中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Future variation of land surface temperature in the Yangtze River Basin based on CMIP6 model

文献类型:期刊论文

作者Liu, Jinlian; Tang, Hanya; Yan, Fengqin; Liu, Shiwei; Tang, Xuguang; Ding, Zhi; Yu, Pujia
刊名INTERNATIONAL JOURNAL OF DIGITAL EARTH
出版日期2023-12-31
卷号16期号:1页码:2776-2796
ISSN号1753-8947
关键词Temporal and spatial changes Delta downscaling Random forest Global warming >
DOI10.1080/17538947.2023.2239777
产权排序2
文献子类Article
英文摘要In recent years, past changes in global and regional land surface temperatures (LST) have been well studied, however, future LST changes have been largely ignored owing to data limitations. In this study, three climate variables of CMIP6, namely air temperature (AT), precipitation (Pre), and leaf area index (LAI), were spatially corrected using the Delta downscaling method. On this basis, by combining MODIS LST, elevation, slope and aspect, a random forest (RF) model was built to calculate the LST from 2022 to 2100. The absolute variability (AV) and Mann-Kendall (M-K) tests were used to quantitatively detect interannual and seasonal LST changes in different Shared Socioeconomic Pathways (SSPs) scenarios. The results showed that the AV value increased successively from SSP1-2.6 to SSP2-4.5 and then to SSP5-8.5. Compared with the base period (2003-2021), the increment in interannual, spring, summer and autumn LST during 2022-2100 was mainly between 1 and 2 & DEG;C under three scenarios. The interannual and seasonal LST were spatially characterized by significant warming over large areas, and the increasing was the fastest under SSP5-8.5. These results indicate that, in the future, LST will increase further over large areas, especially in winter.
WOS关键词TIBETAN PLATEAU ; LOESS PLATEAU ; CHINA ; PRECIPITATION ; PROJECTION ; INDEX
WOS研究方向Physical Geography ; Remote Sensing
语种英语
出版者TAYLOR & FRANCIS LTD
WOS记录号WOS:001033755100001
源URL[http://ir.igsnrr.ac.cn/handle/311030/194492]  
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.Southwest University - China
2.Institute of Geographic Sciences & Natural Resources Research, CAS
3.Chinese Academy of Sciences
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GB/T 7714
Liu, Jinlian,Tang, Hanya,Yan, Fengqin,et al. Future variation of land surface temperature in the Yangtze River Basin based on CMIP6 model[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2023,16(1):2776-2796.
APA Liu, Jinlian.,Tang, Hanya.,Yan, Fengqin.,Liu, Shiwei.,Tang, Xuguang.,...&Yu, Pujia.(2023).Future variation of land surface temperature in the Yangtze River Basin based on CMIP6 model.INTERNATIONAL JOURNAL OF DIGITAL EARTH,16(1),2776-2796.
MLA Liu, Jinlian,et al."Future variation of land surface temperature in the Yangtze River Basin based on CMIP6 model".INTERNATIONAL JOURNAL OF DIGITAL EARTH 16.1(2023):2776-2796.

入库方式: OAI收割

来源:地理科学与资源研究所

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