A database of deep convective systems derived from the intercalibrated meteorological geostationary satellite fleet and the TOOCAN algorithm (2012–2020)

Fiolleau, Thomas; Roca, Rémy

doi:https://doi.org/10.5194/essd-16-4021-2024

Articles | Volume 16, issue 9

https://doi.org/10.5194/essd-16-4021-2024

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

https://doi.org/10.5194/essd-16-4021-2024

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

Articles | Volume 16, issue 9

Data description paper

|

12 Sep 2024

Data description paper |

| 12 Sep 2024

A database of deep convective systems derived from the intercalibrated meteorological geostationary satellite fleet and the TOOCAN algorithm (2012–2020)

Thomas Fiolleau and Rémy Roca

Data sets

TOOCAN Database V2.08 – Tracking Of Organized Convection Algorithm using a 3-dimensional segmentation Thomas Fiolleau and Remy Roca https://doi.org/10.14768/1be7fd53-8b81-416e-90d5-002b36b30cf8

CACATOES database V1.04 Thomas Fiolleau and Remy Roca https://doi.org/10.14768/98569eea-d056-412d-9f52-73ea07b9cdca

GEOgrid_coldcloud : a 2012-2020 global homogenized infrared dataset from a fleet of geostationary satellites Thomas Fiolleau and Remy Roca https://doi.org/10.14768/93f138f5-a553-4691-96ed-952fd32d2fc3

Video supplement

Animation of convective situation segmented by TOOCAN from HIMAWARI IR data over the Western Pacific region in October 2015 Thomas Fiolleau https://doi.org/10.5446/68200

Short summary

This paper presents a database of tropical deep convective systems over the 2012–2020 period, built from a cloud-tracking algorithm called TOOCAN, which has been applied to homogenized infrared observations from a fleet of geostationary satellites. This database aims to analyze the tropical deep convective systems, the evolution of their associated characteristics over their life cycle, their organization, and their importance in the hydrological and energy cycle.