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A Systematic Evaluation of Noah-MP in Simulating Land-Atmosphere Energy, Water, and Carbon Exchanges Over the Continental United States
Cai, XT (Cai, Xitian)3; Zhang, YS (Zhang, Yinsheng)5,6; Niu, GY; Ma, YM (Ma, Yaoming)5,6,8; Ma, N (Ma, Ning)5,6,7,8; Niu, GY (Niu, Guo-Yue)1,7; Xia, YL (Xia, Youlong)2; Ma, N; Fang, YH (Fang, Yuanhao)4
刊名JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
2017
卷号122期号:22页码:12245-12268
关键词Research Nldas-2 Systems Data Assimilation System Basin-scale Assessment National Centers Stomatal Conductance Bsrn Measurements Modeling System Surface Models Climate Models River-basin
DOI10.1002/2017JD027597
文献子类Article
英文摘要Accurate simulation of energy, water, and carbon fluxes exchanging between the land surface and the atmosphere is beneficial for improving terrestrial ecohydrological and climate predictions. We systematically assessed the Noah land surface model (LSM) with mutiparameterization options (Noah-MP) in simulating these fluxes and associated variations in terrestrial water storage (TWS) and snow cover fraction (SCF) against various reference products over 18 United States Geological Survey two-digital hydrological unit code regions of the continental United States (CONUS). In general, Noah-MP captures better the observed seasonal and interregional variability of net radiation, SCF, and runoff than other variables. With a dynamic vegetation model, it overestimates gross primary productivity by 40% and evapotranspiration (ET) by 22% over the whole CONUS domain; however, with a prescribed climatology of leaf area index, it greatly improves ET simulation with relative bias dropping to 4%. It accurately simulates regional TWS dynamics in most regions except those with large lakes or severely affected by irrigation and/or impoundments. Incorporating the lake water storage variations into the modeled TWS variations largely reduces the TWS simulation bias more obviously over the Great Lakes with model efficiency increasing from 0.18 to 0.76. Noah-MP simulates runoff well in most regions except an obvious overestimation (underestimation) in the Rio Grande and Lower Colorado (New England). Compared with North American Land Data Assimilation System Phase 2 (NLDAS-2) LSMs, Noah-MP shows a better ability to simulate runoff and a comparable skill in simulating R-n but a worse skill in simulating ET over most regions. This study suggests that future model developments should focus on improving the representations of vegetation dynamics, lake water storage dynamics, and human activities including irrigation and impoundments.
学科主题自然地理学
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000418084500022
内容类型期刊论文
源URL[http://ir.itpcas.ac.cn/handle/131C11/7940]  
专题青藏高原研究所_图书馆
通讯作者Niu, GY; Ma, N
作者单位1.Univ Arizona, Biosphere 2, Tucson, AZ 85721 USA.
2.Natl Ctr Environm Predict, Environm Modeling Ctr, College Pk, MD USA.
3.Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA.
4.Hohai Univ, Dept Hydrol & Water Resources, Nanjing, Jiangsu, Peoples R China.
5.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing, Peoples R China.
6.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China.
7.Univ Arizona, Dept Hydrol & Atmospher Sci, Tucson, AZ 85721 USA.
8.Univ Chinese Acad Sci, Beijing, Peoples R China.
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Cai, XT ,Zhang, YS ,Niu, GY,et al. A Systematic Evaluation of Noah-MP in Simulating Land-Atmosphere Energy, Water, and Carbon Exchanges Over the Continental United States[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(22):12245-12268.
APA Cai, XT .,Zhang, YS .,Niu, GY.,Ma, YM .,Ma, N .,...&Fang, YH .(2017).A Systematic Evaluation of Noah-MP in Simulating Land-Atmosphere Energy, Water, and Carbon Exchanges Over the Continental United States.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(22),12245-12268.
MLA Cai, XT ,et al."A Systematic Evaluation of Noah-MP in Simulating Land-Atmosphere Energy, Water, and Carbon Exchanges Over the Continental United States".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.22(2017):12245-12268.
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