Tropical cyclones vertical structure from GNSS radio occultation: an archive covering the period 2001-2018
Elżbieta Lasota , Andrea K. Steiner , Gottfried Kirchengast , Ricardo Biondi
AbstractTropical cyclones (TC) are natural destructive phenomena, which affect wide tropical and subtropical areas every year. Although the correct prediction of their tracks and intensity has improved over recent years, the knowledge about their structure and development is still insufficient. The Global Navigation Satellite System (GNSS) radio occultation (RO) technique can provide a better understanding of the TC because it enables us to probe the atmospheric vertical structure with high accuracy, high vertical resolution and global coverage in any weather conditions. In this work, we create an archive of co-located TC best tracks and RO profiles covering the period 2001-2018 and providing a complete view of the storms since the pre-cyclone status to the cyclone disappearance. We collected 1822 TC best tracks from the International Best Track Archive for Climate Stewardship and co-located them with 48 313 RO profiles from seven satellite missions processed by theWegener Center for Climate and Global Change. We provide information about location and intensity of the TC, RO vertical profiles co-located within 3 h and 500 km from the TC eye centre, and exact information about temporal and spatial distance between the TC centre and the RO mean tangent point. A statistical analysis shows how the archive covers all the ocean basins and all the intensity categories well. We finally demonstrate the application of this dataset to investigate the vertical structure for one TC example case. All the data files, separately for each TC, are publicly available in NetCDF format at https://doi.org/10.25364/WEGC/TC-RO1.0:2020.1 (Lasota et al., 2020).
|Journal series||Earth System Science Data, ISSN 1866-3508, e-ISSN 1866-3516, (N/A 200 pkt)|
|Publication size in sheets||0.7|
|License||Journal (articles only); published final; ; with publication|
|Score||= 200.0, 09-02-2021, ArticleFromJournal|
|Publication indicators||= 0; = 0; : 2018 = 3.111; : 2019 = 9.197 (2) - 2019=9.612 (5)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.