Data and code for: Antecedent groundwater depletion amplifies hydrological drought severity: aquifer-river connectivity and cascading recovery in the 2022 Po Plain extreme event

This repository contains the Python source code and input data required to reproduce all figures in the manuscript: “Groundwater depletion and recovery in the 2022 Po Plain extreme drought event”Shuhan Yang, Weijie Zhao, Giovanni Ravazzani, Hui Qian, Yixin Liu, Zhiming CaoHydrology and Earth System Sciences (egusphere-2026-4113, under review) The figures_code_data/ folder contains one subfolder per figure (Fig. 1–11 and Figs. S1–S4). Each subfolder includes the Python script and all required input data files needed to reproduce that figure independently. Fig. 1 (study area map) requires external DEM tiles (NASA SRTM GL1) and shapefiles (HydroRIVERS) that cannot be redistributed; instructions for downloading them are provided in the script header.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-11
DOI
https://doi.org/10.5281/zenodo.24136628
Primary Topic
Hydrology and Drought Analysis
Type
article
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article

Data and code for: Antecedent groundwater depletion amplifies hydrological drought severity: aquifer-river connectivity and cascading recovery in the 2022 Po Plain extreme event

Shuhan Yang
Zenodo (CERN European Organization for Nuclear Research)
Hydrology and Drought Analysis
article

Data and code for: Antecedent groundwater depletion amplifies hydrological drought severity: aquifer-river connectivity and cascading recovery in the 2022 Po Plain extreme event

Shuhan Yang
article en

Abstract

This repository contains the Python source code and input data required to reproduce all figures in the manuscript: “Groundwater depletion and recovery in the 2022 Po Plain extreme drought event”Shuhan Yang, Weijie Zhao, Giovanni Ravazzani, Hui Qian, Yixin Liu, Zhiming CaoHydrology and Earth System Sciences (egusphere-2026-4113, under review) The figures_code_data/ folder contains one subfolder per figure (Fig. 1–11 and Figs. S1–S4). Each subfolder includes the Python script and all required input data files needed to reproduce that figure independently. Fig. 1 (study area map) requires external DEM tiles (NASA SRTM GL1) and shapefiles (HydroRIVERS) that cannot be redistributed; instructions for downloading them are provided in the script header.

Zenodo (CERN European Organization for Nuclear Research)
Politecnico di Milano (IT)
Hydrology and Drought Analysis
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