Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 15
Articles | Volume 17, issue 15
https://doi.org/10.5194/amt-17-4675-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-4675-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 15
Research article
 | 
13 Aug 2024
Research article |  | 13 Aug 2024

Improving the Gaussianity of radar reflectivity departures between observations and simulations using symmetric rain rates

Yudong Gao, Lidou Huyan, Zheng Wu, and Bojun Liu

Viewed

Total article views: 678 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
527 104 47 678 35 33
  • HTML: 527
  • PDF: 104
  • XML: 47
  • Total: 678
  • BibTeX: 35
  • EndNote: 33
Views and downloads (calculated since 19 Feb 2024)
Cumulative views and downloads (calculated since 19 Feb 2024)

Viewed (geographical distribution)

Total article views: 678 (including HTML, PDF, and XML) Thereof 659 with geography defined and 19 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Nov 2024
Download
Short summary
A symmetric error model built by symmetric rain rates handles the non-Gaussian error structure of the reflectivity error. The accuracy and linearization of rain rates can further improve the Gaussianity.
Read more