Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 5
Articles | Volume 15, issue 5
https://doi.org/10.5194/amt-15-1333-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-15-1333-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 5
Research article
 | 
14 Mar 2022
Research article |  | 14 Mar 2022

Analytic characterization of random errors in spectral dual-polarized cloud radar observations

Alexander Myagkov and Davide Ori

Viewed

Total article views: 1,936 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,392 463 81 1,936 107 53 43
  • HTML: 1,392
  • PDF: 463
  • XML: 81
  • Total: 1,936
  • Supplement: 107
  • BibTeX: 53
  • EndNote: 43
Views and downloads (calculated since 18 Aug 2021)
Cumulative views and downloads (calculated since 18 Aug 2021)

Viewed (geographical distribution)

Total article views: 1,936 (including HTML, PDF, and XML) Thereof 1,864 with geography defined and 72 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
This study provides equations to characterize random errors of spectral polarimetric observations from cloud radars. The results can be used for a broad spectrum of applications. For instance, accurate error characterization is essential for advanced retrievals of microphysical properties of clouds and precipitation. Moreover, error characterization allows for the use of measurements from polarimetric cloud radars to potentially improve weather forecasts.
Read more
Special issue
Fusion of radar polarimetry and numerical atmospheric modelling...