4.6 Article

Spatiotemporal Dynamics of Snowline Altitude and Their Responses to Climate Change in the Tienshan Mountains, Central Asia, during 2001-2019

Journal

SUSTAINABILITY
Volume 13, Issue 7, Pages -

Publisher

MDPI
DOI: 10.3390/su13073992

Keywords

snowline; snow hydrology; high mountain; climate change; spatiotemporal dynamics

Funding

  1. National Natural Science Foundation of China [41871058]
  2. State Key Laboratory of Cryospheric Science, Northwest Institute of EcoEnvironment and Resources, Chinese Academy Sciences [SKLCS-OP-2020-08]
  3. Foundation for Innovative Research Groups of the Natural Science Foundation of Hunan Province, China [2020JJ1003]
  4. Scientific Research Foundation of Hunan Education Department, China [20B227]

Ask authors/readers for more resources

1. The snowline altitude (SLA) in the Tianshan Mountains shows strong seasonal fluctuations, with the highest altitude in early August and the lowest in late December. 2. SLA increases with steeper slope gradients and is generally lower in the northerly aspects compared to the southerly aspects. 3. There is a general increasing trend in SLA over the Tianshan Mountains in recent years, with varying trends in different months. 4. Solar radiation is the dominant climatic factor affecting SLA changes in the Tianshan Mountains, and temperature shows a stronger correlation with SLA dynamics compared to precipitation.
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.

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