Hazard datasets#
Hazard datasets refer to geospatial data representing the physical intensity and frequency of natural phenomena that may cause damage and losses. This section presents some of the most common and recent datasets used for hazard characterisation. The CCDR risk screening tools focus primarily on hydro-meteorological hazards, as these are directly influenced by climate change. Geophysical hazards are included here for reference and completeness, as they are relevant to overall disaster risk management even if their frequency and intensity are not significantly affected by climate change.
See also
Hazard datasets developed by WB disaster risk projects have been placed in a special collection of the WB Development Data Hub: Risk Data Library Collection: HAZARD.
The most relevant datasets (updated, high resolution, scientific quality) representing extreme events and long-term hazards that were considered for inclusion in the CCDR and other risk-related activities across the Bank have been reviewed, explaining their pros and cons and providing suggestions for their use. Most datasets only cover the historical period (baseline); while a few of the hydro-met hazards also offer some hazard projections.
Some hazards are modelled using a probabilistic approach, providing a set of scenarios linked to hazard frequency for the period of reference. For the current data availability, this is the case for floods, storm surges, cyclones, heatwaves, and wildfires. Others, such as landslides, use a deterministic approach, providing an individual map of hazard intensity or susceptibility.
| GEOPHYSICAL | HYDRO-METEOROLOGICAL | ENVIRONMENTAL |
|---|---|---|
