Data assimilation plays a dual role in advancing the “scientific” understanding and serving
as an “engineering tool” for the Earth system sciences. Land data assimilation (LDA) has …

The spatial and temporal variation of the seasonal snowpack in mountain regions is
recognized as a clear knowledge gap for climate, ecology and water resources applications …

Snow cover in high-latitude and high-altitude regions has strong effects on the Earth's
climate, environmental processes and socio-economic activities. Over the last 50 years, the …

Notwithstanding the large availability of data and models, a consistent picture of the snow
cover extent and duration changes in global mountain areas is lacking for long-term trends …

Assessing past distributions, variability and trends in the mountain snow cover and its first-
order drivers, temperature and precipitation, is key for a wide range of studies and …

Accurate snowfall measurements are necessary for meteorology, hydrology, and climate
research. Typical uses include creating and calibrating gridded precipitation products, the …

Abstract The Water-Energy-Food Nexus (WEFN) is gaining attention as an important
approach to manage resources more holistically. Data availability, however, is a crucial …

Snowfall, snowpack, and snowmelt are among the processes with the greatest influence on
the water cycle in mountainous watersheds. Hydrological models may be significantly …

Seasonal snowpack is a key water resource and plays an important role in regional climate.
However, how seasonal snow mass is distributed over space and time is not fully …

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