Intercomparison of four algorithms for detecting tropical cyclones using ERA5

Bourdin, Stella; Fromang, Sébastien; Dulac, William; Cattiaux, Julien; Chauvin, Fabrice

doi:https://doi.org/10.5194/gmd-15-6759-2022

Articles | Volume 15, issue 17

https://doi.org/10.5194/gmd-15-6759-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-6759-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 17

Methods for assessment of models

|

06 Sep 2022

Methods for assessment of models |

| 06 Sep 2022

Intercomparison of four algorithms for detecting tropical cyclones using ERA5

Stella Bourdin, Sébastien Fromang, William Dulac, Julien Cattiaux, and Fabrice Chauvin

Data sets

Bourdin et al. 2022, Intercomparison of Four Tropical Cyclones Detection Algorithms on ERA5 - Code and Data (Version v1)l Cyclones Detection Algorithms on ERA5 -- Code and Data (Version v1) Stella Bourdin https://doi.org/10.5281/zenodo.6424432

DynamicoPy v0.6 (0.6) Stella Bourdin https://doi.org/10.5281/zenodo.7015245

Video abstract

Vidéo Abstract for "Intercomparison of Four Tropical Cyclones Detection Algorithms on ERA5" Stella Bourdin https://doi.org/10.5446/58323

Short summary

When studying tropical cyclones in a large dataset, one needs objective and automatic procedures to detect their specific pattern. Applying four different such algorithms to a reconstruction of the climate, we show that the choice of the algorithm is crucial to the climatology obtained. Mainly, the algorithms differ in their sensitivity to weak storms so that they provide different frequencies and durations. We review the different options to consider for the choice of the tracking methodology.