气候变化领域集成服务门户(CCPortal): Validation of the global land data assimilation system based on measurements of soil temperature profiles

CCPortal

DOI	10.1016/j.agrformet.2016.01.003
	Validation of the global land data assimilation system based on measurements of soil temperature profiles
	Wang, Lei; Li, Xiuping; Chen, Yingying; Yang, Kun; Chen, Deliang; Zhou, Jing; Liu, Wenbin; Qi, Jia; Huang, Jianbin
通讯作者	Wang, L ; Li, XP (通讯作者)
发表日期	2016
ISSN	0168-1923
EISSN	1873-2240
起始页码	288
结束页码	297
卷号	218
英文摘要	Soil temperature is a key parameter in the soil-vegetation-atmosphere system. It plays an important role in the land surface water and energy cycles, and has a major influence on vegetation growth and other hydrological aspects. We evaluated the accuracy of the soil temperature profiles from the Global Land Data Assimilation System (GLDAS) using nine observational networks across the world and aimed to find a reliable global soil temperature profile dataset for future hydrological and ecological studies. In general, the soil temperature profile data generated by the Noah model driven by the GLDAS forcing data (GLDAS_Noah10 and GLDAS_Noah10_v2) were found to have high skills in terms of daily, monthly, and mean seasonal variations, indicated by smaller bias and root-mean-square-error (RMSE) (both <3 degrees C) and correlation coefficients larger than 0.90. Conversely, the Community Land Model (CLM) results (GLDAS_CLM10) generally showed larger bias and RMSE (both >4 degrees C). Further analysis showed that the overestimation by GLDAS_CLM10 was mainly caused by overestimation of the ground heat flux, determined by the thermal conductivity parameterization scheme, whereas the underestimation by GLDAS_Noah10 was due to underestimation of downward longwave radiation from the forcing data. Thus, more accurate forcing data should be required for the Noah model and an improved thermal parameterization scheme should be developed for the CLM. These approaches will improve the accuracy of simulated soil temperatures. To our knowledge, it is the first study to evaluate the GLDAS soil temperatures with comprehensive in situ observations across the world, and has a potential to facilitate an overall improvement of the GLDAS products (not only soil temperatures but also the related energy and water fluxes) as well as a refinement of the land surface parameterization used in GLDAS. (C) 2016 Elsevier B.V. All rights reserved.
关键词	SURFACE MODEL ETA-MODEL CARBON-DIOXIDE SATELLITE MOISTURE WATER WEATHER HETEROGENEITY DEPENDENCE BOUNDARY
英文关键词	Soil temperature profile; GLDAS; Noah land surface model; Community land model; In situ measurements
语种	英语
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
WOS类目	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000370905100028
来源期刊	AGRICULTURAL AND FOREST METEOROLOGY
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/258730
推荐引用方式 GB/T 7714	Wang, Lei,Li, Xiuping,Chen, Yingying,et al. Validation of the global land data assimilation system based on measurements of soil temperature profiles[J]. 中国科学院青藏高原研究所,2016,218.
APA	Wang, Lei.,Li, Xiuping.,Chen, Yingying.,Yang, Kun.,Chen, Deliang.,...&Huang, Jianbin.(2016).Validation of the global land data assimilation system based on measurements of soil temperature profiles.AGRICULTURAL AND FOREST METEOROLOGY,218.
MLA	Wang, Lei,et al."Validation of the global land data assimilation system based on measurements of soil temperature profiles".AGRICULTURAL AND FOREST METEOROLOGY 218(2016).