This package contains the data and code used in the paper by Lerat and Vaze (2025), Communications Earth & Environment, in review.
The data provided in this package is in the data/floods folder and includes
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major_floods.csv: List of major floods in Australia.
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sites_info.csv: List of gauging stations.
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streamflow_data_sites_info.csv: Additional information related to upstream/downstream flow propagation between sites.
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flood_data_v5.zip: List of flood events and associated data including peak flow, maximum 10 days runoff and results of flood frequency analysis.
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flood_data_censored_v5.zip: Same data with flood frequency results using a censored fit where the lowest 20% of annual maximums are left censored.
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propag_data.csv: Data on flood propagation from site to site during the 2022 flood.
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streamflow_data_138110.csv: Streamflow data during the 2022 flood for site 138110. Similar data is available for sites 202001, 203010, 203014.
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awap_data.nc: Gridded rainfall data during the 2022 flood.
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awra_v6_data.nc: Gridded soil moisture data during the 2022 flood.
The code used to generate the figures of the paper is provided as separate script for each figure:
- map_plot.py: Script to generate Figure 1 (map).
- propag_plot.py: Script to generate Figure 2 (peak time informations).
- scatter_plot.py: Script to generate Figure 3 (scatter plots).
- regional_floods_maps.py: Script to generate Figure 4 (maps of regional flood events).
- surprise_plot.py: Script to generate Figure 5 (statistics of the surprise index).
- regional_floods_stats.py: Script to generate Figures from the supplementary material (statistics related to regional flood events).
This project is licensed under the MIT License, which allows for free use, modification, and distribution of the code under the terms of the license.
For proper citation of this project, please refer to the CITATION.cff file, which provides guidance on how to cite the software and relevant publications.