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 …

The task of quantifying spatial and temporal variations in terrestrial water, energy, and
vegetation conditions is challenging due to the significant complexity and heterogeneity of …

Snow stores a significant amount of water in mountain regions. The decrease of water
storage in the snowpack can have relevant impacts on water supply for mountain and …

The beginning of the 21st century is marked by a rapid growth of land surface satellite data
and model sophistication. This offers new opportunities to estimate multiple components of …

Monitoring snowpack depth is essential in many applications at regional and global scales.
Space-borne passive microwave (PMW) remote sensing observations have been widely …

Accurate knowledge of the seasonal snow distribution is vital in several domains including
ecology, water resources management, and tourism. Current spaceborne sensors provide a …

Abstract Knowledge of irrigation is essential to support food security, manage depleting
water resources, and comprehensively understand the global water and energy cycles …

The accuracy of snow density in land surface model (LSM) simulations impacts the accuracy
of simulated terrestrial water and energy budgets. However, there has been little research …

Data assimilation techniques that integrate available observations with snow models have
been proposed as a viable option to simultaneously help constrain model uncertainty and …

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 …