Understanding the discharge regime of a glacierized alpine catchment in the Tianshan Mountains using an improved HBV-D hydrological model

Wang, Xiaoyan; Yang, Tao; Xu, Chong‐Yu; Yong, Bin; Shi, Pengfei

doi:10.1016/j.gloplacha.2018.09.017

Cited by 32 publications

(21 citation statements)

References 76 publications

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“…The model unit size depends on how many datasets were used to subdivide the catchment, on the spatial variability of these datasets and on the number of classes defined per dataset. Regarding elevation, Koboltschnig et al (2009) used, for example, 50 m elevation bands, while other studies are less clear and divided the catchment in, for instance, 10 elevation zones so that the resolution depends on the catchment elevation range (Wang et al, 2019).…”

Section: Model Catchments Model Types Scales and Aimsmentioning

confidence: 99%

Glacio‐hydrological model calibration and evaluation

et al. 2020

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Glaciers are essential for downstream water resources. Hydrological modeling is necessary for a better understanding and for future projections of the water resources in these rapidly changing systems, but modeling glacierized catchments is especially challenging. Here we review a wealth of glacio-hydrological modeling studies (145 publications) in catchments around the world. Major model challenges include a high uncertainty in the input data, mainly precipitation, due to scarce observations. Consequently, the risk of wrongly compensating input with model errors in competing snow and ice accumulation and melt process parameterization is particularly high. Modelers have used a range of calibration and validation approaches to address this issue. The review revealed that while a large part ($35%) of the reviewed studies used only streamflow data to evaluate model performances, most studies ($50%) have used additional data related to snow and glaciers to constrain model parameters. These data were employed in a variety of calibration strategies, including stepwise and multi-signal calibration. Although the primary aim of glaciohydrological modeling studies is to assess future climate change impacts, longterm changes have rarely been taken into account in model performance evaluations. Overall, a more precise description of which data are used how for model evaluation would facilitate the interpretation of the simulation results and their uncertainty, which in turn would support water resources management. Moreover, there is a need for systematic analyses of calibration approaches to disentangle what works best and why. Addressing this need will improve our system understanding and model simulations of glacierized catchments.

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Section: Model Catchments Model Types Scales and Aimsmentioning

confidence: 99%

Glacio‐hydrological model calibration and evaluation

et al. 2020

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“…The model uses rainfall, air temperature and potential evaporation as input to simulate river discharge at the basin scale. Applications of the model have shown general good results in basins with different hydrological and climatological conditions (Häggström et al 1990, Seibert 1999, Li et al 2014, Reynolds et al 2018, Wang et al 2019). The HBV model has low data requirements and low computational demands.…”

Section: Modelmentioning

confidence: 99%

Robustness of flood-model calibration using single and multiple events

Reynolds

Halldin

Seibert

et al. 2019

Hydrological Sciences Journal

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Lack of discharge data for model calibration is challenging for flood prediction in ungauged basins. Since establishment and maintenance of a permanent discharge station is resource demanding, a possible remedy could be to measure discharge only for a few events. We tested the hypothesis that a few flood-event hydrographs in a tropical basin would be sufficient to calibrate a bucket-type rainfall-runoff model, namely the HBV model, and proposed a new event-based calibration method to adequately predict floods. Parameter sets were chosen based on calibration of different scenarios of data availability, and their ability to predict floods was assessed. Compared to not having any discharge data, flood predictions improved already when one event was used for calibration. The results further suggest that two to four events for calibration may considerably improve flood predictions with regard to accuracy and uncertainty reduction, whereas adding more events beyond this resulted in small performance gains.

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“…Given the complexity and the difficulty in acquiring model parameters, the energy-mass balance model is generally limited to a single glacier using a detailed series of measured data, while the degree-day model is widely used on a larger scale due to its simplicity and strong universality. Many studies have shown that the degree-day model can achieve similar results as the energy-mass balance model at the watershed-scale (Wang et al, 2019). In addition, temperature and precipitation data for the degree-day model generally come from the surrounding meteorological stations or auto-meteorological instruments that are laid out in the glacier area, such that spatial interpolation methods with temperature lapse rates and precipitation gradients are obtained.…”

Section: Introductionmentioning

confidence: 99%

“…At present, the studies of the GMB in the Tianshan Mountains are not limited to typical glaciers (Zhang et al, 2019). To analyze the temporal and spatial distribution patterns and changes of the GMB, many researchers have tried to carry out simulations in regions where the GMB research is extremely scarce (Kronenberg et al, 2016;Wang et al, 2019). The Manas River originates from the northern slopes of the Tianshan Mountains, and its runoff plays a decisive role in agricultural development of the Shihezi reclamation regions in the lower reaches (Wang et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Simulation and construction of the glacier mass balance in the Manas River Basin, Tianshan, China from 2000 to 2016

Zhao

Zhang

et al. 2020

J. Geogr. Sci.

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The glacier mass balance (GMB) is an important link between climate and water resources and has remarkable regulatory functions in river runoff. To simulate changes of the GMB and to analyze the recharge rates of glacier meltwater to runoff in the Manas River Basin (MRB) during 2000-2016, MOD11C3, TRMM 3B43 and other multi-source remote sensing data were used to drive the degree-day model. The results showed that: (1) the accuracy of the remote sensing meteorological data can be corrected effectively by constructing the temperature and precipitation inversion models, and the characteristics of glacial climate can be finely described through downscaling. The average annual temperature was-7.57 °C and the annual precipitation was 410.71 mm in the glacier area of the MRB. The zone at an altitude of about 4200 m was a severe climate change zone, and above and below that zone, the temperature drop rates were-0.03°C/100 m and-0.57°C/100 m, respectively, while precipitation gradients were-2.66 mm/100 m and 4.89 mm/100 m, respectively. (2) The overall GMB was negative with a cumulative GMB of up to-9811.19 mm w.e. and the average annual GMB fluctuated between-464.85 and-632.19 mm w.e. Besides, the glacier melted slowly

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Understanding the discharge regime of a glacierized alpine catchment in the Tianshan Mountains using an improved HBV-D hydrological model

Cited by 32 publications

References 76 publications

Glacio‐hydrological model calibration and evaluation

Glacio‐hydrological model calibration and evaluation

Robustness of flood-model calibration using single and multiple events

Simulation and construction of the glacier mass balance in the Manas River Basin, Tianshan, China from 2000 to 2016

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