Articles | Volume 10, issue 3
https://doi.org/10.5194/tc-10-1021-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-10-1021-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
On the assimilation of optical reflectances and snow depth observations into a detailed snowpack model
Luc Charrois
CORRESPONDING AUTHOR
Université Grenoble Alpes-CNRS, LGGE, UMR 5183, Grenoble, France
Météo-France/CNRS, CNRM UMR 3589, CEN, Grenoble, France
Emmanuel Cosme
Université Grenoble Alpes-CNRS, LGGE, UMR 5183, Grenoble, France
Marie Dumont
Météo-France/CNRS, CNRM UMR 3589, CEN, Grenoble, France
Matthieu Lafaysse
Météo-France/CNRS, CNRM UMR 3589, CEN, Grenoble, France
Samuel Morin
Météo-France/CNRS, CNRM UMR 3589, CEN, Grenoble, France
Quentin Libois
Université Grenoble Alpes-CNRS, LGGE, UMR 5183, Grenoble, France
Ghislain Picard
Université Grenoble Alpes-CNRS, LGGE, UMR 5183, Grenoble, France
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- Improving the estimation of snow depth in the Noah-MP model by combining particle filter and Bayesian model averaging Y. You et al. 10.1016/j.jhydrol.2022.128877
- A multilayer physically based snowpack model simulating direct and indirect radiative impacts of light-absorbing impurities in snow F. Tuzet et al. 10.5194/tc-11-2633-2017
- Simulation and Assimilation of Passive Microwave Data Using a Snowpack Model Coupled to a Calibrated Radiative Transfer Model Over Northeastern Canada F. Larue et al. 10.1029/2017WR022132
- Exploring the potential of thermal infrared remote sensing to improve a snowpack model through an observing system simulation experiment E. Alonso-González et al. 10.5194/tc-17-3329-2023
- Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites K. Aalstad et al. 10.5194/tc-12-247-2018
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- Propagating information from snow observations with CrocO ensemble data assimilation system: a 10-years case study over a snow depth observation network B. Cluzet et al. 10.5194/tc-16-1281-2022
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- Evaluating the performance of coupled snow–soil models in SURFEXv8 to simulate the permafrost thermal regime at a high Arctic site M. Barrere et al. 10.5194/gmd-10-3461-2017
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Latest update: 15 Nov 2024
Short summary
This study investigates the assimilation of optical reflectances, snowdepth data and both combined into a multilayer snowpack model. Data assimilation is performed with an ensemble-based method, the Sequential Importance Resampling Particle filter. Experiments assimilating only synthetic data are conducted at one point in the French Alps, the Col du Lautaret, over five hydrological years. Results of the assimilation experiments show improvements of the snowpack bulk variables estimates.
This study investigates the assimilation of optical reflectances, snowdepth data and both...