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
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出版日期 | 2023-03-17 |
卷号 | 26期号:3页码:106185 |
ISSN号 | 2589-0042 |
DOI | 10.1016/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
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