Articles | Volume 15, issue 2
Research article
20 Jan 2022
Research article |  | 20 Jan 2022

Evaluating cloud liquid detection against Cloudnet using cloud radar Doppler spectra in a pre-trained artificial neural network

Heike Kalesse-Los, Willi Schimmel, Edward Luke, and Patric Seifert


Total article views: 2,327 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,682 571 74 2,327 74 78
  • HTML: 1,682
  • PDF: 571
  • XML: 74
  • Total: 2,327
  • BibTeX: 74
  • EndNote: 78
Views and downloads (calculated since 07 Jun 2021)
Cumulative views and downloads (calculated since 07 Jun 2021)

Viewed (geographical distribution)

Total article views: 2,327 (including HTML, PDF, and XML) Thereof 2,247 with geography defined and 80 with unknown origin.
Country # Views %
  • 1


Latest update: 24 Jun 2024
Short summary
It is important to detect the vertical distribution of cloud droplets and ice in mixed-phase clouds. Here, an artificial neural network (ANN) previously developed for Arctic clouds is applied to a mid-latitudinal cloud radar data set. The performance of this technique is contrasted to the Cloudnet target classification. For thick/multi-layer clouds, the machine learning technique is better at detecting liquid than Cloudnet, but if lidar data are available Cloudnet is at least as good as the ANN.