Inclusion of glacier processes for distributed hydrological modeling at basin scale with application to a watershed in Tianshan Mountains, northwest China

Luo, Yiqi; Arnold, J. G.; Liu, Shiyin; Wang, Xiuying; Chen, Xi

doi:10.1016/j.jhydrol.2012.11.005

Cited by 124 publications

(121 citation statements)

References 53 publications

(67 reference statements)

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“…The contributions of meltwater to runoff reached a peak of over 50% at the glacier-dominated Tarim Basin of South Xinjiang [13,51]. About 25-48% [18,19] or 18-28% [52] of annual runoff at catchments fed by snow and glacier meltwater in the Tienshan Mountains was contributed to by meltwater. In the Altay Mountains of northern Xinjiang, most catchments were covered by snow; therefore, snowmelt in the spring accounted for 21% of annual runoff [53].…”

Section: The Effects Of Snow and Glacier Meltwater On Runoffmentioning

confidence: 99%

Snowmelt Water Alters the Regime of Runoff in the Arid Region of Northwest China

Bai

Shi³

et al. 2018

Water

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Seasonal snowmelt water from mountainous areas is critical for water supply in arid regions. Snowmelt profoundly affects the parameterization of the Budyko framework, which describes the long-term relationship between precipitation and runoff. This is true in Xinjiang, a representative arid region in Northwest China. However, the effects of snowmelt water on the water balance in this region remain unclear. Based on observed runoff data in 64 catchments of Xinjiang during 2000-2010, we analyzed the effects of meltwater in the local water balance both spatially and temporally through the Budyko curve and redundancy analysis (RDA) methods, and then investigated the influences of changing meltwater on runoff. Inclusion of snowmelt water into the item of the water availability significantly improved the performance of the Budyko equation for predicting runoff. The results of RDA showed that snowmelt water, potential evaporation (PET), and rainfall combined explained 66% of the spatial variations in runoff, while the individual effects of snowmelt water, PET, and rainfall were 19%, 13%, and 1%, respectively, with the interactions among the three variables being 16%. These results suggest that the accelerating changes of meltwater due to climate warming will significantly alter the regimes of runoff in these regions.

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Section: The Effects Of Snow and Glacier Meltwater On Runoffmentioning

confidence: 99%

Snowmelt Water Alters the Regime of Runoff in the Arid Region of Northwest China

Bai

Shi³

et al. 2018

Water

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“…However, glacier processes are not presently available. Luo et al (2013) developed a glacier hydrology module and incorporated it into the code of SWAT 2005 to simulate glacier hydrology in alpine catchments.…”

Section: The Glacier-enhanced Swat Modelmentioning

confidence: 99%

“…The runoff generated from glacier melt is routed through the tributaries and channel to the catchment outlet. Detailed description to the glacier-enhanced model can be found in Luo et al (2013). However, there is a lack that an increase in number of glaciers due to disintegration of large compound valley glaciers into a number of simple valley and cirque glaciers is not considered in this simulation.…”

Section: The Glacier-enhanced Swat Modelmentioning

confidence: 99%

“…The degree-day factor for snow/ice melt is calculated by a sinusoidal function to represent its seasonal change pattern with maximum and minimum values occurring on summer and winter solstices (Neitsch et al, 2005;Luo et al, 2013). The ranges of the glacier melt degree-day factors were determined according to the mention by Li et al (2012).…”

Section: Model Parameterization and Calibration Proceduresmentioning

confidence: 99%

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Effects of projected climate change on the glacier and runoff generation in the Naryn River Basin, Central Asia

Gan

Luo

Zuo

et al. 2015

Journal of Hydrology

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104

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Keywords:SWAT model Latest ensemble of climate models Climate change Glacier Hydrology s u m m a r y Climate change is a major environmental concern and the melting processes of the glaciers and snowpacks are sensitive to climate change. The ultimate effect of the future changes on the glacier and hydrology is unclear and poorly investigated for Central Asia. Here, we use results from the latest ensemble of climate models in combination with a glacier-enhanced Soil Water Assessment Tool (SWAT) hydrologic model to assess the hydrological impact of climate change in the Naryn River Basin, Central Asia. Results indicate that small glaciers suffer from larger relative area losses than large glaciers. Only 8% of the originally glaciated area for small glaciers will retain glaciers by 2100 for RCP8.5. The rate of area retreat for small glaciers (with an area <1 km 2 ) will slow down for the period 2066-2095, while the glacier area shrinkage is projected to accelerate for large glaciers throughout the twenty-first century. In all cases, glaciers will recede but net glacier melt runoff will reach peak in about 2040. Decreases in future runoff are projected in combination with a negative change in precipitation, snowmelt and higher evapotranspiration. Glacier melt is mainly derived by future temperature changes, while the runoff and snowmelt component are determined by future precipitation. The timing of peak runoff is advancing about one month as a result of earlier snowmelt due to the warming temperature. Runoff is projected to increase during the spring and decrease for the summer season for the future periods. Thus water availability on the time will likely undergo significant changes.

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“…Most commonly, runoff is used for calibrating DDF S (Hinzman and Kane, 1991;Klok et al, 2001;Luo et al, 2013). The drawback is that catchment runoff is not usually a good indicator of the spatial snow cover distribution (Blöschl et al, 1991a, b;Bach et al, 2003;Liu et al, 2012 etc.).…”

Section: Z H He Et Al: Estimating Degree-day Factors From Modis Fomentioning

confidence: 99%

Estimating degree-day factors from MODIS for snowmelt runoff modeling

Parajka

Tian

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract. Degree-day factors are widely used to estimate snowmelt runoff in operational hydrological models. Usually, they are calibrated on observed runoff, and sometimes on satellite snow cover data. In this paper, we propose a new method for estimating the snowmelt degree-day factor (DDF S ) directly from MODIS snow covered area (SCA) and ground-based snow depth data without calibration. Subcatchment snow volume is estimated by combining SCA and snow depths. Snow density is estimated to be the ratio between observed precipitation and changes in the snow volume for days with snow accumulation. Finally, DDF S values are estimated to be the ratio between changes in the snow water equivalent and difference between the daily temperature and the melt threshold value for days with snow melt. We compare simulations of basin runoff and snow cover patterns using spatially variable DDF S estimated from snow data with those using spatially uniform DDF S calibrated on runoff. The runoff performances using estimated DDF S are slightly improved, and the simulated snow cover patterns are significantly more plausible. The new method may help reduce some of the runoff model parameter uncertainty by reducing the total number of calibration parameters. This method is applied to the Lienz catchment in East Tyrol, Austria, which covers an area of 1198 km 2 . Approximately 70 % of the basin is covered by snow in the early spring season.

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Inclusion of glacier processes for distributed hydrological modeling at basin scale with application to a watershed in Tianshan Mountains, northwest China

Cited by 124 publications

References 53 publications

Snowmelt Water Alters the Regime of Runoff in the Arid Region of Northwest China

Snowmelt Water Alters the Regime of Runoff in the Arid Region of Northwest China

Effects of projected climate change on the glacier and runoff generation in the Naryn River Basin, Central Asia

Estimating degree-day factors from MODIS for snowmelt runoff modeling

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