Land data assimilation: Harmonizing theory and data in land surface process studies

X Li, F Liu, C Ma, J Hou, D Zheng, H Ma… - Reviews of …, 2024 - Wiley Online Library
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 …

Toward snow cover estimation in mountainous areas using modern data assimilation methods: A review

C Largeron, M Dumont, S Morin, A Boone… - Frontiers in Earth …, 2020 - frontiersin.org
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 …

Passive microwave remote sensing of snow depth: Techniques, challenges and future directions

S Tanniru, R Ramsankaran - Remote Sensing, 2023 - mdpi.com
Monitoring snowpack depth is essential in many applications at regional and global scales.
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 …

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 …

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 …

Improving the spatial distribution of snow cover simulations by assimilation of satellite stereoscopic imagery

C Deschamps‐Berger, B Cluzet… - Water Resources …, 2022 - Wiley Online Library
Moutain snow cover is highly variable both spatially and temporally and has a tremendous
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

HL Wander, RQ Thomas, TN Moore, ME Lofton… - …, 2024 - Wiley Online Library
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 …

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 …

[HTML][HTML] Sensitivity of snow models to the accuracy of meteorological forcings in mountain environments

S Terzago, V Andreoli, G Arduini… - Hydrology and Earth …, 2020 - hess.copernicus.org
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 …