R Mott, V Vionnet, T Grünewald - Frontiers in Earth Science, 2018 - frontiersin.org
The temporal evolution of seasonal snow cover and its spatial variability in environments such as mountains, prairies or polar regions is strongly influenced by the interactions …
To date, there is no definitive approach to map snow depth in mountainous areas from spaceborne sensors. Here, we examine the potential of very-high-resolution (VHR) optical …
The interaction of mountain terrain with meteorological processes causes substantial temporal and spatial variability in snow accumulation and ablation. Processes impacted by …
AH Azizi, F Akhtar, J Kusche, B Tischbein… - Journal of …, 2024 - Elsevier
Accurate estimation of snow-covered area (SCA) is vital for effective water resource management, especially in snowmelt-dependent regions like the Kabul River Basin (KRB). It …
Multi-objective hydrological model calibration can represent a valuable solution to reduce model equifinality and parameter uncertainty. The Soil and Water Assessment Tool (SWAT) …
We present results from snow-on and snow-off airborne-scanning LiDAR measurements over a 53 km 2 area in the southern Sierra Nevada. We found that snow depth as a function …
In mountains with seasonal snow cover, the effects of climate change on snowpack will be constrained by landscape‐vegetation interactions with the atmosphere. Airborne lidar …
Snow properties and their changes are crucial to better understanding of hydrological processes, soil thermal regimes, and surface energy balances. Reliable data and …
F Hanzer, K Helfricht, T Marke, U Strasser - The Cryosphere, 2016 - tc.copernicus.org
In this study, the fully distributed, physically based hydroclimatological model AMUNDSEN is set up for catchments in the highly glacierized Ötztal Alps (Austria, 558 km 2 in total). The …