Snowmelt and runoff modelling of an Arctic hydrological basin in west Greenland

Bøggild, Carl Egede; Knudby, Christen; Knudsen, Martin; Starzer, W.

doi:10.1002/(sici)1099-1085(199909)13:12/13<1989::aid-hyp848>3.0.co;2-y

Cited by 31 publications

(22 citation statements)

References 8 publications

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“…It consists of routines for snow accumulation and melt, soil moisture accounting, runoff response, and finally a routing procedure. The model is based on a sound scientific foundation and can meet its data demands in most areas, which has the scope of applications in more than 40 countries (Ashagrie et al 2006;Bergstrom et al 2001;Boggild et al 1999;Hagg et al 2004;Love et al 2010;Sorman et al 2009;van den Hurk et al 2002;Wohling et al 2006;Yu and Wang 2009 utilized as large scale predictors to calibrate and verify the model. In the process of building SSVM model to predict the precipitation, the 30 years' data from 1962 to 1991 is used for calibration, and the data from 1992 to 1999 is used for validation; while to the evaporation, the data from 1971 to 1995 is used for calibration and from 1996 to 1999 for validation.…”

Section: Hbv Modelmentioning

confidence: 99%

Impacts of climate change on the Qingjiang Watershed’s runoff change trend in China

Chen

Xiang

Xing

et al. 2011

Stoch Environ Res Risk Assess

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Qingjiang River, the second largest tributary of the Yangtze River in Hubei Province, has taken on the important tasks for power generation and flood control in Hubei Province. The Qingjiang River watershed has a subtropical monsoon climate and, as a result, has dramatic diversity in its water resources. Recently, global warming and climate change have seriously affected the Qingjiang watershed's integrated water resources management. In this article, general circulation model (GCM) and watershed hydrological models were applied to analyze the impacts of climate change on future runoff of Qingjiang Watershed. To couple the scale difference between GCM and watershed hydrological models, a statistical downscaling method based on the smooth support vector machine was used to downscale the GCM's large-scale output. With the downscaled precipitation and evaporation, the Xin-anjiang hydrological model and HBV model were applied to predict the future runoff of Qingjiang Watershed under A2 and B2 scenarios. The preformance of the one-way coupling approach in simulating the hydrological impact of climate change in the Qingjiang watershed is evaluated, and the change trend of the future runoff of Qingjiang Watershed under the impacts of climate change is presented and discussed.

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Section: Hbv Modelmentioning

confidence: 99%

Impacts of climate change on the Qingjiang Watershed’s runoff change trend in China

Chen

Xiang

Xing

et al. 2011

Stoch Environ Res Risk Assess

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“…Most operational runoff models, e.g. HBV-model (Bergström, 1976), SRM-model (Martinec and Rango, 1986), UBC-model (Quick and Pipes, 1977), HYMET-model (Tangborn, 1984) and even versions of the physically based SHE-model (Bøggild et al, 1999) rely on temperature-index methods for melt modelling. Temperature index models also provide the mass balance forcing for most ice dynamic models (e.g.…”

Section: Introductionmentioning

confidence: 99%

Temperature index melt modelling in mountain areas

Hock

2003

Journal of Hydrology

1,281

1,196

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Temperature index or degree-day models rest upon a claimed relationship between snow or ice melt and air temperature usually expressed in the form of positive temperatures. Since air temperature generally is the most readily available data, such models have been the most widely used method of ice and snow melt computations for many purposes, such as hydrological modelling, ice dynamic modelling or climate sensitivity studies. Despite their simplicity, temperature-index models have proven to be powerful tools for melt modelling, often on a catchment scale outperforming energy balance models. However, two shortcomings are evident: (1) although working well over long time periods their accuracy decreases with increasing temporal resolution; (2) spatial variability cannot be modelled accurately as melt rates may vary substantially due to topographic effects such as shading, slope and aspect angles. These effects are particularly crucial in mountain areas. This paper provides an overview of temperature-index methods, including glacier environments, and discusses recent advances on distributed approaches attempting to account for topographic effects in complex terrain, while retaining scarcity of data input. In the light of an increasing demand for melt estimates with high spatial and temporal resolution, such approaches need further refinement and development. q

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“…Many of these conceptual models use a temperature index approach to model snowmelt and snow accumulation and even in some physically based models as e.g. versions of the SHE model (European Hydrological System; Bøggild et al, 1999) this method can be found. This approach has the advantage of being quite simple since it uses only temperature as input to determine whether precipitation occurs in the form of snow or rain and whether snow can be melted or not.…”

Section: Introductionmentioning

confidence: 99%

A conceptual, distributed snow redistribution model

Frey

Holzmann

2015

Hydrol. Earth Syst. Sci.

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Abstract. When applying conceptual hydrological models using a temperature index approach for snowmelt to high alpine areas often accumulation of snow during several years can be observed. Some of the reasons why these "snow towers" do not exist in nature are vertical and lateral transport processes. While snow transport models have been developed using grid cell sizes of tens to hundreds of square metres and have been applied in several catchments, no model exists using coarser cell sizes of 1 km 2 , which is a common resolution for meso-and large-scale hydrologic modelling (hundreds to thousands of square kilometres). In this paper we present an approach that uses only gravity and snow density as a proxy for the age of the snow cover and land-use information to redistribute snow in alpine basins. The results are based on the hydrological modelling of the Austrian Inn Basin in Tyrol, Austria, more specifically the Ötztaler Ache catchment, but the findings hold for other tributaries of the river Inn. This transport model is implemented in the distributed rainfall-runoff model COSERO (Continuous Semidistributed Runoff). The results of both model concepts with and without consideration of lateral snow redistribution are compared against observed discharge and snow-covered areas derived from MODIS satellite images. By means of the snow redistribution concept, snow accumulation over several years can be prevented and the snow depletion curve compared with MODIS (Moderate Resolution Imaging Spectroradiometer) data could be improved, too. In a 7-year period the standard model would lead to snow accumulation of approximately 2900 mm SWE (snow water equivalent) in high elevated regions whereas the updated version of the model does not show accumulation and does also predict discharge with more accuracy leading to a Kling-Gupta efficiency of 0.93 instead of 0.9. A further improvement can be shown in the comparison of MODIS snow cover data and the calculated depletion curve, where the redistribution model increased the efficiency (R 2 ) from 0.70 to 0.78 (calibration) and from 0.66 to 0.74 (validation).

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Snowmelt and runoff modelling of an Arctic hydrological basin in west Greenland

Cited by 31 publications

References 8 publications

Impacts of climate change on the Qingjiang Watershed’s runoff change trend in China

Impacts of climate change on the Qingjiang Watershed’s runoff change trend in China

Temperature index melt modelling in mountain areas

A conceptual, distributed snow redistribution model

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