2012
DOI: 10.1155/2012/321649
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Applying a Mesoscale Atmospheric Model to Svalbard Glaciers

Abstract: The mesoscale atmospheric model WRF is used over three Svalbard glaciers. The simulations are done with a setup of the model corresponding to the state-of-the-art model for polar conditions, Polar WRF, and it was validated using surface observations. The ERA-Interim reanalysis was used for boundary forcing and the model was used with three nested smaller domains, 24 and 8 km, and 2.7 km resolution. The model was used for a two-year period as well as for a more detailed study using 3 summer and winter months. I… Show more

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Cited by 45 publications
(80 citation statements)
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“…The model is forced with 3-hourly meteorological time series of temperature, precipitation, cloud cover and relative humidity from the Ny-Ålesund weather station (eKlima.no; Norwegian Meteorological Institute). Elevation lapse rates for temperature are calculated using output from the Weather Research and Forecast (WRF) model (Claremar et al, 2012), while the precipitation lapse rate is taken from Van Pelt and Kohler (2015); zero lapse rates are assumed for cloud cover and relative humidity. Surface runoff is modelled on a 100 m × 100 m grid.…”
Section: Surface Runoff and Subglacial Discharge Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…The model is forced with 3-hourly meteorological time series of temperature, precipitation, cloud cover and relative humidity from the Ny-Ålesund weather station (eKlima.no; Norwegian Meteorological Institute). Elevation lapse rates for temperature are calculated using output from the Weather Research and Forecast (WRF) model (Claremar et al, 2012), while the precipitation lapse rate is taken from Van Pelt and Kohler (2015); zero lapse rates are assumed for cloud cover and relative humidity. Surface runoff is modelled on a 100 m × 100 m grid.…”
Section: Surface Runoff and Subglacial Discharge Modelmentioning
confidence: 99%
“…In previous modelling work ( Van der Veen, 2002;Benn et al, 2007;Amundson and Truffer, 2010;Nick et al, 2010;Cook et al, 2012;Krug et al, 2014Krug et al, , 2015, the dynamics of ice masses have been simulated using continuum models, in which the continuum space is discretised and includes processes of mass and energy balance. In addition to the lack of process understanding, continuum models cannot explicitly model fracture but must use simple parameterisations such as damage variables or phenomenological calving criteria.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the optimal choice of diffusion scheme, its strength, and its influence on simulated precipitation and therefore glacier CMB are beyond the scope of this paper and have not been investigated fully for our area of interest and model configuration. The simulation of near-surface meteorological fields by WRF over glacier surfaces has been found to be relatively insensitive to the choice of physical parameterizations (Claremar et al, 2012); however, the extent to which modelled CMB is dependent on the model physics, the choice of numerics, and the spatial resolution of the finest domain represents an important uncertainty that will be explored in a future study. The mean proportion of debris covered-area on Karakoram glaciers is estimated to be 18-22 % (Scherler et al, 2011;Hewitt, 2011), which is higher than the pan-Himalayan average of ∼ 10 % (Bolch et al, 2012).…”
Section: Remarks and Perspectives For Future Researchmentioning
confidence: 99%
“…Dynamical downscaling using high-resolution regional atmospheric climate models (RCMs) has proven to be a good method to represent climate at 5-10-km resolution. Moreover, RCMs can be specifically adapted to simulate the climate and surface mass balance of glaciated regions, such as the Antarctic ice sheet (Lenaerts et al 2012c;Van Wessem et al 2014b), but also of smaller partly glaciated regions, such as Greenland (Fettweis 2007;Ettema et al 2010), Patagonia (Lenaerts et al 2014), and Svalbard (Claremar et al 2012;Lang et al 2015).…”
Section: Introductionmentioning
confidence: 99%