Review of snow data assimilation methods for hydrological, land surface, meteorological and climate models: Results from a cost harmosnow survey
J Helmert, A Şensoy Şorman, R Alvarado Montero… - Geosciences, 2018 - mdpi.com
The European Cooperation in Science and Technology (COST) Action ES1404
“HarmoSnow”, entitled,“A European network for a harmonized monitoring of snow for the …
“HarmoSnow”, entitled,“A European network for a harmonized monitoring of snow for the …
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 …
The impact of multi-sensor land data assimilation on river discharge estimation
River discharge is one of the most critical renewable water resources. Accurately estimating
river discharge with land surface models (LSMs) remains challenging due to the difficulty in …
river discharge with land surface models (LSMs) remains challenging due to the difficulty in …
Exploring the utility of machine learning-based passive microwave brightness temperature data assimilation over terrestrial snow in high mountain Asia
This study explores the use of a support vector machine (SVM) as the observation operator
within a passive microwave brightness temperature data assimilation framework (herein …
within a passive microwave brightness temperature data assimilation framework (herein …
[HTML][HTML] Estimating snow water storage in North America using CLM4, DART, and snow radiance data assimilation
Estimating Snow Water Storage in North America Using CLM4, DART, and Snow Radiance
Data Assimilation in: Journal of Hydrometeorology Volume 17 Issue 11 (2016) Jump to …
Data Assimilation in: Journal of Hydrometeorology Volume 17 Issue 11 (2016) Jump to …
Snow data assimilation‐constrained land initialization improves seasonal temperature prediction
We present the first systematic study to quantify the impact of land initialization on seasonal
temperature prediction in the Northern Hemisphere, emphasizing the role of land snow data …
temperature prediction in the Northern Hemisphere, emphasizing the role of land snow data …
Global soil moisture estimation by assimilating AMSR-E brightness temperatures in a coupled CLM4–RTM–DART system
Very few frameworks exist that estimate global-scale soil moisture through microwave land
data assimilation (DA). Toward this goal, such a framework has been developed by linking …
data assimilation (DA). Toward this goal, such a framework has been developed by linking …
Improving the radiance assimilation performance in estimating snow water storage across snow and land-cover types in North America
Continental-scale snow radiance assimilation (RA) experiments are conducted in order to
improve snow estimates across snow and land-cover types in North America. In the …
improve snow estimates across snow and land-cover types in North America. In the …
Improving the snow volume scattering algorithm in a microwave forward model by using ground-based remote sensing snow observations
L Dai, T Che, L Xiao, M Akynbekkyzy… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
Volume scattering (VS) estimation plays a critical role in microwave emission modeling of
the snowpack. However, it is challenging to obtain VS accurately for different frequencies by …
the snowpack. However, it is challenging to obtain VS accurately for different frequencies by …
Quantifying the observational requirements of a space-borne LiDAR snow mission
This study quantifies the level of observational accuracy required from a spaceborne light
detection and ranging (LiDAR) snow depth retrieval mission for enabling beneficial impacts …
detection and ranging (LiDAR) snow depth retrieval mission for enabling beneficial impacts …