Abstract
Abstract. In a context of climate change and water demand growth, understanding the origin of water flows in the Himalayas is a key issue for assessing the current and future water resource availability and planning the future uses of water in downstream regions. Two of the main issues in the hydrology of high-altitude glacierized catchments are (i) the limited representation of cryospheric processes controlling the evolution of ice and snow in distributed hydrological models and (ii) the difficulty in defining and quantifying the hydrological contributions to the river outflow. This study estimates the relative contribution of rainfall, glaciers, and snowmelt to the Khumbu River streamflow (Upper Dudh Koshi, Nepal, 146 km2, 43 % glacierized, elevation range from 4260 to 8848 m a.s.l.) as well as the seasonal, daily, and sub-daily variability during the period 2012–2015 by using the DHSVM-GDM (Distributed Hydrological Soil Vegetation Model – Glaciers Dynamics Model) physically based glacio-hydrological model. The impact of different snow and glacier parameterizations was tested by modifying the snow albedo parameterization, adding an avalanche module, adding a reduction factor for the melt of debris-covered glaciers, and adding a conceptual englacial storage. The representation of snow, glacier, and hydrological processes was evaluated using three types of data (MODIS satellite images, glacier mass balances, and in situ discharge measurements). The relative flow components were estimated using two different definitions based on the water inputs and contributing areas. The simulated hydrological contributions differ not only depending on the used models and implemented processes, but also on different definitions of the estimated flow components. In the presented case study, ice melt and snowmelt contribute each more than 40 % to the annual water inputs and 69 % of the annual stream flow originates from glacierized areas. The analysis of the seasonal contributions highlights that ice melt and snowmelt as well as rain contribute to monsoon flows in similar proportions and that winter outflow is mainly controlled by the release from the englacial water storage. The choice of a given parametrization for snow and glacier processes, as well as their relative parameter values, has a significant impact on the simulated water balance: for instance, the different tested parameterizations led to ice melt contributions ranging from 42 % to 54 %. The sensitivity of the model to the glacier inventory was also tested, demonstrating that the uncertainty related to the glacierized surface leads to an uncertainty of 20 % for the simulated ice melt component.
Highlights
The Himalayan mountain range is known for being the water tower of Central and South Asia (Immerzeel et al, 2010)
We find that the outflow is mainly produced by meltwater as 46 % of the annual water input is due to ice melt and 41 % to snowmelt
Concerning the seasonal contributions to the outflow, our results are consistent with the results from Soncini et al (2016), who found a main contribution of snowmelt during the pre-monsoon season, mixed contributions of rainfall, snowmelt, and ice melt during the monsoon season, and mixed contributions of snowmelt and ice melt during the post-monsoon and winter seasons
Summary
The Himalayan mountain range is known for being the water tower of Central and South Asia (Immerzeel et al, 2010). Changes in glacier and snow cover runoff are likely to have a significant impact on the hydrological regime (Akhtar et al, 2008; Immerzeel et al, 2012; Lutz et al, 2014; Nepal, 2016). Understanding the past and present hydrological regimes, and more estimating the seasonal contributions of ice melt, snowmelt, and rainfall to outflows, is a key issue for managing water resources within the decades. Knowing the fraction of snowmelt, ice melt, and rainfall to the river outflow, and understanding their hydrological pathways, can give insights into how much water is currently seasonally delayed and how the seasonal outflow and the overall water balance might be impacted in the future when this delay changes or if the ratio of snowfall to rainfall changes (Berghuijs et al, 2014)
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