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Operational snow-hydrological modeling for Switzerland
The seasonal evolution of snow cover has significant impacts on the hydrological cycle and
microclimate in mountainous regions. However, snow processes also play a crucial role in …
microclimate in mountainous regions. However, snow processes also play a crucial role in …
Using snow depth observations to provide insight into the quality of snowpack simulations for regional-scale avalanche forecasting
The combination of numerical weather prediction and snowpack models has potential to
provide valuable information about snow avalanche conditions in remote areas. However …
provide valuable information about snow avalanche conditions in remote areas. However …
Evaluation of snow depth retrievals from ICESat-2 using airborne laser-scanning data
The unprecedented precision of the altimetry satellite ICESat-2 and the increasing
availability of high-resolution elevation datasets open new opportunities to measure snow …
availability of high-resolution elevation datasets open new opportunities to measure snow …
[HTML][HTML] The multiple snow data assimilation system (MuSA v1. 0)
E Alonso-González, K Aalstad… - Geoscientific Model …, 2022 - gmd.copernicus.org
Accurate knowledge of the seasonal snow distribution is vital in several domains including
ecology, water resources management, and tourism. Current spaceborne sensors provide a …
ecology, water resources management, and tourism. Current spaceborne sensors provide a …
Spatio-temporal information propagation using sparse observations in hyper-resolution ensemble-based snow data assimilation
Data assimilation techniques that integrate available observations with snow models have
been proposed as a viable option to simultaneously help constrain model uncertainty and …
been proposed as a viable option to simultaneously help constrain model uncertainty and …
Improving fully distributed snowpack simulations by map** perturbations of meteorological forcings inferred from particle filter assimilation of snow monitoring data
M Oberrauch, B Cluzet, J Magnusson… - Water Resources …, 2024 - Wiley Online Library
Snow plays a crucial role in the water balance of mountainous regions by affecting the
timing and magnitude of runoff and, thus, water availability and flood hazards. However …
timing and magnitude of runoff and, thus, water availability and flood hazards. However …
Exploring how Sentinel-1 wet-snow maps can inform fully distributed physically based snowpack models
Distributed energy and mass balance snowpack models at sub-kilometric scale have
emerged as a tool for snow-hydrological forecasting over large areas. However, their …
emerged as a tool for snow-hydrological forecasting over large areas. However, their …
[HTML][HTML] Snow depth time series Generation: Effective simulation at multiple time scales
Snow depth (SD) is a crucial variable of the water, energy, and nutrient cycles, impacting
water quantity and quality, the occurrence of floods and droughts, snow-related hazards …
water quantity and quality, the occurrence of floods and droughts, snow-related hazards …
SnowPappus v1. 0, a blowing-snow model for large-scale applications of Crocus snow scheme
M Baron, A Haddjeri, M Lafaysse… - Geoscientific Model …, 2023 - gmd.copernicus.org
Wind-induced snow transport has a strong influence on snow spatial variability especially at
spatial scales between 1 and 500 m in alpine environments. Thus, the evolution of snow …
spatial scales between 1 and 500 m in alpine environments. Thus, the evolution of snow …
Using Sentinel-1 wet snow maps to inform fully-distributed physically-based snowpack models
Distributed energy and mass-balance snowpack models at sub-kilometric scale have
emerged as a tool for snow-hydrological forecasting over large areas. However, their …
emerged as a tool for snow-hydrological forecasting over large areas. However, their …