Articles | Volume 9, issue 9
https://doi.org/10.5194/amt-9-4425-2016
© 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/amt-9-4425-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Sep 2016
Research article |
| 08 Sep 2016
Hydrometeor classification through statistical clustering of polarimetric radar measurements: a semi-supervised approach
Environmental Remote Sensing Laboratory (LTE), École
Polytechnique Fédérale de Lausanne (EPFL), Lausanne,
Switzerland
Radar, Satellite and Nowcasting Department,
MeteoSwiss, Locarno-Monti, Switzerland
Jordi Figueras i Ventura
Radar, Satellite and Nowcasting Department,
MeteoSwiss, Locarno-Monti, Switzerland
Jacopo Grazioli
Environmental Remote Sensing Laboratory (LTE), École
Polytechnique Fédérale de Lausanne (EPFL), Lausanne,
Switzerland
Marco Gabella
Radar, Satellite and Nowcasting Department,
MeteoSwiss, Locarno-Monti, Switzerland
Urs Germann
Radar, Satellite and Nowcasting Department,
MeteoSwiss, Locarno-Monti, Switzerland
Alexis Berne
Environmental Remote Sensing Laboratory (LTE), École
Polytechnique Fédérale de Lausanne (EPFL), Lausanne,
Switzerland
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- Estimating the snowfall limit in alpine and pre-alpine valleys: A local evaluation of operational approaches M. Fehlmann et al. 10.1016/j.atmosres.2018.01.016
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Saved (preprint)
Latest update: 20 Nov 2024
Short summary
In this paper we propose a novel semi-supervised method for hydrometeor classification, which takes into account both the specificities of acquired polarimetric radar measurements and the presumed electromagnetic behavior of different hydrometeor types. The method has been applied on three datasets, each acquired by different C-band radar from the Swiss network, and on two X-band research radar datasets. The obtained classification is found to be of high quality.
In this paper we propose a novel semi-supervised method for hydrometeor classification, which...
