中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Satellite-derived aridity index reveals China's drying in recent two decades

文献类型:期刊论文

作者Yao, Ling; Lu, Jiaying; Jiang, Hou; Liu, Tang; Qin, Jun; Zhou, Chenghu
刊名ISCIENCE
出版日期2023-03-17
卷号26期号:3页码:106185
ISSN号2589-0042
DOI10.1016/j.isci.2023.106185
产权排序1
文献子类Article
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.
学科主题Science & Technology - Other Topics
WOS关键词REFERENCE EVAPOTRANSPIRATION ; SPATIOTEMPORAL VARIATION ; CLIMATE-CHANGE ; DROUGHT ; PRECIPITATION ; REGION ; DRYLANDS
WOS研究方向Science & Technology - Other Topics
出版者CELL PRESS
源URL[http://ir.igsnrr.ac.cn/handle/311030/193844]  
专题资源与环境信息系统国家重点实验室_外文论文
作者单位1.Chinese Academy of Sciences
2.Institute of Geographic Sciences & Natural Resources Research, CAS
3.Nanjing Normal University
4.University of Chinese Academy of Sciences, CAS
5.China University of Geosciences
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]. ISCIENCE,2023,26(3):106185.
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),106185.
MLA Yao, Ling,et al."Satellite-derived aridity index reveals China's drying in recent two decades".ISCIENCE 26.3(2023):106185.

入库方式: OAI收割

来源:地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。