Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 12, issue 4
Articles | Volume 12, issue 4
https://doi.org/10.5194/essd-12-2679-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-2679-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 4
Data description paper
 | 
06 Nov 2020
Data description paper |  | 06 Nov 2020

Tropical cyclones vertical structure from GNSS radio occultation: an archive covering the period 2001–2018

Elżbieta Lasota, Andrea K. Steiner, Gottfried Kirchengast, and Riccardo Biondi

Viewed

Total article views: 4,898 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,994 787 117 4,898 352 122 120
  • HTML: 3,994
  • PDF: 787
  • XML: 117
  • Total: 4,898
  • Supplement: 352
  • BibTeX: 122
  • EndNote: 120
Views and downloads (calculated since 18 Jun 2020)
Cumulative views and downloads (calculated since 18 Jun 2020)

Viewed (geographical distribution)

Total article views: 4,898 (including HTML, PDF, and XML) Thereof 4,413 with geography defined and 485 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Apr 2025
Download
Short summary
In this work, we provide a comprehensive archive of tropical cyclone vertical structure for the period 2001–2018. The tropical cyclone best tracks are co-located in time and space with high-vertical-resolution atmospheric profiles (temperature, pressure, humidity and refractivity) from radio occultations and with climatological profiles. This dataset can be used to analyze the inner vertical thermodynamic structure of tropical cyclones and the pre-cyclone environment.
Read more
Share
Altmetrics
Final-revised paper
Preprint