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Future storms hazard dataset

A global dataset at 0.1° resolution of three storm indicators from five climate models under three Shared Socioeconomic Pathways (SSPs) scenarios from the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). The time resolution is annual from 1981 to 2100.

Specification Description
Experiment CMIP6
Scenarios Shared Socioeconomic Pathways SSP5-8.5, SSP2-4.5 and SSP1-2.6.
Climate models The 5 models selected by the ISIMIP initiative: IPSL-CM6A-LR, GFDL-ESM4, UKESM1-0-LL, MPI-ESM1-2-HR, MRI-ESM2-0.
Spatial resolution 0.1° x 0.1° Global
Temporal resolution Annual from 1981 to 2100
Indicators

The storm hazard indicators are based on surface daily maximum hourly wind speed:

  • Storm Severity Index: Annual count of daily storm impact values where daily maximum hourly wind speed exceeds both a local climatological threshold (98th percentile) and a physical damage threshold (5 m/s). For each day, the normalised wind exceedance is raised to the third power, reflecting the empirical relationship between wind intensity and damage. The unit is a numeric rating.
  • Extreme Wind Days: Annual count of days with daily maximum hourly wind speed above the 98th percentile threshold, indicating potential storm conditions. The unit is days.
  • Wind Intensity Index: Annual mean wind intensity on Extreme Wind days, calculated as the sum of daily maximum hourly wind speed exceeding the 98th percentile divided by the number of Extreme Wind days. The unit is m.s-1.
Format NetCDF, other formats possible depending on data volume.

The Future Storms dataset provides climate indicators that quantify the frequency and intensity of extreme wind events—such as severe wind gusts—under historical and future climate scenarios. Derived from daily maximum hourly wind speed data, the metrics are calculated using scientifically defined thresholds based on percentile exceedance, and are derived from downscaled outputs of CMIP6 global climate models, allowing consistent analysis across multiple spatial and temporal scales.

The dataset can be delivered according to your specifications, contact us for a quote.

See all our climate projection data for the other hazards and the weather variables.