Distributed mass-balance and climate sensitivity modelling of Engabreen, Norway

Schuler, Thomas; Hock, Regine; Jackson, Miriam; Elvehøy, Hallgeir; Braun, Matthias; Brown, Ian A.; Hagen, J. M.

doi:10.3189/172756405781812998

Cited by 45 publications

(46 citation statements)

References 12 publications

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“…The ablation correction is calculated based on the sum of positive degree-days and the glacier melt rate calculated by Schuler and others (2005). Because the sum of positive degree-days is measured only at the glacier plateau and the glacier melt rate is calculated only for Engabreen, uncertainties are introduced.…”

Section: Geodetic Mass Balance and Its Uncertaintymentioning

confidence: 99%

Spatially integrated geodetic glacier mass balance and its uncertainty based on geostatistical analysis: application to the western Svartisen ice cap, Norway

Rolstad¹,

Haug²,

2009

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ABSTRACT. Estimates of glacier mass balance using geodetic methods can differ significantly from estimates using direct glaciological field-based measurements. To determine if such differences are real or methodological, there is a need to improve uncertainty estimates in both methods. In this paper, we focus on the uncertainty of geodetic methods and describe a geostatistical technique that takes into account the spatial correlation of the elevation differences when calculating spatially averaged elevation changes. We apply this method to the western Svartisen ice cap, Norway, using elevation differences from the surrounding bedrock derived from stereophotogrammetry. We show that the uncertainty is not only dependent on the standard error of the individual elevation differences but is also dependent on the size of the averaging area and the scale of the spatial correlation. To assess if the geostatistical analysis made over bedrock is applicable to glacier surfaces, we use concurrent photogrammetrical and laser scanning data from bedrock and a range of glacier surfaces to evaluate the dependency of the geostatistical analysis on the surface type. The estimated geodetic mass balance, and its uncertainty, is -2.6 AE 0.9 m w.e. for the period 1968-85, and -2.0 AE 2.2 m w.e. for 1985-2002.

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Section: Geodetic Mass Balance and Its Uncertaintymentioning

confidence: 99%

Spatially integrated geodetic glacier mass balance and its uncertainty based on geostatistical analysis: application to the western Svartisen ice cap, Norway

Rolstad¹,

Haug²,

2009

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“…We considered the neglect of rain to be most significant, especially during mild winters with frequent and prolonged periods of abovefreezing air temperatures. We compute rainfall using the precipitation routine of a distributed mass balance model which has previously been calibrated and applied to Engabreen, an outlet glacier of Svartisen (Schuler et al, 2005). Using the model parameters obtained in that study, we calculated the amount of rainfall in each grid cell containing winter mass balance measurements according to the distribution of precipitation and temperature by the mass balance model.…”

Section: Model Calibration and Validationmentioning

confidence: 99%

“…The gradient of precipitation with elevation, threshold temperature and under-catch correction are treated as model parameters that are tuned to fit available observations (e.g. Hock and Holmgren, 2005;Schuler et al, 2005;de Woul et al, 2006). This simple scheme ignores all factors other than elevation that contribute to spatial variability in precipitation.…”

Section: Introductionmentioning

confidence: 99%

Distribution of snow accumulation on the Svartisen ice cap, Norway, assessed by a model of orographic precipitation

Schuler

Crochet

Hock

et al. 2008

Hydrological Processes

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Abstract:We apply a linear model of orographic precipitation (LT model) to estimate snow accumulation on the western Svartisen ice cap (220 km 2 ) in northern Norway. This model combines 3D airflow dynamics with simple parameterizations of cloud physics. The model is forced by large-scale atmospheric input variables taken from the ECMWF Re-analysis (ERA-40) of the European Center for Medium Range Weather Forecast (ECMWF), and the model parameters are kept constant for the entire simulation period, after optimization. The domain covers a 120 ð 125 km area surrounding the ice cap. The model is run using a 1-km resolution digital elevation model, and 6-h time steps over the period from 1958 to 2002. Precipitation data from surrounding meteorological stations and winter glacier mass balance measurements on several glaciers within the region are used to evaluate the model results. Precipitation obtained from the LT model agrees well with observations from precipitation gauges and there is also fair agreement between model results and specific winter mass balance observations on the ice cap if these are corrected for winter rain. The LT model reproduces well the spatial pattern of winter accumulation across the ice cap as well as the area-averaged winter mass balances of several other glaciers in the region. This indicates that it is a useful tool in providing high-resolution, deterministic estimates of precipitation in complex terrain as required for distributed hydrological and/or glacier mass balance modelling of unmeasured areas.

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“…Therefore models including representations of a combination of temperature and short-wave radiation are commonly used (e.g. Hock, 1999;Pellicciotti, et al, 2005;Schuler et al, 2005;Möller et al, 2011). …”

Section: Introductionmentioning

confidence: 99%

Sensitivity of a distributed temperature-radiation index melt model based on AWS observations and surface energy balance fluxes, Hurd Peninsula glaciers, Livingston Island, Antarctica

Jonsell

Navarro²,

Bañón

et al. 2012

The Cryosphere

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Abstract. We use an automatic weather station and surface mass balance dataset spanning four melt seasons collected on Hurd Peninsula Glaciers, South Shetland Islands, to investigate the point surface energy balance, to determine the absolute and relative contribution of the various energy fluxes acting on the glacier surface and to estimate the sensitivity of melt to ambient temperature changes. Long-wave incoming radiation is the main energy source for melt, while short-wave radiation is the most important flux controlling the variation of both seasonal and daily mean surface energy balance. Short-wave and long-wave radiation fluxes do, in general, balance each other, resulting in a high correspondence between daily mean net radiation flux and available melt energy flux. We calibrate a distributed melt model driven by air temperature and an expression for the incoming short-wave radiation. The model is calibrated with the data from one of the melt seasons and validated with the data of the three remaining seasons. The model results deviate at most 140 mm w.e. from the corresponding observations using the glaciological method. The model is very sensitive to changes in ambient temperature: a 0.5 • C increase results in 56 % higher melt rates.

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Distributed mass-balance and climate sensitivity modelling of Engabreen, Norway

Cited by 45 publications

References 12 publications

Spatially integrated geodetic glacier mass balance and its uncertainty based on geostatistical analysis: application to the western Svartisen ice cap, Norway

Spatially integrated geodetic glacier mass balance and its uncertainty based on geostatistical analysis: application to the western Svartisen ice cap, Norway

Distribution of snow accumulation on the Svartisen ice cap, Norway, assessed by a model of orographic precipitation

Sensitivity of a distributed temperature-radiation index melt model based on AWS observations and surface energy balance fluxes, Hurd Peninsula glaciers, Livingston Island, Antarctica

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