disdrodb: an open-source Python package for standardized processing, sharing, and analysis of disdrometer data

Ghiggi, Gionata; Candolfi, Kim; Billault-Roux, Anne-Claire; Longchamp, Régis; Pham-Ba, Son; Weil, Charlotte; Uijlenhoet, Remko; Berne, Alexis

doi:10.5194/amt-19-4943-2026

Articles | Volume 19, issue 14

https://doi.org/10.5194/amt-19-4943-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-19-4943-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 14

Research article

| Highlight paper

|

30 Jul 2026

Research article | Highlight paper |

| 30 Jul 2026

disdrodb: an open-source Python package for standardized processing, sharing, and analysis of disdrometer data

Gionata Ghiggi, Kim Candolfi, Anne-Claire Billault-Roux, Régis Longchamp, Son Pham-Ba, Charlotte Weil, Remko Uijlenhoet, and Alexis Berne

Data sets

ltelab/disdrodb: v0.7.1 G. Ghiggi et al. https://doi.org/10.5281/zenodo.7680581

ltelab/DISDRODB-METADATA G. Ghiggi et al. https://doi.org/10.5281/zenodo.21389482

Model code and software

ghiggi/disdrodb-amt G. Ghiggi https://doi.org/10.5281/zenodo.21389750

Editorial statement

I support the designation of this manuscript as a Highlighted Paper. The work presents a substantial community resource that goes beyond a software implementation by establishing a standardized, reproducible framework for disdrometer data sharing and analysis. Given its potential to facilitate future observational, microphysical, and remote sensing studies, I expect it will have broad and lasting impact within the atmospheric sciences.