the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
ORCHIDEE-MICT (v8.4.1), a land surface model for the high latitudes: model description and validation
Matthieu Guimberteau
Dan Zhu
Fabienne Maignan
Ye Huang
Chao Yue
Sarah Dantec-Nédélec
Catherine Ottlé
Albert Jornet-Puig
Ana Bastos
Pierre Laurent
Daniel Goll
Simon Bowring
Jinfeng Chang
Bertrand Guenet
Marwa Tifafi
Shushi Peng
Gerhard Krinner
Agnès Ducharne
Fuxing Wang
Tao Wang
Xuhui Wang
Yilong Wang
Zun Yin
Ronny Lauerwald
Emilie Joetzjer
Chunjing Qiu
Hyungjun Kim
Philippe Ciais
Abstract. The high-latitude regions of the Northern Hemisphere are a nexus for the interaction between land surface physical properties and their exchange of carbon and energy with the atmosphere. At these latitudes, two carbon pools of planetary significance – those of the permanently frozen soils (permafrost), and of the great expanse of boreal forest – are vulnerable to destabilization in the face of currently observed climatic warming, the speed and intensity of which are expected to increase with time. Improved projections of future Arctic and boreal ecosystem transformation require improved land surface models that integrate processes specific to these cold biomes. To this end, this study lays out relevant new parameterizations in the ORCHIDEE-MICT land surface model. These describe the interactions between soil carbon, soil temperature and hydrology, and their resulting feedbacks on water and CO2 fluxes, in addition to a recently developed fire module. Outputs from ORCHIDEE-MICT, when forced by two climate input datasets, are extensively evaluated against (i) temperature gradients between the atmosphere and deep soils, (ii) the hydrological components comprising the water balance of the largest high-latitude basins, and (iii) CO2 flux and carbon stock observations. The model performance is good with respect to empirical data, despite a simulated excessive plant water stress and a positive land surface temperature bias. In addition, acute model sensitivity to the choice of input forcing data suggests that the calibration of model parameters is strongly forcing-dependent. Overall, we suggest that this new model design is at the forefront of current efforts to reliably estimate future perturbations to the high-latitude terrestrial environment.
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