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Scripts accompanying the paper: Keune et al. "ERA5–Drought: Global drought indices based on ECMWF reanalysis." Scientific Data 12, 616 (2025).

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ERA5-Drought:
Global drought indices based on ECMWF reanalysis

This repository contains the python code related to

Keune J, Barnard C, Damasio da Costa E, Wetterhall F and Di Giuseppe F. ERA5–Drought: Global drought indices based on ECMWF reanalysis, Sci Data 12, 616 (2025). https://doi.org/10.1038/s41597-025-04896-y.

It consists of six jupyter notebooks that reproduce Figures 2–7 of the above publication. In addition, the notebook create_barren_mask.ipynb creates a barren area mask (glaciers, deserts, etc) using ERA5 data.

The ERA5-Drought data can be downloaded via this link.

This code is published under a CC-BY 4.0 license, letting others distribute, remix, tweak, and build upon this work, as long as they credit this work for the original creation. If you use this code, please cite the above publication.

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Scripts accompanying the paper: Keune et al. "ERA5–Drought: Global drought indices based on ECMWF reanalysis." Scientific Data 12, 616 (2025).

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