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ORCHIDEE-MICT (v8.4.1), a land surface model for the high latitudes: model description and validation
Zhu, D (Zhu, Dan)1; Guimberteau, M (Guimberteau, Matthieu)1; Maignan, F (Maignan, Fabienne)1; Huang, Y (Huang, Ye)1; Yue, C (Yue, Chao)1; Dantec-Nedelec, S (Dantec-Nedelec, Sarah)1; Ottle, C (Ottle, Catherine)1; Jornet-Puig, A (Jornet-Puig, Albert)1; Bastos, A (Bastos, Ana)1; Laurent, P (Laurent, Pierre)1
刊名GEOSCIENTIFIC MODEL DEVELOPMENT
2018-01-15
卷号11期号:1页码:121-163
关键词GLOBAL VEGETATION MODEL SNOW WATER EQUIVALENT SOIL ORGANIC-CARBON LEAF-AREA INDEX PHOTOSYNTHETICALLY ACTIVE RADIATION MICROWAVE RADIOMETER DATA GROWING STOCK VOLUME HYDRAULIC CONDUCTIVITY INCORPORATING SPITFIRE THERMAL-CONDUCTIVITY
ISSN号1991-959X
DOI10.5194/gmd-11-121-2018
英文摘要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 rel-evant 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.
WOS研究方向Geology
语种英语
出版者COPERNICUS GESELLSCHAFT MBH
WOS记录号WOS:000419991600001
内容类型期刊论文
源URL[http://ir.itpcas.ac.cn/handle/131C11/8759]  
专题青藏高原研究所_图书馆
作者单位1.Univ Paris Saclay, CNRS, CEA, UVSQ,LSCE IPSL,Lab Sci Climat & Environm, F-91191 Gif Sur Yvette, France;
2.Sorbonne Univ UPMC, CNRS, IRD, MNHN,LOCEAN IPSL, 4 Pl Jussieu, F-75005 Paris, France;
3.Peking Univ, Coll Urban & Environm Sci, Sino French Inst Earth Syst Sci, Beijing 100871, Peoples R China;
4.Univ Grenoble Alpes, CNRS, IGE, F-38000 Grenoble, France;
5.Sorbonne Univ, UPMC, CNRS, UMR 7619,METIS, 4 Pl Jussieu, F-75005 Paris, France;
6.Ecole Polytech, Lab Meteorol Dynam, F-91128 Palaiseau, France;
7.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing 100085, Peoples R China;
8.Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100085, Peoples R China;
9.Univ Paris 06, Lab Meteorol Dynam, F-75005 Paris, France;
10.Univ Libre Bruxelles, Brussels, Belgium;
推荐引用方式
GB/T 7714
Zhu, D ,Guimberteau, M ,Maignan, F ,et al. ORCHIDEE-MICT (v8.4.1), a land surface model for the high latitudes: model description and validation[J]. GEOSCIENTIFIC MODEL DEVELOPMENT,2018,11(1):121-163.
APA Zhu, D .,Guimberteau, M .,Maignan, F .,Huang, Y .,Yue, C .,...&Ciais, P .(2018).ORCHIDEE-MICT (v8.4.1), a land surface model for the high latitudes: model description and validation.GEOSCIENTIFIC MODEL DEVELOPMENT,11(1),121-163.
MLA Zhu, D ,et al."ORCHIDEE-MICT (v8.4.1), a land surface model for the high latitudes: model description and validation".GEOSCIENTIFIC MODEL DEVELOPMENT 11.1(2018):121-163.
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