Global Acceleration of Compound Flood Risks Through Fluvial-Tidal Interactions in a Warming Climate
Abstract
.├── Figure1/ # Global sea-level trends & time series (20 estuaries)│ ├── figure1a.py # Script: Generate spatial maps│ ├── figure1b.py # Script: Generate trend lines│ ├── trend_analysis/ # Data: Processed raster data for water levels│ ├── major_basins_10k.asc # Data: Basin boundary definitions│ └── output/ # Output: Generated .png/.pdf figures│├── Figure2/ # Projected HTF evolution (SSP5-8.5)│ ├── plot_htf_timeseries.py # Script: Plot historical vs. future HTF│ └── [data_files] # Data: Processed frequency datasets│├── Figure3/ # Model performance evaluation (KGE metrics)│ ├── plot_kge_map.py # Script: Global performance map│ └── station_data/ # Data: Shapefiles/CSVs with station KGE scores│├── Figure4/ # Annual max streamflow trends (FDR verification)│ ├── calc_mann_kendall.py # Script: MK test implementation│ ├── calc_fdr_wilks.py # Script: Field Significance (Wilks 2016)│ └── [raster_data] # Data: 1955–2024 streamflow grids│├── Figure5/ # Fluvial Flooding (FF) days projection│ ├── plot_ff_trends.py # Script: Time-series plotting for 20 basins│ └── [cmip6_data] # Data: Processed CMIP6 FF frequency│├── Figure6/ # Spatial heterogeneity (FF vs. HTF intensification)│ ├── compare_growth_rates.py # Script: Visualize growth rate differences│ └── [summary_stats] # Data: Intensification metrics│├── Figure7/ # Compound Flood Risk (Joint Probability)│ ├── calc_joint_prob.py # Script: Calculate daily p(cf)│ └── [prob_data] # Data: Concurrent event probabilities│├── Figure8/ # Hydrodynamic assessment (Amplification)│ ├── plot_inundation_map.py # Script: Map Pearl River Estuary inundation│ ├── plot_bar_charts.py # Script: Compare Single vs. Compound areas│ └── results/ # Data: Hydrodynamic simulation outputs (Note: Full model excluded)│├── Figure9/ # Methodology Schematic│ └── schematic_plot.py # Script/Files for the coupling framework diagram│├── supplementary/ # Supplementary Figures (S1–S10) & Tables│ ├── dependence_analysis/ # Data/Scripts: Kendall's τ lag correlation│ ├── validation/ # Data/Scripts: Rx7day proxy vs. Runoff│ └── sensitivity/ # Data/Scripts: Parameter sensitivity plots│├── LICENSE # MIT License└── README.md # This file
Fields of Study & Subjects
Flood Risk Assessment and Management
Coastal and Marine Dynamics
Climate variability and models
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 January 2026