A DEM of the 2010 surface topography of Storglaciären, Sweden

Mercer, Andrew

doi:10.1080/17445647.2015.1131754

Cited by 3 publications

(5 citation statements)

References 27 publications

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“…Meanwhile, topographic data are obtained through one-time acquisition, and is often readily available from previous work or through remote-sensing products (e.g. Mercer, 2016; Morin and others, 2016). With terrain as the primary forcing, the snow transport model is less reliant on high-resolution input data, and sparse weather station data or downscaling routines can be used more confidently.…”

Section: Discussionmentioning

confidence: 99%

“…Coverage of the probing network is near glacier wide, but certain areas were occasionally left un-sampled due to overhead hazards or crevasses. All snow-mass present on the glacier is included, regardless of suspected origin (Mercer, 2016). The accuracy of measured values is evaluated critically in Jansson (1999) at a precision of 0.1 m w.e.…”

Section: Datamentioning

confidence: 99%

“…We use a DEM of the entire Tarfala valley and Kebnekaise massif, digitised at a 15 m × 15 m grid resolution from a topographic map (Holmlund and Schytt, 1987). Within this grid, we aligned and concatenated a more recent 10 m × 10 m DEM based on GNSS surveying (Mercer, 2016), which covers the more limited spatial extent of the surface of Storglaciären itself. The resulting grid allows for detailed modelling and has sufficient spatial extent to consider reasonable ranges of snow transport.…”

Section: Digital Elevation Modelmentioning

confidence: 99%

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Spatial variability in winter mass balance on Storglaciären modelled with a terrain-based approach

2022

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Although most processes governing the surface mass balance on mountain glaciers are well understood, the causes and extent of spatial variability in accumulation remain poorly constrained. In the present study, we couple an energy balance–snow and firn mass-balance model to terrain-based modelling routines estimating mass redistribution by snowdrift, preferential deposition and avalanching. We find this newly coupled model improves the spatial accuracy of winter balance simulations on Storglaciären, Sweden, while retaining versatility and a low computational cost. Accumulation on Storglaciären is primarily driven by direct precipitation, which is locally increased due to small-scale orographic effects. Wind-driven snow transport leads to substantial deposition in the accumulation zone and slight erosion in the ablation zone. Avalanching is the smallest contributor to winter balance, but cannot be neglected. The role of mass transporting processes in maintaining the current mass equilibrium on Storglaciären highlights the necessity to understand the links between climatic predictors and accumulation in order to accurately assess climate sensitivity.

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Section: Discussionmentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

Section: Digital Elevation Modelmentioning

confidence: 99%

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Spatial variability in winter mass balance on Storglaciären modelled with a terrain-based approach

2022

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“…However, it has low accuracy and resolution and, hence, is inapplicable to scenarios with high DEM requirements. Precision measurement is the measurement and recording of the ground elevation using measuring instruments such as the global positioning system (GPS) [16,17] and a total station [18]. The former uses GPS receivers to track data and differential technology, with the advantages of relatively low measurement costs and precise local area elevation [19]; however, it is affected by GPS signal errors and accuracy limitations.…”

Section: Introductionmentioning

confidence: 99%

Improving the Accuracy of Urban Waterlogging Simulation: A Novel Computer Vision-Based Digital Elevation Model Refinement Approach for Roads and Densely Built-Up Areas

Yang,

Huang,

Wang

et al. 2023

Remote Sensing

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Urban waterlogging is a natural disaster that occurs in developed cities globally and has inevitably become severe due to urbanization, densification, and climate change. The digital elevation model (DEM) is an important component of urban waterlogging risk prediction. However, previous studies generally focused on optimizing hydrological models, and there is a potential improvement in DEM by fusing remote sensing data and hydrological data. To improve the DEM accuracy of urban roads and densely built-up areas, a multisource data fusion approach (MDF-UNet) was proposed. Firstly, Fuzhou city was taken as an example, and the satellite remote sensing images, drainage network, land use, and DEM data of the study area were collected. Secondly, the U-Net model was used to identify buildings using remote sensing images. Subsequently, a multisource data fusion (MDF) method was adopted to reconstruct DEM by fusing the buildings identification results, land use, and drainage network data. Then, a coupled one-dimensional (1D) conduit drainage and two-dimensional (2D) hydrodynamic model was constructed and validated. Finally, the simulation results of the MDF-UNet approach were compared with the raw DEM data, inverse distance weighting (IDW), and MDF. The results indicated that the proposed approach greatly improved the simulation accuracy of waterlogging points by 29%, 53%, and 12% compared with the raw DEM, IDW, and MDF. Moreover, the MDF-UNet method had the smallest median value error of 0.08 m in the inundation depth simulation. The proposed method demonstrates that the credibility of the waterlogging model and simulation accuracy in roads and densely built-up areas is significantly improved, providing a reliable basis for urban waterlogging prevention and management.

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“…In order to calculate the glacier mass balance, different methods can be applied (Diolaiuti et al 2001;Zemp et al, 2013;Beedle et al, 2014, Mercer, 2018): from direct measurements of ablation and accumulation at individual points and the interpolation between them (Kaser et al,2003;Fisher, 2011) to indirect geodetic, as the use of satellite images and DEMs (Mercer, 2010;Zemp et al,2010;Nistor, 2014;), and geophysical methods (Pavan et al, 2000;Booth et al, 2013;Godio and Rege, 2015). One of the geophysical techniques to monitor the state and evolution of a glacier is the Ground Penetrating Radar (GPR) (Forte et al, 2014;Dossi et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Recent evolution of Marmolada glacier (Dolomites, Italy) by means of ground and airborne GPR surveys

Santin

Colucci²,

Žebre

et al. 2019

Remote Sensing of Environment

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A 10-year-long evolution of ice thickness and volume of the Marmolada glacier is presented.Quantitative measurements have been performed by using two different Ground Penetrating Radar (GPR) datasets. A ground-based survey using two different ground-coupled systems equipped with 100 MHz and 35 MHz antennas was performed in 2004. In 2015 the dataset was collected by using a helicopter-borne step frequency GPR equipped with a 100 MHz antenna. Through a critical discussion of the two different methodologies, we show how both approaches are useful to estimate the ice volume within a glacier, as well as its morphological characteristics and changes with time, even if datasets are acquired in different periods of the year.The observed 2004-2014 ice volume reduction of the Marmolada glacier is equal to about 30%, while the area covered by ice decreased by about 22%. The glacier is now split in several separated units. It is very likely that the fragmentation of the Marmolada glacier observed in the period 2004-2014 was accelerated due to irregular karst topography. By applying the observed 2004-2014 ice-melting trend 2 for the future, the Marmolada glacier will likely disappear by the year 2050. Only few isolated very small and thin ice patches will eventually survive due to avalanche feeding at the foot of the northfacing cliffs. However, the Marmolada glacier might behave slightly different compared to glaciers on non-karstic terrains owing to prevalently vertical subglacial karst drainage, though this aspect on glacier behaviour is still not fully understood.

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A DEM of the 2010 surface topography of Storglaciären, Sweden

Cited by 3 publications

References 27 publications

Spatial variability in winter mass balance on Storglaciären modelled with a terrain-based approach

Spatial variability in winter mass balance on Storglaciären modelled with a terrain-based approach

Improving the Accuracy of Urban Waterlogging Simulation: A Novel Computer Vision-Based Digital Elevation Model Refinement Approach for Roads and Densely Built-Up Areas

Recent evolution of Marmolada glacier (Dolomites, Italy) by means of ground and airborne GPR surveys

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