Articles | Volume 20, issue 5
https://doi.org/10.5194/tc-20-2773-2026
https://doi.org/10.5194/tc-20-2773-2026
Research article
 | 
19 May 2026
Research article |  | 19 May 2026

Assimilation of synthetic observations of radar backscatters at Ku-band improves SWE estimates

Nicolas R. Leroux, Vincent Vionnet, Courtney Bayer, Julien Meloche, Arlan Dirkson, Franck Lespinas, Mark Buehner, Marco Carrera, Benoit Montpetit, Bernard Bilodeau, Maria Abrahamowicz, and Chris Derksen

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Short summary
This study evaluates the assimilation of Ku-band radar backscatter into a multilayer snowpack model to support the upcoming Terrestrial Snow Mass Mission. Synthetic experiments were conducted at Arctic, continental, and alpine sites over three winters using a particle filter. Results show that assimilating backscatter improves estimates of snow water equivalent, depth, and vertical snow properties, laying the groundwork for future satellite missions focused on radar-based snow monitoring.
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