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DOI10.1002/2017JD027597
A Systematic Evaluation of Noah-MP in Simulating Land-Atmosphere Energy, Water, and Carbon Exchanges Over the Continental United States
Ma, Ning1,2,3,4; Niu, Guo-Yue3,5; Xia, Youlong6; Cai, Xitian7; Zhang, Yinsheng1,2; Ma, Yaoming1,2,4; Fang, Yuanhao8
2017-11-27
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2017
卷号122期号:22
文章类型Article
语种英语
国家Peoples R China; USA
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.


英文关键词land surface model gross primary productivity energy fluxes snow cover fraction Noah-MP HUC2 region
领域气候变化
收录类别SCI-E
WOS记录号WOS:000418084500022
WOS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
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/32180
专题气候变化
作者单位1.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing, Peoples R China;
2.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China;
3.Univ Arizona, Dept Hydrol & Atmospher Sci, Tucson, AZ 85721 USA;
4.Univ Chinese Acad Sci, Beijing, Peoples R China;
5.Univ Arizona, Biosphere 2, Tucson, AZ 85721 USA;
6.Natl Ctr Environm Predict, Environm Modeling Ctr, College Pk, MD USA;
7.Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA;
8.Hohai Univ, Dept Hydrol & Water Resources, Nanjing, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714
Ma, Ning,Niu, Guo-Yue,Xia, Youlong,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).
APA Ma, Ning.,Niu, Guo-Yue.,Xia, Youlong.,Cai, Xitian.,Zhang, Yinsheng.,...&Fang, Yuanhao.(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).
MLA Ma, Ning,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).
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