Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 17
Articles | Volume 16, issue 17
https://doi.org/10.5194/gmd-16-5093-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-5093-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 17
Methods for assessment of models
 | 
06 Sep 2023
Methods for assessment of models |  | 06 Sep 2023

Use of threshold parameter variation for tropical cyclone tracking

Bernhard M. Enz, Jan P. Engelmann, and Ulrike Lohmann

Viewed

Total article views: 1,330 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
945 332 53 1,330 61 49
  • HTML: 945
  • PDF: 332
  • XML: 53
  • Total: 1,330
  • BibTeX: 61
  • EndNote: 49
Views and downloads (calculated since 12 Dec 2022)
Cumulative views and downloads (calculated since 12 Dec 2022)

Viewed (geographical distribution)

Total article views: 1,330 (including HTML, PDF, and XML) Thereof 1,270 with geography defined and 60 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Nov 2024
Download
Short summary
An algorithm to track tropical cyclones in model simulation data has been developed. The algorithm uses many combinations of varying parameter thresholds to detect weaker phases of tropical cyclones while still being resilient to false positives. It is shown that the algorithm performs well and adequately represents the tropical cyclone activity of the underlying simulation data. The impact of false positives on overall tropical cyclone activity is shown to be insignificant.
Read more