation of Land Surface Models in Reproducing Satellite Derived Leaf Area Index over the High-Latitude Northern Hemisphere. Part II: Earth System Models, Remote Sensing, 5, 3637, https://doi.org/10.3390/rs5083637, 2013. 
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Short summary
The terrestrial CO2 exchange in Arctic ecosystems plays an important role in the global carbon cycle and is particularly sensitive to the ongoing warming experienced in recent years. To improve our understanding of the atmosphere–biosphere interplay, we evaluated the state of the terrestrial pan-Arctic carbon cycling using a promising data assimilation system in the first 15 years of the 21st century. This is crucial when it comes to making predictions about the future state of the carbon cycle.
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