气候变化领域集成服务门户(CCPortal): A Systematic Evaluation of Noah-MP in Simulating Land-Atmosphere Energy, Water, and Carbon Exchanges Over the Continental United States

CCPortal

DOI	10.1002/2017JD027597
	A Systematic Evaluation of Noah-MP in Simulating Land-Atmosphere Energy, Water, and Carbon Exchanges Over the Continental United States
	Ma, Ning; Niu, Guo-Yue; Xia, Youlong; Cai, Xitian; Zhang, Yinsheng; Ma, Yaoming; Fang, Yuanhao
通讯作者	Ma, N (通讯作者)
发表日期	2017
ISSN	2169-897X
EISSN	2169-8996
起始页码	12245
结束页码	12268
卷号	122 期号:22
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.
关键词	BASIN-SCALE ASSESSMENT NATIONAL CENTERS STOMATAL CONDUCTANCE MODELING SYSTEM SURFACE MODELS CLIMATE-CHANGE PREDICTION HYDROLOGY PRODUCTS MODIS
英文关键词	land surface model; gross primary productivity; energy fluxes; snow cover fraction; Noah-MP; HUC2 region
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000418084500022
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/259079
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]. 中国科学院青藏高原研究所,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).