Articles | Volume 8, issue 1
https://doi.org/10.5194/amt-8-149-2015
© Author(s) 2015. 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-8-149-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Hydrometeor classification from polarimetric radar measurements: a clustering approach
J. Grazioli
Environmental Remote Sensing Laboratory (LTE), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Laboratory of Geographic Information Systems (LASIG), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Environmental Remote Sensing Laboratory (LTE), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
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Saved (final revised paper)
Latest update: 23 Nov 2024
Short summary
A new approach for hydrometeor classification from polarimetric radar measurements is proposed. It takes adavantage of clustering techniques to objectively determine the number of hydrometeor classes that can be reliably identified. The proposed method is tested using observations from an X-band polarimetric radar in different regions and evaluated by comparison with existing algorithms and with measurements from a ground-based 2D video disdrometer (providing 2-D views of falling hydrometeors).
A new approach for hydrometeor classification from polarimetric radar measurements is proposed....