Deep convection life cycle characteristics:  a database from the GoAmazon experiment

Lopes, Camila da Cunha; Albrecht, Rachel Ifanger; Uba, Douglas Messias; Biscaro, Thiago Souza; Saraiva, Ivan

doi:https://doi.org/10.5194/essd-17-5489-2025

Articles | Volume 17, issue 10

https://doi.org/10.5194/essd-17-5489-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-17-5489-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 10

Data description paper

|

17 Oct 2025

Data description paper |

| 17 Oct 2025

Deep convection life cycle characteristics: a database from the GoAmazon experiment

Camila da Cunha Lopes, Rachel Ifanger Albrecht, Douglas Messias Uba, Thiago Souza Biscaro, and Ivan Saraiva

Data sets

GoAmazon convective systems datasets (systems and systems_filtered) Camila Lopes https://doi.org/10.5281/zenodo.13732692

SIPAM radar data during GoAmazon T. S. Biscaro https://ftp.cptec.inpe.br/chuva/goamazon/experimental/level_0/eq_radar/esp_band_s/st_sipam/

Model code and software

uba/tathu: v1.0.0 D. Uba https://doi.org/10.5281/zenodo.17298147

Cclopes/Tathu: SIPAM Tracking Module on TATHU D. Uba https://doi.org/10.5281/zenodo.17297271

Short summary

This study utilized observations collected during the Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) experiment to create a database of storm and thunderstorm characteristics with weather radar and lightning measurements. These storms have different sizes and durations between the wet and dry seasons as well as throughout the day, with the most intense events occurring during the dry-season–wet-season transition. This database will be useful for future studies on Amazonian clouds.