Snow is a critically important and rapidly changing feature of the Arctic. However, snow-
cover and snowpack conditions change through time pose challenges for measuring and …

The snow cover is a key component of land surface hydrology, especially in mountain areas
where it governs the amount and timing of water availability in downstream areas. It is …

Precise measurements of snow structural parameters are crucial to understand the formation
of snowpacks by deposition and metamorphism and to characterize the stratigraphy for …

Knowing the timing and the evolution of the snow melting process is very important, since it
allows the prediction of (i) the snowmelt onset,(ii) the snow gliding and wet-snow …

The widely used detailed SNOWPACK model has undergone constant development over
the years. A notable recent extension is the introduction of a Richards equation (RE) solver …

For numerous hydrological applications, information on snow water equivalent (SWE) and
snow liquid water content (LWC) are fundamental. In situ data are much needed for the …

The combination of numerical weather prediction and snowpack models has potential to
provide valuable information about snow avalanche conditions in remote areas. However …

It is well understood that the distribution and quantity of liquid water in snow is relevant for
snow hydrology and avalanche forecasting, yet detecting and quantifying liquid water in …

Seasonal snow is an important component of Earth's hydrologic cycle and climate system,
yet it remains challenging to consistently and accurately measure snow depth and snow …

GEOphysical flow dynamics using pulsed Doppler radAR (GEODAR), a custom radar
system, images avalanches over the entire slope with high spatial and temporal resolution at …