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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 …
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] Soil and Water Assessment Tool (SWAT)-informed deep learning for streamflow forecasting with remote sensing and in situ precipitation and discharge …
In order to anticipate residual errors and improve accuracy while reducing uncertainties, this
work integrates the long short-term memory (LSTM) with the Soil and Water Assessment …
work integrates the long short-term memory (LSTM) with the Soil and Water Assessment …
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 …
[HTML][HTML] Evaluating precipitation corrections to enhance high-alpine hydrological modeling
Gridded meteorological data products often fall short in accurately capturing the amount of
precipitation and its patterns in regions characterized by high elevations and complex …
precipitation and its patterns in regions characterized by high elevations and complex …
[HTML][HTML] A combined data assimilation and deep learning approach for continuous spatio-temporal SWE reconstruction from sparse ground tracks
Our understanding of the impact of climate change on water availability and natural hazards
in high-mountain regions is limited due to the spatial and temporal scarcity of ground …
in high-mountain regions is limited due to the spatial and temporal scarcity of ground …
Evaluating Precipitation Corrections to Enhance High-Alpine Hydrological Modeling for Hydropower
Gridded meteorological data products often fall short in accurately capturing the amount of
precipitation and its patterns in regions characterized by high elevations and complex …
precipitation and its patterns in regions characterized by high elevations and complex …
Spatio-temporal snow data assimilation with the ICESat-2 laser altimeter
The satellite laser altimeter ICESat-2 provides accurate surface elevation observations
across the globe. Where a high-resolution DEM is available, we can use these …
across the globe. Where a high-resolution DEM is available, we can use these …
Ensemble-based data assimilation improves hyperresolution snowpack simulations in forests.
Snowpack dynamics play a key role in controlling hydrological and ecological processes at
various scales, but snow monitoring remains problematic. Data assimilation techniques are …
various scales, but snow monitoring remains problematic. Data assimilation techniques are …