cloudbandPy 1.0: an automated algorithm for the detection of tropical–extratropical cloud bands

Pilon, Romain; Domeisen, Daniela I. V.

doi:https://doi.org/10.5194/gmd-17-2247-2024

Articles | Volume 17, issue 6

https://doi.org/10.5194/gmd-17-2247-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-17-2247-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 6

Model description paper

|

19 Mar 2024

Model description paper |

| 19 Mar 2024

cloudbandPy 1.0: an automated algorithm for the detection of tropical–extratropical cloud bands

Romain Pilon and Daniela I. V. Domeisen

Data sets

GPCP Version 3.2 Satellite-Gauge (SG) Combined Precipitation Data Set G. J. Huffman et al. https://doi.org/10.5067/MEASURES/GPCP/DATA304

ERA5 hourly data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

Model code and software

cloudbandPy (V1.0) Romain Pilon https://doi.org/10.5281/zenodo.7989795

Interactive computing environment

cloudbandPy (V1.0) Romain Pilon https://doi.org/10.5281/zenodo.7989795

Short summary

This paper introduces a new method for detecting atmospheric cloud bands to identify long convective cloud bands that extend from the tropics to the midlatitudes. The algorithm allows for easy use and enables researchers to study the life cycle and climatology of cloud bands and associated rainfall. This method provides insights into the large-scale processes involved in cloud band formation and their connections between different regions, as well as differences across ocean basins.