Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 14, issue 6
Articles | Volume 14, issue 6
https://doi.org/10.5194/amt-14-4565-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-14-4565-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 6
Research article
 | 
21 Jun 2021
Research article |  | 21 Jun 2021

Evaluation of micro rain radar-based precipitation classification algorithms to discriminate between stratiform and convective precipitation

Andreas Foth, Janek Zimmer, Felix Lauermann, and Heike Kalesse-Los

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Latest update: 22 Nov 2024
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Short summary
In this paper, we present two micro rain radar-based approaches to discriminate between stratiform and convective precipitation. One is based on probability density functions and the other one is an artificial neural network classification. Both methods agree well, giving similar results. However, the results of the artificial neural network are more reasonable since it is also able to distinguish an inconclusive class, in turn making the stratiform and convective classes more reliable.
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Special issue
Tropospheric profiling (ISTP11) (AMT/ACP inter-journal SI)