An ANN Approach to Determine the Radar Cross Section of Non-Rotationally Symmetric Rain Drops

Franz Teschl*, Merhala Thurai, Sophie Steger, Michael Schönhuber, Reinhard Teschl

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Non-rotationally symmetric rain drops can often be observed in turbulent weather situations. The main reason is the occurrence of asymmetric drop oscillation modes that are induced due to winds and collisions of drops. In recent studies, scattering parameters of thousands of individual drops were determined for C- and S-Band weather radar frequencies, by fully reconstructing the drops that were observed during turbulent weather situations with two-dimensional video disdrometers (2DVD). The computational effort, however, was considerable. In this study, therefore, a feed forward neural network was trained to predict the radar cross section of rain drops only by using a few selected characteristic parameters of the drops as input, all of which can be extracted from 2DVD data. Based on the comprehensive dataset for test, training, and validation, it could be shown that the reported radar cross sections are in general accurate by a fraction of a dB, while the computational effort is negligible.
Original languageEnglish
Title of host publication17th European Conference on Antennas and Propagation, EuCAP 2023
Number of pages5
ISBN (Electronic)9788831299077
DOIs
Publication statusPublished - 2023
Event17th European Conference on Antennas and Propagation: EuCAP 2023 - Florenz, Italy
Duration: 26 Mar 202331 Mar 2023

Publication series

Name17th European Conference on Antennas and Propagation, EuCAP 2023

Conference

Conference17th European Conference on Antennas and Propagation
Abbreviated titleEuCAP 2023
Country/TerritoryItaly
CityFlorenz
Period26/03/2331/03/23

Keywords

  • 2D Video Disdrometer
  • Artificial Neural Networks (ANN)
  • C-band
  • hydrometeors
  • radar cross section (RCS)
  • rain drop shapes
  • S-band
  • Scattering calculation

ASJC Scopus subject areas

  • Instrumentation
  • Hardware and Architecture
  • Computer Networks and Communications

Fields of Expertise

  • Information, Communication & Computing

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