干旱区生态环境知识资源中心(Arid): Utilization of the Google Earth Engine for the evaluation of daily soil temperature derived from Global Land Data Assimilation System in two different depths over a semiarid region

Arid

DOI	10.1002/met.2221
	Utilization of the Google Earth Engine for the evaluation of daily soil temperature derived from Global Land Data Assimilation System in two different depths over a semiarid region
	Akbari, Abolghasem; Jaghargh, Majid Rajabi; Abu Samah, Azizan; Cox, Jonathan Peter; Gholamzadeh, Mojtaba; Araghi, Alireza; Saco, Patricia M.; Khosravi, Khabat
通讯作者	Akbari, A
来源期刊	METEOROLOGICAL APPLICATIONS
ISSN	1350-4827
EISSN	1469-8080
出版年	2024
卷号	31 期号:4
英文摘要	The Google Earth Engine (GEE) was used to investigate the performance of the Global Land Data Assimilation System (GLDAS) soil temperature (ST) data against observed ST from 13 synoptic stations over a semiarid region in Iran. Three-hourly ST data were collected and analyzed in two depths (0-10 cm; 40-100 cm) and 5 years. In each depth, GLDAS-Noah ST data were evaluated for daily minimum, maximum, and average ST (i.e., Tmin, Tmax, and Tavg). Based on the correlation coefficient, Kling-Gupta Efficiency, and Nash-Sutcliffe Efficiency the overall performance of the GLDAS-Noah is 0.96, 0.66, and 0.79 for Tmin; 0.97, 0.84, and 0.89 for Tavg; and 0.95, 0.89, and 0.89 for Tmax, respectively in the first layer. Likewise, 0.97, 0.85, and 0.86 for Tmin; 0.97, 0.77, and 0.80 for Tavg; and 0.97, 0.69, and 0.69 for Tmax are obtained in the second layer. However, there is a significant negative bias which tends to underestimate ST in the two investigated layers, given by an average bias over all the stations analyzed of -24%, -12%, and -5% for Tmin, Tavg, and Tmax in the first layer, and average bias of -8%, -13%, and -17% for Tmin, Tavg, and Tmax in the second layer. This study reveals that GLDAS-Noah-derived ST can be used in arid regions where little or no observation data is available. Moreover, GEE performed as an advanced geospatial processing tool in regional scale analysis of ST in different layers. Location of the study area and synoptic stations employed for this research. image
英文关键词	GLDAS-Noah Google Earth Engine semiarid region soil temperature synoptic station
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001279162100001
WOS关键词	MODEL ; PROFILE
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404903
推荐引用方式 GB/T 7714	Akbari, Abolghasem,Jaghargh, Majid Rajabi,Abu Samah, Azizan,et al. Utilization of the Google Earth Engine for the evaluation of daily soil temperature derived from Global Land Data Assimilation System in two different depths over a semiarid region[J],2024,31(4).
APA	Akbari, Abolghasem.,Jaghargh, Majid Rajabi.,Abu Samah, Azizan.,Cox, Jonathan Peter.,Gholamzadeh, Mojtaba.,...&Khosravi, Khabat.(2024).Utilization of the Google Earth Engine for the evaluation of daily soil temperature derived from Global Land Data Assimilation System in two different depths over a semiarid region.METEOROLOGICAL APPLICATIONS,31(4).
MLA	Akbari, Abolghasem,et al."Utilization of the Google Earth Engine for the evaluation of daily soil temperature derived from Global Land Data Assimilation System in two different depths over a semiarid region".METEOROLOGICAL APPLICATIONS 31.4(2024).