气候变化领域集成服务门户(CCPortal): Improving land surface temperature modeling for dry land of China

CCPortal

DOI	10.1029/2011JD015921
	Improving land surface temperature modeling for dry land of China
	Chen, Yingying; Yang, Kun; He, Jie; Qin, Jun; Shi, Jiancheng; Du, Jinyang; He, Qing
通讯作者	Chen, YY (通讯作者)
发表日期	2011
ISSN	2169-897X
EISSN	2169-8996
卷号	116
英文摘要	The parameterization of thermal roughness length z(0h) plays a key role in land surface modeling. Previous studies have found that the daytime land surface temperature (LST) on dry land (arid and semiarid regions) is commonly underestimated by land surface models (LSMs). This paper presents two improvements of Noah land surface modeling for China's dry-land areas. The first improvement is the replacement of the model's z(0h) scheme with a new one. A previous study has validated the revised Noah model at several dry-land stations, and this study tests the revised model's performance on a regional scale. Both the original Noah and the revised one are driven by the Global Land Data Assimilation System (GLDAS) forcing data. The comparison between the simulations and the daytime Moderate Resolution Imaging Spectroradiometer-(MODIS-) Aqua LST products indicates that the original LSM produces a mean bias in the early afternoon (around 1330, local solar time) of about -6 K, and this revision reduces the mean bias by 3 K. Second, the mean bias in early afternoon is further reduced by more than 2 K when a newly developed forcing data set for China (Institute of Tibetan Plateau Research, Chinese Academy of Sciences (ITPCAS) forcing data) is used to drive the revised model. A similar reduction is also found when the original Noah model is driven by the new data set. Finally, the original Noah model, when driven by the new forcing data, performs satisfactorily in reproducing the LST for forest, shrubland and cropland. It may be sensible to select the z(0h) scheme according to the vegetation type present on the land surface for practical applications of the Noah LSM.
关键词	ROUGHNESS HEIGHT PRACTICAL NOTES YELLOW-RIVER LAST HALF PARAMETERIZATION PREDICTION WEATHER HEAT IMPLEMENTATION VARIABILITY
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000296160100001
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/257916
推荐引用方式 GB/T 7714	Chen, Yingying,Yang, Kun,He, Jie,et al. Improving land surface temperature modeling for dry land of China[J]. 中国科学院青藏高原研究所,2011,116.
APA	Chen, Yingying.,Yang, Kun.,He, Jie.,Qin, Jun.,Shi, Jiancheng.,...&He, Qing.(2011).Improving land surface temperature modeling for dry land of China.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,116.
MLA	Chen, Yingying,et al."Improving land surface temperature modeling for dry land of China".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 116(2011).