气候变化领域集成服务门户(CCPortal): Evaluation of ORCHIDEE-MICT-simulated soil moisture over China and impacts of different atmospheric forcing data

CCPortal

DOI	10.5194/hess-22-5463-2018
	Evaluation of ORCHIDEE-MICT-simulated soil moisture over China and impacts of different atmospheric forcing data
	Yin Z.; Ottlé C.; Ciais P.; Guimberteau M.; Wang X.; Zhu D.; Maignan F.; Peng S.; Piao S.; Polcher J.; Zhou F.; Kim H.
发表日期	2018
ISSN	1027-5606
起始页码	5463
结束页码	5484
卷号	22 期号:10
英文摘要	Soil moisture is a key variable of land surface hydrology, and its correct representation in land surface models is crucial for local to global climate predictions. The errors may come from the model itself (structure and parameterization) but also from the meteorological forcing used. In order to separate the two source of errors, four atmospheric forcing datasets, GSWP3 (Global Soil Wetness Project Phase 3), PGF (Princeton Global meteorological Forcing), CRU-NCEP (Climatic Research Unit-National Center for Environmental Prediction), and WFDEI (WATCH Forcing Data methodology applied to ERA-Interim reanalysis data), were used to drive simulations in China by the land surface model ORCHIDEE-MICT(ORganizing Carbon and Hydrology in Dynamic EcosystEms: aMeliorated Interactions between Carbon and Temperature). Simulated soil moisture was compared with in situ and satellite datasets at different spatial and temporal scales in order to (1) estimate the ability of ORCHIDEE-MICT to represent soil moisture dynamics in China; (2) demonstrate the most suitable forcing dataset for further hydrological studies in Yangtze and Yellow River basins; and (3) understand the discrepancies of simulated soil moisture among simulations. Results showed that ORCHIDEE-MICT can simulate reasonable soil moisture dynamics in China, but the quality varies with forcing data. Simulated soil moisture driven by GSWP3 and WFDEI shows the best performance according to the root mean square error (RMSE) and correlation coefficient, respectively, suggesting that both GSWP3 and WFDEI are good choices for further hydrological studies in the two catchments. The mismatch between simulated and observed soil moisture is mainly explained by the bias of magnitude, suggesting that the parameterization in ORCHIDEE-MICT should be revised for further simulations in China. Underestimated soil moisture in the North China Plain demonstrates possible significant impacts of human activities like irrigation on soil moisture variation, which was not considered in our simulations. Finally, the discrepancies of meteorological variables and simulated soil moisture among the four simulations are analyzed. The result shows that the discrepancy of soil moisture is mainly explained by differences in precipitation frequency and air humidity rather than differences in precipitation amount. © 2018 Author(s).
语种	英语
scopus关键词	Atmospheric humidity; Carbon; Catchments; Climate models; Digital storage; Errors; Mean square error; Soil moisture; Surface measurement; Correlation coefficient; Land surface hydrology; Meteorological variables; National center for environmental predictions; Precipitation frequency; Root mean square errors; Soil moisture dynamics; Spatial and temporal scale; Soil surveys; catchment; climate effect; climate forcing; data set; human activity; in situ measurement; land surface; precipitation (climatology); simulation; soil moisture; China; North China Plain; Yangtze Basin; Yellow River Basin
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159877
作者单位	Yin, Z., Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Gif-sur-Yvette, 91191, France; Ottlé, C., Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Gif-sur-Yvette, 91191, France; Ciais, P., Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Gif-sur-Yvette, 91191, France; Guimberteau, M., Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Gif-sur-Yvette, 91191, France, UMR 7619 METIS, Sorbonne Universités, UPMC, CNRS, EPHE, 4 place Jussieu, Paris, 75005, France; Wang, X., Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Gif-sur-Yvette, 91191, France, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China, Laboratoire de Météorologie Dynamique, UPMC/CNRS, IPSL, Paris, 75005, France; Zhu, D., Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Gif-sur-Yvette, 91191, France; Maignan, F., Laborat...
推荐引用方式 GB/T 7714	Yin Z.,Ottlé C.,Ciais P.,et al. Evaluation of ORCHIDEE-MICT-simulated soil moisture over China and impacts of different atmospheric forcing data[J],2018,22(10).
APA	Yin Z..,Ottlé C..,Ciais P..,Guimberteau M..,Wang X..,...&Kim H..(2018).Evaluation of ORCHIDEE-MICT-simulated soil moisture over China and impacts of different atmospheric forcing data.Hydrology and Earth System Sciences,22(10).
MLA	Yin Z.,et al."Evaluation of ORCHIDEE-MICT-simulated soil moisture over China and impacts of different atmospheric forcing data".Hydrology and Earth System Sciences 22.10(2018).