2000—2019年新疆积雪终日时空变化特征

doi:10.12118/j.issn.1000-6060.2021.440

Abstract

Abstract:

In this study, based on Google Earth Engine (GEE) remote sensing cloud platform, using MODIS snow product from 2000 to 2019, the diurnal snow cover cessation day information in Xinjiang, China is extracted and calculated, and the diurnal spatial and temporal variation characteristics and variation trend of snow cover cessation day in Xinjiang are analyzed by using trend analysis, coefficient of variation methods. The results show the following: (1) with the Tianshan Mountains as the dividing line, and the snow cover cessation day of the north of the Tianshan Mountains is longer than that of the south. The mountainous area is the high-value area of snow cover cessation day, and the basin is the low value area of snow cover cessation day. The snow cover cessation day in the Junggar Basin and Ili River Valley in northern Xinjiang lasts 75-114 d all year long. The Tarim Basin in southern Xinjiang is a low-value area between 0 and 31 d. The Altai Mountains, Tianshan Mountains and Kunlun Mountains belong to high value areas between 224 and 365 days. (2) There are obvious spatio-temporal differences in snow cover cessation days in southern Xinjiang and northern Xinjiang. From 2000 to 2019, the snow cover cessation day in the Junggar Basin and the high-altitude mountains in northern Xinjiang has an obvious trend of delaying, with a delay of 14 days, accounting for 8% of the total area of Xinjiang. The Tarim Basin and the areas across eastern Xinjiang showed an obvious advance advancing trend, the advance advancing rate reached 16 d, accounting for 44% of the total area of Xinjiang. Tarim Basin and Junggar Basin have opposite trend. (3) The snow cover cessation day of Xinjiang varied all year, and central Tianshan Mountains and northern Xinjiang showed instability in changes of snow cover cessation day all year long. The snow cover cessation day of central Tianshan Mountains showed overall “M”characteristics shape curve, with the annual average snow melting days showing obvious peaks and troughs during 2002—2009. Moreover, northern Xinjiang showed large interannual changes with instability during 2009—2019 and with obvious peaks and troughs as well as large interannual variability.

Key words: GEE cloud computing, snow cover cessation day, temporal and spatial distribution, change trend

Maihemutijiang WEIJIDAN,Yusufujiang RUSULI,QIU Zhongli. Temporal and spatial changes of the snow cover cessation day from 2000 to 2019 in Xinjiang, China[J].Arid Land Geography, 2022, 45(4): 1061-1070.

Figures/Tables 8

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类型	波动程度	C_v取值范围	像元数	面积比列/%
	轻微波动	0.037<C_v≤1.038	2909778	33.57
积雪终日	中度波动	1.038<C_v≤2.320	3493170	40.31
	显著波动	2.320<C_v≤4.514	2263823	26.12

Temporal and spatial changes of the snow cover cessation day from 2000 to 2019 in Xinjiang, China

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