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.
Authors
- Shuhan Yang
Institutions
- Politecnico di Milano (IT)
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
- Field-Weighted Citation Impact
- 0.00