Articles | Volume 16, issue 12
https://doi.org/10.5194/essd-16-5643-2024
https://doi.org/10.5194/essd-16-5643-2024
Data description paper
 | 
10 Dec 2024
Data description paper |  | 10 Dec 2024

The PAZ polarimetric radio occultation research dataset for scientific applications

Ramon Padullés, Estel Cardellach, Antía Paz, Santi Oliveras, Douglas C. Hunt, Sergey Sokolovskiy, Jan-Peter Weiss, Kuo-Nung Wang, F. Joe Turk, Chi O. Ao, and Manuel de la Torre Juárez

Viewed

Total article views: 1,460 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
990 289 181 1,460 65 60
  • HTML: 990
  • PDF: 289
  • XML: 181
  • Total: 1,460
  • BibTeX: 65
  • EndNote: 60
Views and downloads (calculated since 04 Jun 2024)
Cumulative views and downloads (calculated since 04 Jun 2024)

Viewed (geographical distribution)

Total article views: 1,460 (including HTML, PDF, and XML) Thereof 1,405 with geography defined and 55 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 Jun 2025
Download
Short summary
This dataset provides, for the first time, combined observations of clouds and precipitation with coincident retrievals of atmospheric thermodynamics obtained from the same space-based instrument. Furthermore, it provides the locations of the ray trajectories of the observations along various precipitation-related products interpolated into them with the aim of fostering the use of such dataset in scientific and operational applications.
Share
Altmetrics
Final-revised paper
Preprint