Snow-cover variability in central Asia between 2000 and 2011 derived from improved MODIS daily snow-cover products |
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| Authors: | Andreas Juergen Dietz Claudia Kuenzer Christopher Conrad |
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| Affiliation: | 1. German Remote Sensing Data Center (DFD), German Aerospace Center (DLR) , Wessling , Germany andreas.dietz@dlr.de;3. German Remote Sensing Data Center (DFD), German Aerospace Center (DLR) , Wessling , Germany;4. Department of Remote Sensing , Institute of Geography, University of Wuerzburg , Wuerzburg , Germany |
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| Abstract: | In this study, the daily snow-cover time series has been analysed for the whole of central Asia after cloud coverage was removed. Snow-cover duration (SCD), snow-cover start (SCS), and snow-cover melt (SCM) have been derived for each hydrological year from 2000/2001 to 2010/2011 and mean conditions were extracted that identify a distinct north–south gradient of these parameters. The snow-cover index (SCI), which depicts a moderate variability with maximum deviations of ～20%, has been included for major hydrological catchments. The hydrological year 2001/2002 stands out due to minimum SCD caused by late SCS and early SCM while 2002/2003 constitutes maximum SCD initiated by late SCM. Although the time series of 11 years of data is too short to calculate possible trends of snow-cover characteristics, the results can be used to describe the average snow-cover conditions and compare single years against these values. Large divergences can indicate deficits or excesses of snow, which may lead to abnormal run-off situations, including natural disasters such as floods, landslides, or droughts. The latter, especially, can have severe negative economic impacts in a region. |
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