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Toward snow cover estimation in mountainous areas using modern data assimilation methods: A review
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 …
where it governs the amount and timing of water availability in downstream areas. It is …
Data assimilation improves estimates of climate-sensitive seasonal snow
As the Earth warms, the spatial and temporal response of seasonal snow remains uncertain.
The global snow science community estimates snow cover and mass with information from …
The global snow science community estimates snow cover and mass with information from …
Data assimilation methods in the Earth sciences
Although remote sensing data are often plentiful, they do not usually satisfy the users' needs
directly. Data assimilation is required to extract information about geophysical fields of …
directly. Data assimilation is required to extract information about geophysical fields of …
A Landsat-era Sierra Nevada snow reanalysis (1985–2015)
A newly developed state-of-the-art snow water equivalent (SWE) reanalysis dataset over the
Sierra Nevada (United States) based on the assimilation of remotely sensed fractional snow …
Sierra Nevada (United States) based on the assimilation of remotely sensed fractional snow …
Exploring the impact of forcing error characteristics on physically based snow simulations within a global sensitivity analysis framework
Physically based models provide insights into key hydrologic processes but are associated
with uncertainties due to deficiencies in forcing data, model parameters, and model …
with uncertainties due to deficiencies in forcing data, model parameters, and model …
SMRT: An active–passive microwave radiative transfer model for snow with multiple microstructure and scattering formulations (v1. 0)
The Snow Microwave Radiative Transfer (SMRT) thermal emission and backscatter model
was developed to determine uncertainties in forward modeling through intercomparison of …
was developed to determine uncertainties in forward modeling through intercomparison of …
Multiscale assimilation of Advanced Microwave Scanning Radiometer–EOS snow water equivalent and Moderate Resolution Imaging Spectroradiometer snow cover …
Eight years (2002–2010) of Advanced Microwave Scanning Radiometer–EOS (AMSR‐E)
snow water equivalent (SWE) retrievals and Moderate Resolution Imaging …
snow water equivalent (SWE) retrievals and Moderate Resolution Imaging …
A particle batch smoother approach to snow water equivalent estimation
This paper presents a newly proposed data assimilation method for historical snow water
equivalent SWE estimation using remotely sensed fractional snow-covered area fSCA. The …
equivalent SWE estimation using remotely sensed fractional snow-covered area fSCA. The …
[HTML][HTML] Improving snow depth estimation by coupling HUT-optimized effective snow grain size parameters with the random forest approach
Snow cover is highly critical for global water and energy cycles because of its wide areal
extent, high reflectivity and good thermal insulation. Knowledge of snow conditions, eg …
extent, high reflectivity and good thermal insulation. Knowledge of snow conditions, eg …
Simulation of the microwave emission of multi-layered snowpacks using the dense media radiative transfer theory: The DMRT-ML model
DMRT-ML is a physically based numerical model designed to compute the thermal
microwave emission of a given snowpack. Its main application is the simulation of brightness …
microwave emission of a given snowpack. Its main application is the simulation of brightness …