Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
doi:10.5194/gmd-2017-65
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Development and technical paper
28 Mar 2017
Review status
This discussion paper is under review for the journal Geoscientific Model Development (GMD).
Towards a more detailed representation of high-latitude vegetation in the global land surface model ORCHIDEE (ORC-HL-VEGv1.0)
Arsène Druel1,2, Philippe Peylin1, Gerhard Krinner1, Philippe Ciais1, Nicolas Viovy1, Anna Peregon1,3, Vladislav Bastrikov1, Natalya Kosykh3, and Nina Mironycheva-Tokareva3 1Laboratoire des Sciences du Climat et de l’Environnement, CEA-CNRS-UVSQ CE Orme des Merisiers, 91 190 Gif sur Yvette, France
2CNRS, Univ. Grenoble Alpes, Institut des Géosciences de l’Environnement (IGE), F-38000 Grenoble, France
3Institute of Soil Science and Agrochemistry, Siberian Branch Russian Academy of Sciences (SB RAS), Novosibirsk, 630090, Ak. Lavrentieva ave., 8/2, Russia
Abstract. To improve the simulation of vegetation-climate feedbacks in the high latitudes, three new circumpolar Plant Functional Types (PFTs) were added in the ORCHIDEE land surface model, namely non-vascular plants (NVPs) representing bryophytes and lichens, arctic shrubs, and arctic C3 grasses. Non-vascular plants are assigned no stomatal conductance, very shallow roots, and can desiccate during dry episodes and become active again during wet periods, which gives them a larger phenological plasticity compared to grasses and shrubs. Shrubs have a specific carbon allocation scheme, and differ from trees by their larger survival rates in winter, due to protection by snow. Arctic C3 grasses have the same equations than in the original ORCHIDEE version, but different parameter values, optimized from in-situ observations of biomass and NPP in Siberia. In situ observations of living biomass and productivity from Siberia were used to calibrate the parameters of the new PFTs using a Bayesian optimization procedure. With the new PFTs, we obtain a lower Net Primary Productivity (NPP) by 31 % (from 55° N), as well as a lower roughness length (−41 %), transpiration (+33 %) and a higher winter albedo (by 3.6 %) due to a larger snow cover. A simulation of the water balance and runoff and drainage in the high northern latitudes using the new PFTs results in an increase of fresh water discharge in the Arctic ocean by 11 % (+140 km−3 y−1), owing to less evapotranspiration. Future developments should focus on the competition between these three PFTs and boreal trees PFTs, in order to simulate their area changes in response to climate change, and the effect of carbon-nitrogen interactions.

Citation: Druel, A., Peylin, P., Krinner, G., Ciais, P., Viovy, N., Peregon, A., Bastrikov, V., Kosykh, N., and Mironycheva-Tokareva, N.: Towards a more detailed representation of high-latitude vegetation in the global land surface model ORCHIDEE (ORC-HL-VEGv1.0), Geosci. Model Dev. Discuss., doi:10.5194/gmd-2017-65, in review, 2017.
Arsène Druel et al.
Arsène Druel et al.
Arsène Druel et al.

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Short summary
To improve the simulation of vegetation-climate feedbacks in the high latitudes, three new circumpolar vegetation types were added in the ORCHIDEE land surface model: bryophytes (mosses) and lichens, arctic shrubs, and arctic grasses. This introduction induces modification of vegetation distribution and physical behavior, implying for exemple lower productivity and roughness and higher winter albedo or fresh water discharge in the Arctic ocean.
To improve the simulation of vegetation-climate feedbacks in the high latitudes, three new...
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