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DOI10.1002/2015JD023129
Multicriteria evaluation of discharge simulation in Dynamic Global Vegetation Models
Yang, Hui; Piao, Shilong; Zeng, Zhenzhong; Ciais, Philippe; Yin, Yi; Friedlingstein, Pierre; Sitch, Stephen; Ahlstrom, Anders; Guimberteau, Matthieu; Huntingford, Chris; Levis, Sam; Levy, Peter E.; Huang, Mengtian; Li, Yue; Li, Xiran; Lomas, Mark R.; Peylin, Philippe; Poulter, Ben; Viovy, Nicolas; Zaehle, Soenke; Zeng, Ning; Zhao, Fang; Wang, Lei
通讯作者Piao, SL (通讯作者)
发表日期2015
ISSN2169-897X
EISSN2169-8996
起始页码7488
结束页码7505
卷号120期号:15
英文摘要In this study, we assessed the performance of discharge simulations by coupling the runoff from seven Dynamic Global Vegetation Models (DGVMs; LPJ, ORCHIDEE, Sheffield-DGVM, TRIFFID, LPJ-GUESS, CLM4CN, and OCN) to one river routing model for 16 large river basins. The results show that the seasonal cycle of river discharge is generally modeled well in the low and middle latitudes but not in the high latitudes, where the peak discharge (due to snow and ice melting) is underestimated. For the annual mean discharge, the DGVMs chained with the routing model show an underestimation. Furthermore, the 30year trend of discharge is also underestimated. For the interannual variability of discharge, a skill score based on overlapping of probability density functions (PDFs) suggests that most models correctly reproduce the observed variability (correlation coefficient higher than 0.5; i.e., models account for 50% of observed interannual variability) except for the Lena, Yenisei, Yukon, and the Congo river basins. In addition, we compared the simulated runoff from different simulations where models were forced with either fixed or varying land use. This suggests that both seasonal and annual mean runoff has been little affected by land use change but that the trend itself of runoff is sensitive to land use change. None of the models when considered individually show significantly better performances than any other and in all basins. This suggests that based on current modeling capability, a regional-weighted average of multimodel ensemble projections might be appropriate to reduce the bias in future projection of global river discharge.
关键词LAND-SURFACE MODELCLIMATE-CHANGERIVER DISCHARGEWATER AVAILABILITYPLANT GEOGRAPHYCARBONRUNOFFHYDROLOGYINCREASEIMPACTS
英文关键词river discharge; model evaluation; land use change; climate change impacts
语种英语
WOS研究方向Meteorology & Atmospheric Sciences
WOS类目Meteorology & Atmospheric Sciences
WOS记录号WOS:000360501900012
来源期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
来源机构中国科学院青藏高原研究所
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/258616
推荐引用方式
GB/T 7714
Yang, Hui,Piao, Shilong,Zeng, Zhenzhong,et al. Multicriteria evaluation of discharge simulation in Dynamic Global Vegetation Models[J]. 中国科学院青藏高原研究所,2015,120(15).
APA Yang, Hui.,Piao, Shilong.,Zeng, Zhenzhong.,Ciais, Philippe.,Yin, Yi.,...&Wang, Lei.(2015).Multicriteria evaluation of discharge simulation in Dynamic Global Vegetation Models.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,120(15).
MLA Yang, Hui,et al."Multicriteria evaluation of discharge simulation in Dynamic Global Vegetation Models".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 120.15(2015).
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