干旱区生态环境知识资源中心(Arid): Temporal and Spatial Variations of Soil Moisture Over Xinjiang Based on Multiple GLDAS Datasets

Arid

DOI	10.3389/feart.2021.654848
	Temporal and Spatial Variations of Soil Moisture Over Xinjiang Based on Multiple GLDAS Datasets
	Hu, Zengyun; Chen, Xi; Li, Yaoming; Zhou, Qiming; Yin, Gang
通讯作者	Chen, X (corresponding author), Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Beijing, Peoples R China. ; Chen, X (corresponding author), Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi, Xinjiang, Peoples R China. ; Chen, X (corresponding author), Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China.
来源期刊	FRONTIERS IN EARTH SCIENCE
EISSN	2296-6463
出版年	2021
卷号	9
英文摘要	Under the global warming, as the typical arid region of Central Asia, the Xinjiang Uygur Autonomous Region (Xinjiang) has been experienced the remarkable warming and increased precipitation based on large previous studies. The arid and semiarid ecosystem of Xinjiang is very sensitive and vulnerable to climate change and water resource variations. However, the sparse and highly unevenly distributed in-situ stations in this region provide limited data for understanding of the soil moisture variations. In this study, the spatial and temporal changes and variations of soil moisture were explored at annual and seasonal time scales during the period of 2000-2017. The soil moisture data are from the Global Land Data Assimilation System (GLDAS) models, including four GLDAS 1 models: CLM, Mosaic, VIC and Noah 2.7 and one GLDAS 2.1 model: Noah 3.3. Major results show that 1) Noah 3.3 and VIC have the significant positive trends of annual soil moisture with the values of 2.64 degrees mm/a and 0.98 degrees mm/a. The trend of CLM is significant negative. The other two models Mosaic and Noah 2.7 have the weak positive trends. The temporal variations of seasonal soil moisutre are similar the annual soil moisture for each of the model. 2) For the spatial characteristics of the soil mositure variations, CLM displays the negative trends over large part of Xinjiang. Mosaic and VIC have the similar spatial characteristics of the linear trends. Noah 3.3 has the significant positive trends over almost Xinjiang which is different with Noah 2.7. All the five models have the positive trends over KLM. Our results have a better understanding of the soil moisture variations across Xinjiang, and they also enhance the reconginzing of the complex hydrological circulation in the arid regions.
英文关键词	linear trend soil moisture spatial and temporal variation GLDAS product Xinjiang
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000657286200001
WOS关键词	DATA SETS ; CENTRAL-ASIA ; IN-SITU ; DATA ASSIMILATION ; CLIMATE-CHANGE ; SURFACE ; MODEL ; PRECIPITATION ; SIMULATIONS ; SYSTEM
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
来源机构	中国科学院新疆生态与地理研究所 ; 新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350272
作者单位	[Hu, Zengyun; Chen, Xi; Li, Yaoming] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Beijing, Peoples R China; [Hu, Zengyun; Chen, Xi; Li, Yaoming] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi, Xinjiang, Peoples R China; [Hu, Zengyun; Chen, Xi; Li, Yaoming] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China; [Zhou, Qiming] Hong Kong Baptist Univ, Dept Geog, Kowloon, Peoples R China; [Yin, Gang] Xinjiang Univ, Coll Resource & Envrionment Sci, Urumqi, Xinjiang, Peoples R China
推荐引用方式 GB/T 7714	Hu, Zengyun,Chen, Xi,Li, Yaoming,et al. Temporal and Spatial Variations of Soil Moisture Over Xinjiang Based on Multiple GLDAS Datasets[J]. 中国科学院新疆生态与地理研究所, 新疆大学,2021,9.
APA	Hu, Zengyun,Chen, Xi,Li, Yaoming,Zhou, Qiming,&Yin, Gang.(2021).Temporal and Spatial Variations of Soil Moisture Over Xinjiang Based on Multiple GLDAS Datasets.FRONTIERS IN EARTH SCIENCE,9.
MLA	Hu, Zengyun,et al."Temporal and Spatial Variations of Soil Moisture Over Xinjiang Based on Multiple GLDAS Datasets".FRONTIERS IN EARTH SCIENCE 9(2021).