ORCHIDEE-MICT (revision 4126), a land surface model for the high-latitudes: model description and validation

Guimberteau, Matthieu; Zhu, Dan; Maignan, Fabienne; Huang, Yulin; Yue, Chao; Dantec-Nédélec, Sarah; Ottlé, Catherine; Jornet-Puig, Albert; Bastos, Ana; Praly, Laurent; Goll, Daniel S.; Bowring, Simon; Chang, Jinfeng; Guenet, Bertrand; Tifafi, Marwa; Peng, Shushi; Krinner, Gerhard; Ducharne, Agnès; Wang, F.; Wang, Tao; Wang, Xuhui; Wang, Yilong; Yin, Zun; Lauerwald, Ronny; Joetzjer, Émilie; Qiu, Chunjing; Kim, Hyungjun; Ciais, Philippe

doi:10.5194/gmd-2017-122

Cited by 17 publications

(31 citation statements)

References 107 publications

(186 reference statements)

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“…This version is described in Burke et al (2017) and available via the Met Office Science Repository Service (on request for access) at https://code.metoffice.gov.uk/trac/jules/browser/main/ branches/dev/eleanorburke/vn4.3_permafrost. The ORCHIDEE-MICT high latitude model version used in the study is described in Guimberteau et al (2017). The SVN version of the code branch is https://forge.ipsl.jussieu.fr/orchidee/browser/ branches/ORCHIDEE-MICT.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2017

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Abstract. 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.We show that if the models simulate the correct leaf area index (LAI), the standard C3 photosynthesis schemes produce the correct order of magnitude of carbon fluxes. Therefore, simulating the correct LAI is one of the first priorities. LAI depends quite strongly on climatic variables alone, as we see by the fact that the dynamic vegetation model can simulate most of the differences in LAI between sites, based almost entirely on climate inputs. However, we also identify an influence from nutrient limitation as the LAI becomes too large at some of the more nutrient-limited sites. We conclude that including moss as well as vascular plants is of primary importance to the carbon budget, as moss contributes a large fraction to the seasonal CO 2 flux in nutrient-limited conditions. Moss photosynthetic activity can be strongly influenced by the moisture content of moss, and the carbon uptake can be significantly different from vascular plants with a similar LAI.The soil carbon stocks depend strongly on the rate of input of carbon from the vegetation to the soil, and our analysis suggests that an improved simulation of photosynthesis would also lead to an improved simulation of soil carbon stocks. However, the stocks are also influenced by soil carbon burial (e.g. through cryoturbation) and the rate of heterotrophic respiration, which depends on the soil physical state. More detailed below-ground measurements are needed to fully evaluate biological and physical soil processes. Furthermore, even if these processes are well modelled, the soil carbon profiles cannot resemble peat layers as peat accumulation processes are not represented in the models.Thus, we identify three priority areas for model development: (1) dynamic vegetation including (a) climate and (b) nutrient limitation effects; (2) adding moss as a plant functional type; and an (3) improved vertical profile of soil carbon including peat processes.

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Section: Discussionmentioning

confidence: 99%

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

et al. 2017

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“…However, models with depth-dependent diffusion coefficients have been tested, but did not yield substantial improvements relative to 25 models with a fixed diffusion coefficient (Boudreau, 1986). In fact, most of the models of diffusion at ecosystem level assume a constant diffusion parameter with depth (Bruun et al, 2007;Guimberteau et al, 2017;Obrien and Stout, 1978;Wynn et al, 2005). Our results confirm that this assumption is valid for four temperate sites with different vegetation inputs and soil properties.…”

Section: Soc Stocks and Profilesmentioning

confidence: 99%

ORCHIDEE-SOM: Modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe

Camino‐Serrano¹,

Guenet²,

Luyssaert³

et al. 2017

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Abstract. Current Land Surface Models (LSMs) typically represent soils in a very simplistic way, assuming soil organic carbon (SOC) as a bulk, thus impeding a correct representation of deep soil carbon dynamics. Moreover, LSMs generally neglect the production and export of dissolved organic carbon (DOC) from soils to rivers, leading to overestimations of the potential carbon sequestration on land. These common oversimplified processing of SOC in LSMs is partly responsible for the large uncertainty in the predictions of the soil carbon response to climate 30 change. In this study, we present a new soil carbon module called ORCHIDEE-SOM, embedded within the land surface model ORCHIDEE, which is able to reproduce the DOC and SOC dynamics in a vertically discretized soil to two meters. The model includes processes of biological production and consumption of SOC and DOC, DOC Geosci. Model Dev. Discuss., https://doi

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“…The amplitude of soil moisture depends on soil texture, which is a part of boundary conditions. Explicit description of the ORCHIDEE-MICT model can be found in Guimberteau et al (2017).…”

Section: Esa CCI Soil Moisturementioning

confidence: 99%

“…In this study, we evaluated a set of SM simulations over China using the land surface model: ORCHIDEE-MICT (ORganizing Carbon and Hydrology in Dynamic EcosystEms: aMeliorated Interactions between Carbon and Temperature) (Guimberteau et al, 2017), which integrates land surface hydrology, energy budgets and vegetation dynamics (prognostic phenology, photo-synthesis and ecosystem carbon cycling) operating on a 30-min time step. Four atmospheric forcing data were used to drive the simulations.…”

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Evaluation of ORCHIDEE-MICT simulated soil moisture over China and impacts of different atmospheric forcing data

Yin¹,

Ottlé²,

Ciais³

et al. 2018

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and correlation coefficient (r WFDEI = 0.64) respectively, suggesting that both GSWP3 and WFDEI are good choices for further hydrological studies. The mismatch between simulated and observed soil moisture is mainly explained by squared bias (SB) and lack of correlation weighted by the standard deviation (LCS). Large SB suggests that the parameterization in ORCHIDEE-MICT should be calibrated for further study in China. High LCS and underestimated soil moisture in the North China Plain demonstrate possible significant impacts of human activities like irrigation on soil moisture variation, which was not consid-15 ered in our simulations. Finally, the discrepancies (D) of meteorological variables and simulated soil moisture among the four simulations are analyzed. The result shows that the D of soil moisture is mainly caused by the D in precipitation frequency and air humidity rather than precipitation amount.

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ORCHIDEE-MICT (revision 4126), a land surface model for the high-latitudes: model description and validation

Cited by 17 publications

References 107 publications

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

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

ORCHIDEE-SOM: Modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe

Evaluation of ORCHIDEE-MICT simulated soil moisture over China and impacts of different atmospheric forcing data

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