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Land data assimilation: Harmonizing theory and data in land surface process studies
Data assimilation plays a dual role in advancing the “scientific” understanding and serving
as an “engineering tool” for the Earth system sciences. Land data assimilation (LDA) has …
as an “engineering tool” for the Earth system sciences. Land data assimilation (LDA) has …
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 …
Passive microwave remote sensing of snow depth: Techniques, challenges and future directions
Monitoring snowpack depth is essential in many applications at regional and global scales.
Space-borne passive microwave (PMW) remote sensing observations have been widely …
Space-borne passive microwave (PMW) remote sensing observations have been widely …
[HTML][HTML] The multiple snow data assimilation system (MuSA v1. 0)
E Alonso-González, K Aalstad… - Geoscientific Model …, 2022 - gmd.copernicus.org
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
M Oberrauch, B Cluzet, J Magnusson… - Water Resources …, 2024 - Wiley Online Library
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 …
57 years (1960–2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m of altitude)
Y Lejeune, M Dumont, JM Panel… - Earth System …, 2019 - essd.copernicus.org
In this paper, we introduce and provide access to daily (1960–2017) and hourly (1993–
2017) datasets of snow and meteorological data measured at the Col de Porte site, 1325 m …
2017) datasets of snow and meteorological data measured at the Col de Porte site, 1325 m …
Improving the spatial distribution of snow cover simulations by assimilation of satellite stereoscopic imagery
Moutain snow cover is highly variable both spatially and temporally and has a tremendous
impact on ecosystems and human activities. Numerical models provide continuous …
impact on ecosystems and human activities. Numerical models provide continuous …
Data assimilation experiments inform monitoring needs for near‐term ecological forecasts in a eutrophic reservoir
Ecosystems around the globe are experiencing changes in both the magnitude and
fluctuations of environmental conditions due to land use and climate change. In response …
fluctuations of environmental conditions due to land use and climate change. In response …
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 …
[HTML][HTML] Sensitivity of snow models to the accuracy of meteorological forcings in mountain environments
Snow models are usually evaluated at sites providing high-quality meteorological data, so
that the uncertainty in the meteorological input data can be neglected when assessing …
that the uncertainty in the meteorological input data can be neglected when assessing …