13 Nov 2023
 | 13 Nov 2023

Drop Size Distribution Retrieval Using Dual Frequency Polarimetric Weather Radars

Daniel Durbin, Yadong Wang, and Pao-Liang Chang

Abstract. Having knowledge of the drop size distribution (DSD) is of particular interest to researchers as it is widely applied to quantitative precipitation estimation (QPE) methods. Polarimetric radar measurements have previously been utilized to derive DSD curve characteristics frequently modeled as a gamma distribution. Likewise, approaches using dual frequency measurements have shown positive results. Both cases have relied on the need to constrain the relationship between the DSD parameters based on prior knowledge or assumptions of the collected data. This paper presents a methodology for retrieving the DSD parameters using the dual frequency and polarimetric nature of measurements from a unique data set taken at co-located S-band and C-band dual polarization radars. Using the reflectivity and differential phase measurements from each radar, an optimization routine employing particle swarm optimization (PSO) and T-Matrix computation of radar parameters is able to accurately retrieve the gamma distribution parameters without the constraints required in previous methods. Retrieved results are compared to known truth data collected using a network of OTT PARSIVEL disdrometers in Taiwan in order to assess the success of this procedure.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Daniel Durbin, Yadong Wang, and Pao-Liang Chang

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on egusphere-2023-2220', Vagner Castro, 11 Dec 2023
    • AC1: 'Reply on CC1', Daniel Durbin, 13 Dec 2023
  • RC1: 'Comment on egusphere-2023-2220', Anonymous Referee #1, 14 Dec 2023
    • AC2: 'Reply on RC1', Daniel Durbin, 02 Feb 2024
  • CC2: 'Comment on egusphere-2023-2220', Davide Ori, 18 Dec 2023
    • AC5: 'Reply on CC2', Daniel Durbin, 02 Feb 2024
  • RC2: 'Comment on egusphere-2023-2220', Anonymous Referee #2, 22 Dec 2023
    • AC3: 'Reply on RC2', Daniel Durbin, 02 Feb 2024
  • RC3: 'Comment on egusphere-2023-2220', Anonymous Referee #3, 03 Jan 2024
    • AC4: 'Reply on RC3', Daniel Durbin, 02 Feb 2024
Daniel Durbin, Yadong Wang, and Pao-Liang Chang
Daniel Durbin, Yadong Wang, and Pao-Liang Chang


Total article views: 367 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
257 78 32 367 14 15
  • HTML: 257
  • PDF: 78
  • XML: 32
  • Total: 367
  • BibTeX: 14
  • EndNote: 15
Views and downloads (calculated since 13 Nov 2023)
Cumulative views and downloads (calculated since 13 Nov 2023)

Viewed (geographical distribution)

Total article views: 361 (including HTML, PDF, and XML) Thereof 361 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
Latest update: 21 May 2024
Short summary
A method for determining Drop Size Distributions (DSDs) for rain using radar measurements from two frequencies at two polarizations is presented. Following some preprocessing and quality control, radar measurements are incorporated into a model which uses swarm intelligence to seek the most suitable DSD which would produce the input measures.