Spatial and temporal variability of snow depth derived from passive microwave remote sensing data in Kazakhstan

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• 作者：Shamshagul Mashtayeva ; Liyun Dai ; Tao Che…
• 关键词：Key wordssnow cover ; snow depth ; remote sensing ; passive microwave ; spatial and temporal variations ; Kazakhstan
• 刊名：Journal of Meteorological Research
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：30
• 期：6
• 页码：1033-1043
• 全文大小：
• 刊物类别：Atmospheric Sciences; Meteorology; Geophysics and Environmental Physics; Atmospheric Protection/Air
• 刊物主题：Atmospheric Sciences; Meteorology; Geophysics and Environmental Physics; Atmospheric Protection/Air Quality Control/Air Pollution;
• 出版者：The Chinese Meteorological Society
• ISSN：2198-0934
• 卷排序：30

文摘

Snow cover plays an important role in the hydrological cycle and water management in Kazakhstan. However, traditional observations do not meet current needs. In this study, a snow depth retrieval equation was developed based on passive microwave remote sensing data. The average snow depth in winter (ASDW), snow cover duration (SCD), monthly maximum snow depth (MMSD), and annual average snow depth (AASD) were derived for each year to monitor the spatial and temporal snow distributions. The SCD exhibited significant spatial variations from 30 to 250 days. The longest SCD was found in the mountainous area in eastern Kazakhstan, reaching values between 200 and 250 days in 2005. The AASD increased from the south to the north and maintained latitudinal zonality. The MMSD in most areas ranged from 20 to 30 cm. The ASDW values ranged from 15 to 20 cm in the eastern region and were characterized by spatial regularity of latitudinal zonality. The ASDW in the mountainous area often exceeded 20 cm.