Near Real-Time Measurement of Snow Water Equivalent in the Nepal Himalayas

被引:32
|
作者
Kirkham, James D. [1 ,2 ,3 ]
Koch, Inka [1 ]
Saloranta, Tuomo M. [4 ]
Litt, Maxime [1 ,5 ]
Stigter, Emmy E. [5 ]
Moen, Knut [4 ]
Thapa, Amrit [1 ]
Melvold, Kjetil [4 ]
Immerzeel, Walter W. [5 ]
机构
[1] Int Ctr Integrated Mt Dev, Kathmandu, Nepal
[2] Univ Cambridge, Scott Polar Res Inst, Cambridge, England
[3] British Antarctic Survey, Nat Environm Res Council, Cambridge, England
[4] Norwegian Water Resources & Energy Directorate, Oslo, Norway
[5] Univ Utrecht, Dept Phys Geog, Utrecht, Netherlands
基金
欧洲研究理事会;
关键词
snow water equivalent; high altitude; Himalaya; near real time; gamma radiation; snow; SCALE SPATIAL VARIABILITY; WIND-INDUCED LOSS; CLIMATE-CHANGE; GLACIER MELT; PRECIPITATION GAUGE; RUNOFF; COVER; MODEL; DENSITY; DEPTH;
D O I
10.3389/feart.2019.00177
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Seasonal snow is an important component of the Himalayan hydrological system, but a lack of observations at high altitude hampers understanding and forecasting of water availability in this region. Here, we use a passive gamma ray sensor that measures snow water equivalent (SWE) and complementary meteorological instruments installed at 4962 m a.s.l. in the Nepal Himalayas to quantify the evolution of SWE and snow depth over a 2-year period. We assess the accuracy, spatial representativeness and the applicability of the SWE and snow depth measurements using time-lapse camera imagery and field observations. The instrument setup performs well for snowpacks >50 mm SWE, but caution must be applied when interpreting measurements from discontinuous, patchy snow cover or those that contain lenses of refrozen meltwater. Over their typical similar to 6-month lifetime, snowpacks in this setting can attain up to 200 mm SWE, of which 10-15% consists of mixed precipitation and rain-on-snow events. Precipitation gauges significantly underrepresent the solid fraction of precipitation received at this elevation by almost 40% compared to the gamma ray sensor. The application of sub-daily time-lapse camera imagery can help to correctly interpret and increase the reliability and representativeness of snowfall measurements. Our monitoring approach provides high quality, continuous, near-real time information that is essential to develop snow models in this data scarce region. We recommend that a similar instrument setup be extended into remote Himalayan environments to facilitate widespread snowpack monitoring and further our understanding of the high-altitude water cycle.
引用
收藏
页数:18
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