Identifying Changing Snow Cover Characteristics in Central Asia between 1986 and 2014 from Remote Sensing Data

Remote Sensing

Christopher Conrad¹  Gerhard Gesell²  Claudia Kuenzer²  Andreas J. Dietz²  Stefan Dech² 

[1] Department of Remote Sensing, Institute of Geography, University of Wuerzburg,97074 Wuerzburg, Germany;German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Muenchener Straße 20, 82234 Wessling, Germany;

关键词: Central Asia;    snow;    snow cover;    MODIS;    AVHRR;    snow cover duration;    climate change;    Pamir;    Tian Shan;    Amu Darya;    Syr Darya;   

DOI  :  10.3390/rs61212752

来源: DOAJ

【 摘 要 】

Central Asia consists of the five former Soviet States Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan, therefore comprising an area of ~4 Mio km2. The continental climate is characterized by hot and dry summer months and cold winter seasons with most precipitation occurring as snowfall. Accordingly, freshwater supply is strongly depending on the amount of accumulated snow as well as the moment of its release after snowmelt. The aim of the presented study is to identify possible changes in snow cover characteristics, consisting of snow cover duration, onset and offset of snow cover season within the last 28 years. Relying on remotely sensed data originating from medium resolution imagers, these snow cover characteristics are extracted on a daily basis. The resolution of 500–1000 m allows for a subsequent analysis of changes on the scale of hydrological sub-catchments. Long-term changes are identified from this unique dataset, revealing an ongoing shift towards earlier snowmelt within the Central Asian Mountains. This shift can be observed in most upstream hydro catchments within Pamir and Tian Shan Mountains and it leads to a potential change of freshwater availability in the downstream regions, exerting additional pressure on the already tensed situation.

【 授权许可】

Unknown