Publications associées à 3-D simulations of snow transport, erosion and deposition using a Large Eddy Simulation coupled with a Lagrangian Stochastic Model

Thermal Conductivity of Snow on Arctic Sea Ice

Henning Löwe, Marc Schneebeli Zeugin, David Nicholas Wagner

Snow significantly impacts the seasonal growth of Arctic sea ice due to its thermally insulating properties. Various measurements and parametrizations of thermal properties exist, but an assessment of the entire seasonal evolution of thermal conductivity a ...

2023

Polar oceans and sea ice in a changing climate

Julia Schmale, Hélène Paule Angot, Jenny Thomas

Polar oceans and sea ice cover 15% of the Earth’s ocean surface, and the environment is changing rapidly at both poles. Improving knowledge on the interactions between the atmospheric and oceanic realms in the polar regions, a Surface Ocean–Lower Atmospher ...

2023

Towards a fully physical representation of snow on Arctic sea ice using a 3D snow-atmosphere model

Michael Lehning, Adrien Michel, Mahdi Jafari, Océane Hames, Nander Wever, Marc Schneebeli Zeugin, David Nicholas Wagner

In high elevation Alpine areas, characterised by high snow accumulation and radiation-driven melt processes, the formation of peculiar ablation features called sun cups can be observed. Sun cups likely influence the energy and mass balance of the wet snowp ...

2023

Wind Transport of Snow Impacts Ka- and Ku-band Radar Signatures on Arctic Sea Ice

Marc Schneebeli Zeugin, David Nicholas Wagner

Wind transport alters the snow topography and microstructure on sea ice through snow redistribution controlled by deposition and erosion. The impact of these processes on radar signatures is poorly understood. Here, we examine the effects of snow redistrib ...

2022

Modeling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0.

Michael Lehning, Mahdi Jafari, Océane Hames, Marc Schneebeli Zeugin, David Nicholas Wagner

The remoteness and extreme conditions of the Arctic make it a very difficult environment to investigate. In these polar regions covered by sea ice, the wind is relatively strong due to the absence of obstructions and redistributes a large part of the depos ...

COPERNICUS GESELLSCHAFT MBH2022

On the Capability of Wall-Modeled Large Eddy Simulations to Predict Particle Dispersion in Complex Turbulent Flows

Mohamed Aly Hashem Mohamed Sayed

Predicting particle transport in turbulent flows has a plethora of applications, some of which are: the transport of atmospheric aerosols, the deposition of blood cells in the arteries of human bodies and the atomization of fuel droplets in combustion cham ...

EPFL2022

Overview of the MOSAiC expedition—Atmosphere

Julia Schmale, Ivo Fabio Beck, Radiance Flore Aurore Calmer, Michael Lonardi, Hélène Paule Angot, Markus Frey, Thomas Krumpen

With the Arctic rapidly changing, the needs to observe, understand, and model the changes are essential. To support these needs, an annual cycle of observations of atmospheric properties, processes, and interactions were made while drifting with the sea ic ...

2022

Modelling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0.

Michael Lehning, Mahdi Jafari, Océane Hames, Marc Schneebeli Zeugin, David Nicholas Wagner

The remoteness and extreme conditions of the Arctic make it a very difficult environment to investigate. In these regions, the wind has a substantial effect and redistributes a large part of the snow, which complicates precipitation estimates. Moreover, th ...

2021

Evolution and spatial variability of small-scale surface roughness of snow and sea ice during MOSAiC

Michael Lehning, Marc Schneebeli Zeugin, Dávid Wágner, David Nicholas Wagner

Small-scale surface roughness (on an area of about 0.5 m x 0.5 m) affects remote sensing retrieval algorithms and radiative transfer models, yet data of snow and ice surface roughness over sea ice is scarce. Microwave emissivity, important for satellite re ...

2021

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3-D simulations of snow transport, erosion and deposition using a Large Eddy Simulation coupled with a Lagrangian Stochastic Model

Thermal Conductivity of Snow on Arctic Sea Ice

Polar oceans and sea ice in a changing climate

Coupling of submeso-scale motion with near-surface turbulence over patchy snow cover

Towards a fully physical representation of snow on Arctic sea ice using a 3D snow-atmosphere model

Wind Transport of Snow Impacts Ka- and Ku-band Radar Signatures on Arctic Sea Ice

Modeling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0.

On the Capability of Wall-Modeled Large Eddy Simulations to Predict Particle Dispersion in Complex Turbulent Flows

Overview of the MOSAiC expedition—Atmosphere

Modelling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0.

Evolution and spatial variability of small-scale surface roughness of snow and sea ice during MOSAiC

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Chattez avec Graph Search

Thermal Conductivity of Snow on Arctic Sea Ice

Coupling of submeso-scale motion with near-surface turbulence over patchy snow cover

Wind Transport of Snow Impacts Ka- and Ku-band Radar Signatures on Arctic Sea Ice

On the Capability of Wall-Modeled Large Eddy Simulations to Predict Particle Dispersion in Complex Turbulent Flows

Polar oceans and sea ice in a changing climate

Evolution and spatial variability of small-scale surface roughness of snow and sea ice during MOSAiC

Modeling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0.

Modelling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0.

Overview of the MOSAiC expedition—Atmosphere

Towards a fully physical representation of snow on Arctic sea ice using a 3D snow-atmosphere model