Abstract

Snow cover is an important water resource in arid and semi-arid regions of Central Asia, and is related to agricultural and livestock production, ecosystems, and socio-economic development. The snowline altitude (SLA) is a significant indicator for monitoring the changes in snow cover in mountainous regions under the changing climate. Here, we investigate the spatiotemporal variation of SLA in the Tienshan Mountains (TS) during 2001–2019 using Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover products on a grid-by-grid basis. The potential influence of topographic factors (slope gradient and aspect) on SLA and the correlation between SLA, temperature, precipitation, and solar radiation are also investigated. The results are as follows: (1) The annual cycle of SLA shows strong seasonal fluctuations (from about 2000 m in late December to 4100 m in early August). The SLA over the TS exhibits a large spatiotemporal heterogeneity. (2) SLA increases with a steeper slope gradient. The SLA of the northerly aspect is generally less than the southerly. (3) The SLA over the TS generally shows an increasing trend in the recent years (2001–2019). The change trend of SLA varies in different months. Except for a slight decrease in June, the SLA increased in almost all months, especially at the start of the melt season (March and April) and the end of melting season (July and August). (4) The SLA increases with increased temperature/radiation in the TS, and decreases with increased precipitation. Solar radiation is the dominant climatic factor affecting the changes of SLA in the TS. Compared with precipitation, temperature is more correlated to SLA dynamics.

Highlights

  • Snow cover is an important component of the cryosphere, as well as an indispensable variable in the study of earth system science and climate change

  • Comparison of snowline altitude (SLA) Derived from Moderate Resolution Imaging Spectroradiometer (MODIS) Fractional Snow Cover (FSC) and Landsat OLI Images

  • We believe that the MODIS-derived SLA with such accuracy in the 30 km grids can be applied to investigating the spatiotemporal patterns of SLA in the Tienshan Mountains (TS)

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Summary

Introduction

Snow cover is an important component of the cryosphere, as well as an indispensable variable in the study of earth system science and climate change. Under the background of global warming, changes in snow cover will lead to ecological and environmental problems such as a reduction of water availability, extreme weather events, and frequent disasters, profoundly affecting the ecosystem and sustainable socio-economic development of the countries and regions concerned [6,7], which has received widespread attention from these countries. As an important indicator of climate change, snowline can reflect the increase and reduction of snow, and it can comprehensively reflect the basic state of the climate and environment of mountains, plateaus, and polar regions that lack meteorological stations [13]

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