Articles | Volume 11, issue 8
Geosci. Model Dev., 11, 3279–3297, 2018
https://doi.org/10.5194/gmd-11-3279-2018

Special issue: Changing Permafrost in the Arctic and its Global Effects in...

Geosci. Model Dev., 11, 3279–3297, 2018
https://doi.org/10.5194/gmd-11-3279-2018
Development and technical paper
14 Aug 2018
Development and technical paper | 14 Aug 2018

Implementing northern peatlands in a global land surface model: description and evaluation in the ORCHIDEE high-latitude version model (ORC-HL-PEAT)

Chloé Largeron et al.

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Cited articles

Aerts, R., Verhoeven, J. A., and Whigham, D.: Plant-mediated controls on nutrient cycling in temperate fens and bogs, Ecology, 80, 2170–2181, 1999. a
Baldocchi, D., Falge, E., Gu, L., Olson, R., Hollinger, D., Running, S., Anthoni, P., Bernhofer, Ch., Davis, K., Evans, R., Fuentes, J., Goldstein, A., Katul, G., Law, B., Lee, X., Malhi, Y., Meyers, T., Munger, W., Oechel, W., Paw U, K. T., Pilegaard, K., Schmid, H. P., Valentini, R., Verma, S., Vesala, T., Wilson, K., and Wofsy, S.: FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities, B. Am. Meteorol. Soc., 82, 2415–2434, 2001. a, b, c, d
Ball, J. T., Woodrow, I. E., and Berry, J. A.: A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions, in: Progress in photosynthesis research, Springer, 221–224, 1987. a
Beringer, J., Lynch, A. H., Chapin III, F. S., Mack, M., and Bonan, G. B.: The representation of arctic soils in the land surface model: the importance of mosses, J. Climate, 14, 3324–3335, 2001. a
Boatman, D. and Tomlinson, R.: The Silver Flowe: I. Some structural and hydrological features of Brishie Bog and their bearing on pool formation, J. Ecol., 653–666, 1973. a
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Peatlands are widely present in boreal regions and contain large carbon stocks due to their hydrologic properties and high water content. We have enhanced the global land surface model ORCHIDEE by introducing boreal peatlands. These are considered as a new type of vegetation in the model, with specific hydrological properties for peat soil. In this paper, we focus on the representation of the hydrology of northern peatlands and on the evaluation of the hydrological impact of this implementation.