Articles | Volume 18, issue 4
https://doi.org/10.5194/amt-18-953-2025
https://doi.org/10.5194/amt-18-953-2025
Research article
 | 
26 Feb 2025
Research article |  | 26 Feb 2025

Cluster analysis of vertical polarimetric radio occultation profiles and corresponding liquid and ice water paths from Global Precipitation Measurement (GPM) microwave data

Jonas E. Katona, Manuel de la Torre Juárez, Terence L. Kubar, F. Joseph Turk, Kuo-Nung Wang, and Ramon Padullés

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-1278', Anonymous Referee #1, 09 Oct 2024
  • RC2: 'Comment on egusphere-2024-1278', Anonymous Referee #2, 15 Oct 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Jonas Katona on behalf of the Authors (23 Nov 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (27 Dec 2024) by Hui Shao
AR by Jonas Katona on behalf of the Authors (03 Jan 2025)  Manuscript 
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Short summary
Polarimetric radio occultations (PROs) use polarized radio signals from satellites to detect moisture and precipitation in Earth's atmosphere. By applying nonlinear regression and k-means cluster analysis to over 2 years of PRO and non-PRO data, this study shows how deviations from a refractivity model relate to vertical profiles of water vapor pressure (moisture) and that differences between components of PRO signals correlate directly with vertical profiles of water path (precipitation).
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