2006
DOI: 10.1175/jhm522.1
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Snow Distribution and Melt Modeling for Mittivakkat Glacier, Ammassalik Island, Southeast Greenland

Abstract: A physically based snow-evolution modeling system (SnowModel) that includes four submodels-the Micrometeorological Model (MicroMet), EnBal, SnowPack, and SnowTran-3D-was used to simulate five full-year evolutions of snow accumulation, distribution, sublimation, and surface melt on the Mittivakkat Glacier, in southeast Greenland. Model modifications were implemented and used 1) to adjust underestimated observed meteorological station solid precipitation until the model matched the observed Mittivakkat Glacier w… Show more

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Cited by 78 publications
(96 citation statements)
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“…SnowModel (Liston and Elder, 2006a), is a spatiallydistributed snow-evolution, ice melt, and runoff modeling system designed to be applicable over a wide range of snow and glacier landscapes, and climates found around the world, where snow and ice variations play an important role in hydrological cycling (Mernild et al, 2006a;Mernild and Liston, 2010). For a detailed description of SnowModel, including its subprograms and tests see Liston and Elder (2006a, b), Liston et al (2008), Liston and Hiemstra (2008), and Mernild and Liston (2010): MicroMet is a quasi-physically based meteorological distribution model, which defines the meteorological forcing conditions, EnBal calculates the surface energy exchanges, including melt, SnowPack simulates heat-and mass-transfer processes and snow-depth and water equivalent evolution, and SnowTran-3D is a blowing-snow model that accounts for snow redistribution by wind.…”
Section: Snowmodel and Model Simulationsmentioning
confidence: 99%
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“…SnowModel (Liston and Elder, 2006a), is a spatiallydistributed snow-evolution, ice melt, and runoff modeling system designed to be applicable over a wide range of snow and glacier landscapes, and climates found around the world, where snow and ice variations play an important role in hydrological cycling (Mernild et al, 2006a;Mernild and Liston, 2010). For a detailed description of SnowModel, including its subprograms and tests see Liston and Elder (2006a, b), Liston et al (2008), Liston and Hiemstra (2008), and Mernild and Liston (2010): MicroMet is a quasi-physically based meteorological distribution model, which defines the meteorological forcing conditions, EnBal calculates the surface energy exchanges, including melt, SnowPack simulates heat-and mass-transfer processes and snow-depth and water equivalent evolution, and SnowTran-3D is a blowing-snow model that accounts for snow redistribution by wind.…”
Section: Snowmodel and Model Simulationsmentioning
confidence: 99%
“…Seasonal and annual observations on the Mittivakkat Glacier include: winter, summer, and net mass-balance Hasholt, 2004, 2008), freshwater runoff (e.g., Hasholt, 1980;Hasholt andMernild, 2004, 2008), and sediment transport (Hasholt and Walling, 1992;Busskamp and Hasholt, 1996;. Modeling studies for this region include seasonal and annual climate processes (Mernild and Liston, 2010), snow cover distribution (Hasholt et al, 2003;Mernild et al, 2006a), glacier surface mass-balance (Mernild et al, 2006a(Mernild et al, , 2008b, and runoff Mernild et al, 2008b). This collection of extensive observations and model results from the Mittivakkat Glacier catchment was used to simulate the terrestrial surface runoff for the Sermilik Fjord (the study does not include ocean fluxes).…”
Section: Introductionmentioning
confidence: 99%
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“…Particularly along the margin of larger ice caps, persistent katabatic winds become often strong enough to effectively remove snow from the surface and re-accumulate the eroded snow mass within the surrounding areas (e.g. Boon et al, 2010;Mernild et al, 2006). Once snow particles become mobile, they can be advected over long distances by the mean flow, while influencing the turbulent structure of the atmospheric boundary layer.…”
Section: Introductionmentioning
confidence: 99%
“…MicroMet and SnowModel have been used to distribute meteorological variables and evolve snow distributions over a wide range of spatial scales (the grid increments range from 10 m to 10 km, while the spatial domains range from hundreds of metres to pan-Arctic); the models have been applied over a variety of complex landscapes, including the mountains of Colorado, Wyoming, Idaho, Arctic Alaska, Svalbard, central Norway and Greenland (e.g. Liston & Sturm, 1998Greene et al, 1999;Liston et al, 1999Liston et al, , 2007Hiemstra et al, 2002Hiemstra et al, , 2006Prasad et al, 2001;Bruland et al, 2004;Mernild et al, 2006Mernild et al, , 2007. In steep alpine environments, complex wind fields can be generated and used to drive SnowModel using regional atmospheric models (e.g.…”
Section: Introductionmentioning
confidence: 99%