Published July 2, 2026 | Version v1

Data for "Projection of Compound Flooding Risk along the Indian Coast under Anthropogenic Climate Change"

  • 1. ROR icon Helmholtz Centre for Environmental Research
  • 2. ROR icon Indian Institute of Technology Dhanbad

Description

Input Dataset

a) Hazard

  1. Meteorological tides: Joint Research Centre Data Catalogue and Earth System Grid Federation nodes (https://esgf-node.llnl.gov)
  2. Precipitation: ECMWF Data Store and Earth System Grid Federation nodes (https://esgf-node.llnl.gov)

b) Vulnerability

  1. HDI: Kummu et al. 2018 
  2. GDP: Wang & Sun, 2022
  3. Female population: WorldPop Research Program (https://hub.worldpop.org)
  4. Population above 65 years age: WorldPop Research Program (https://hub.worldpop.org)
  5. Population below 5 years age: WorldPop Research Program (https://hub.worldpop.org)

c) Exposure

  1. Urban land-use changes: He et al. 2023
  2. Total population: WorldPop Research Program (https://hub.worldpop.org) and Geographical Simulation and Optimization System (GeoSOS)

Output Dataset

The dataset used for producing the risk maps of coastal districts of India (Figure 4) in the manuscript are available in the CSV file.

Files

readme.txt

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Additional details

Software

Programming language
Python , R

References

  • Kummu, M., Taka, M. & Guillaume, J. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci Data 5, 180004 (2018). https://doi.org/10.1038/sdata.2018.4
  • Wang, T., Sun, F. Global gridded GDP data set consistent with the shared socioeconomic pathways. Sci Data 9, 221 (2022). https://doi.org/10.1038/s41597-022-01300-x
  • He, Wanru, et al. "Global urban fractional changes at a 1 km resolution throughout 2100 under eight scenarios of shared socioeconomic pathways (SSPs) and representative concentration pathways (RCPs)." Earth System Science Data 15.8 (2023): 3623-3639. https://doi.org/10.5194/essd-15-3623-2023