Articles | Volume 17, issue 8
Research article
17 Aug 2023
Research article |  | 17 Aug 2023

Exploring the potential of thermal infrared remote sensing to improve a snowpack model through an observing system simulation experiment

Esteban Alonso-González, Simon Gascoin, Sara Arioli, and Ghislain Picard

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Time series of alpine snow surface radiative temperature maps from high precision thermal infrared imaging
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Earth Syst. Sci. Data Discuss.,,, 2024
Preprint under review for ESSD
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Future permafrost degradation under climate change in a headwater catchment of Central Siberia: quantitative assessment with a mechanistic modelling approach
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Rain-on-snow responses to warmer Pyrenees: a sensitivity analysis using a physically based snow hydrological model
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Spatio-temporal information propagation using sparse observations in hyper-resolution ensemble-based snow data assimilation
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Discipline: Snow | Subject: Data Assimilation
Large-scale snow data assimilation using a spatialized particle filter: recovering the spatial structure of the particles
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The Cryosphere, 16, 3489–3506,,, 2022
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A particle filter scheme for multivariate data assimilation into a point-scale snowpack model in an Alpine environment
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Cited articles

Aalstad, K., Westermann, S., Schuler, T. V., Boike, J., and Bertino, L.: Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites, The Cryosphere, 12, 247–270,, 2018. 
Aalstad, K., Westermann, S., and Bertino, L.: Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography. Remote Sens. Environ., 239, 111618,, 2020. 
Alonso-González, E. A.: ealonsogzl/MuSA: v1.0 GMD submission (v1.0), Zenodo [code],, 2022. 
Alonso-González, E., Gutmann, E., Aalstad, K., Fayad, A., Bouchet, M., and Gascoin, S.: Snowpack dynamics in the Lebanese mountains from quasi-dynamically downscaled ERA5 reanalysis updated by assimilating remotely sensed fractional snow-covered area, Hydrol. Earth Syst. Sci., 25, 4455–4471,, 2021. 
Alonso-González, E., Aalstad, K., Baba, M. W., Revuelto, J., López-Moreno, J. I., Fiddes, J., Essery, R., and Gascoin, S.: The Multiple Snow Data Assimilation System (MuSA v1.0), Geosci. Model Dev., 15, 9127–9155,, 2022. 
Short summary
Data assimilation techniques are a promising approach to improve snowpack simulations in remote areas that are difficult to monitor. This paper studies the ability of satellite-observed land surface temperature to improve snowpack simulations through data assimilation. We show that it is possible to improve snowpack simulations, but the temporal resolution of the observations and the algorithm used are critical to obtain satisfactory results.