A random forest approach to quality-checking automatic snow-depth sensor measurements

Articles | Volume 17, issue 12

https://doi.org/10.5194/tc-17-5317-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-17-5317-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 12

Research article

|

15 Dec 2023

Research article |

| 15 Dec 2023

Giulia Blandini, Francesco Avanzi, Simone Gabellani, Denise Ponziani, Hervé Stevenin, Sara Ratto, Luca Ferraris, and Alberto Viglione

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Short summary

Automatic snow depth data are a valuable source of information for hydrologists, but they also...