Distribution and Attribution of Terrestrial Snow Cover Phenology Changes over the Northern Hemisphere during 2001-2020

被引:26
作者
Chen, Xiaona [1 ,2 ]
Yang, Yaping [1 ,2 ]
Ma, Yingzhao [3 ]
Li, Huan [4 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
[2] Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
[3] Colorado State Univ, Cooperat Inst Res Atmosphere, Ft Collins, CO 80523 USA
[4] Peking Univ, Sch Earth & Space Sci, Beijing 100871, Peoples R China
基金
中国国家自然科学基金;
关键词
snow cover phenology; attribution analysis; Northern Hemisphere; INTERACTIVE MULTISENSOR SNOW; ARCTIC AMPLIFICATION; TIBETAN PLATEAU; CLIMATE; TRENDS; VARIABILITY; PATTERNS; IMPACTS; RECORD; ONSET;
D O I
10.3390/rs13091843
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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.
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页数:18
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