干旱区生态环境知识资源中心(Arid): Satellite-derived aridity index reveals China's drying in recent two decades

Arid

DOI	10.1016/j.isci.2023.106185
	Satellite-derived aridity index reveals China's drying in recent two decades
	Yao, Ling; Lu, Jiaying; Jiang, Hou; Liu, Tang; Qin, Jun; Zhou, Chenghu
通讯作者	Yao, L
来源期刊	ISCIENCE
EISSN	2589-0042
出版年	2023
卷号	26 期号:3
英文摘要	The expansion of dryland has caused a huge impact on the natural environment and human society. Aridity index (AI) can effectively reflect the degree of dry-ness, but spatiotemporally continuous estimation of AI is still challenging. In this study, we develop an ensemble learning algorithm to retrieve AIs from MODIS satellite data in China from 2003 to 2020. The validation proves the high match between these satellite AIs and their corresponding station estimates with a root-mean-square error of 0.21, bias of -0.01, and correlation coefficient of 0.87. The analysis results indicate China has been drying in recent two decades. Moreover, the North China Plain is undergoing an intense drying process, whereas the Southeastern China is becoming significantly more humid. On the na-tional scale, China's dryland area shows a slight expansion, while the hyper arid area has a decreasing trend. These understandings have contributed to China's drought assessment and mitigation.
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000995157000001
WOS关键词	REFERENCE EVAPOTRANSPIRATION ; SPATIOTEMPORAL VARIATION ; CLIMATE-CHANGE ; DROUGHT ; PRECIPITATION ; REGION ; DRYLANDS
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397075
推荐引用方式 GB/T 7714	Yao, Ling,Lu, Jiaying,Jiang, Hou,et al. Satellite-derived aridity index reveals China's drying in recent two decades[J],2023,26(3).
APA	Yao, Ling,Lu, Jiaying,Jiang, Hou,Liu, Tang,Qin, Jun,&Zhou, Chenghu.(2023).Satellite-derived aridity index reveals China's drying in recent two decades.ISCIENCE,26(3).
MLA	Yao, Ling,et al."Satellite-derived aridity index reveals China's drying in recent two decades".ISCIENCE 26.3(2023).