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Hydrological modeling of the Silala River basin. 2. Validation of hydrological fluxes with contemporary data
A companion paper in this Special Issue reviewed the development of a hydrological model
of the Silala River basin, using long‐term data (1969–1992) to determine the basin's water …
of the Silala River basin, using long‐term data (1969–1992) to determine the basin's water …
Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication
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 …
and model sophistication. This offers new opportunities to estimate multiple components of …
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)
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 …
Improving fully distributed snowpack simulations by map** perturbations of meteorological forcings inferred from particle filter assimilation of snow monitoring data
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 …
[HTML][HTML] A genetic particle filter scheme for univariate snow cover assimilation into Noah-MP model across snow climates
Accurate snowpack simulations are critical for regional hydrological predictions, snow
avalanche prevention, water resource management, and agricultural production, particularly …
avalanche prevention, water resource management, and agricultural production, particularly …
Rain-on-snow responses to warmer Pyrenees: a sensitivity analysis using a physically based snow hydrological model
Climate warming is changing the magnitude, timing, and spatial patterns of mountain
snowpacks. A warmer atmosphere may also induce precipitation phase shifts, resulting in a …
snowpacks. A warmer atmosphere may also induce precipitation phase shifts, resulting in a …
Analyzing the sensitivity of a blowing snow model (SnowPappus) to precipitation forcing, blowing snow, and spatial resolution
Accurate snow cover modeling is a high-stakes issue for mountain regions. Alpine snow
evolution and spatial variability result from a multitude of complex processes including …
evolution and spatial variability result from a multitude of complex processes including …
[HTML][HTML] Propagating information from snow observations with CrocO ensemble data assimilation system: a 10-years case study over a snow depth observation …
The mountainous snow cover is highly variable at all temporal and spatial scales. Snowpack
models only imperfectly represent this variability, because of uncertain meteorological …
models only imperfectly represent this variability, because of uncertain meteorological …
Modeling snowpack dynamics and surface energy budget in boreal and subarctic peatlands and forests
The snowpack has a major influence on the land surface energy budget. Accurate
simulation of the snowpack energy and radiation budget is challenging due to, eg, effects of …
simulation of the snowpack energy and radiation budget is challenging due to, eg, effects of …