Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 1
Articles | Volume 17, issue 1
https://doi.org/10.5194/amt-17-235-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-235-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 1
Research article
 | 
15 Jan 2024
Research article |  | 15 Jan 2024

A new power-law model for μ–Λ relationships in convective and stratiform rainfall

Christos Gatidis, Marc Schleiss, and Christine Unal

Viewed

Total article views: 1,734 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,316 351 67 1,734 68 93
  • HTML: 1,316
  • PDF: 351
  • XML: 67
  • Total: 1,734
  • BibTeX: 68
  • EndNote: 93
Views and downloads (calculated since 03 Aug 2023)
Cumulative views and downloads (calculated since 03 Aug 2023)

Viewed (geographical distribution)

Total article views: 1,734 (including HTML, PDF, and XML) Thereof 1,719 with geography defined and 15 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Oct 2025
Download
Short summary
A common method to retrieve important information about the microphysical structure of rain (DSD retrievals) requires a constrained relationship between the drop size distribution parameters. The most widely accepted empirical relationship is between μ and Λ. The relationship shows variability across the different types of rainfall (convective or stratiform). The new proposed power-law model to represent the μ–Λ relation provides a better physical interpretation of the relationship coefficients.
Read more
Share