Distribution and Attribution of Terrestrial Snow Cover Phenology Changes over the Northern Hemisphere during 2001-2020
文献类型:期刊论文
作者 | Chen, Xiaona3,4; Yang, Yaping3,4; Ma, Yingzhao2; Li, Huan1 |
刊名 | REMOTE SENSING
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出版日期 | 2021-05-01 |
卷号 | 13期号:9页码:18 |
关键词 | snow cover phenology attribution analysis Northern Hemisphere |
DOI | 10.3390/rs13091843 |
英文摘要 | Snow cover phenology has exhibited dramatic changes in the past decades. However, the distribution and attribution of the hemispheric scale snow cover phenology anomalies remain unclear. Using satellite-retrieved snow cover products, ground observations, and reanalysis climate variables, this study explored the distribution and attribution of snow onset date, snow end date, and snow duration days over the Northern Hemisphere from 2001 to 2020. The latitudinal and altitudinal distributions of the 20-year averaged snow onset date, snow end date, and snow duration days are well represented by satellite-retrieved snow cover phenology matrixes. The validation results by using 850 ground snow stations demonstrated that satellite-retrieved snow cover phenology matrixes capture the spatial variability of the snow onset date, snow end date, and snow duration days at the 95% significance level during the overlapping period of 2001-2017. Moreover, a delayed snow onset date and an earlier snow end date (1.12 days decade(-1), p < 0.05) are detected over the Northern Hemisphere during 2001-2020 based on the satellite-retrieved snow cover phenology matrixes. In addition, the attribution analysis indicated that snow end date dominates snow cover phenology changes and that an increased melting season temperature is the key driving factor of snow end date anomalies over the NH during 2001-2020. These results are helpful in understanding recent snow cover change and can contribute to climate projection studies. |
WOS关键词 | INTERACTIVE MULTISENSOR SNOW ; ARCTIC AMPLIFICATION ; TIBETAN PLATEAU ; CLIMATE ; TRENDS ; VARIABILITY ; PATTERNS ; IMPACTS ; RECORD ; ONSET |
资助项目 | National Natural Science Foundation of China[42001377] ; National Earth System Science Data Sharing Infrastructure[2005DKA32300] ; comprehensive survey of biodiversity over the Mongolian Plateau[2019FY102001] |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:000650745600001 |
出版者 | MDPI |
资助机构 | National Natural Science Foundation of China ; National Earth System Science Data Sharing Infrastructure ; comprehensive survey of biodiversity over the Mongolian Plateau |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/162953] ![]() |
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.Peking Univ, Sch Earth & Space Sci, Beijing 100871, Peoples R China 2.Colorado State Univ, Cooperat Inst Res Atmosphere, Ft Collins, CO 80523 USA 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, Xiaona,Yang, Yaping,Ma, Yingzhao,et al. Distribution and Attribution of Terrestrial Snow Cover Phenology Changes over the Northern Hemisphere during 2001-2020[J]. REMOTE SENSING,2021,13(9):18. |
APA | Chen, Xiaona,Yang, Yaping,Ma, Yingzhao,&Li, Huan.(2021).Distribution and Attribution of Terrestrial Snow Cover Phenology Changes over the Northern Hemisphere during 2001-2020.REMOTE SENSING,13(9),18. |
MLA | Chen, Xiaona,et al."Distribution and Attribution of Terrestrial Snow Cover Phenology Changes over the Northern Hemisphere during 2001-2020".REMOTE SENSING 13.9(2021):18. |
入库方式: OAI收割
来源:地理科学与资源研究所
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