dataset · Global

Climate extreme indices and heat stress indicators derived from CMIP6 global climate projections

The dataset provides climate extreme indices related to temperature and precipitation as defined by the Expert Team on Climate Change Detection and Indices (ETCCDI), as well as selected heat stress indicators (HSI). The indices are provided for historical and future climate projections (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5) included in the Coupled Model Intercomparison Project Phase 6 (CMIP6) and used in the 6th Assessment Report of the Intergovernmental Panel on Climate Change (IPCC). This da

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Source details

Licence: other

Evidence quality: 34.9

Listed in cds public catalogue API on 2026-10-16; relevance/value screened (haiku).

Metadata checked: 2026-10-14T13:20:00.000Z

What's in it

Data offered docs-verified: ETCCDI climate extreme indices for temperature (e.g. frost days, summer days, tropical nights, warm spell duration, max daily Tmax/Tmin) · ETCCDI climate extreme indices for precipitation (e.g. maximum 1-day and 5-day precipitation, consecutive dry/wet days, heavy and very heavy precipitation days) · Heat stress indicators: heat index, Humidex, wet-bulb temperature, indoor UTCI, indoor wet-bulb globe temperature · Bias-adjusted heat stress indicators (ISIMIP3b method, WFDE5 reference) alongside unadjusted versions
Coverage docs-verified: Global · 1850 to 2300 for the whole dataset; shorter for most models and products
Resolution docs-verified: Spatial 0.5° x 0.5° to 2.8125° x 2.8125° depending on model; temporal yearly, monthly and daily
Update frequency docs-verified: No expected updates
Formats docs-verified: NetCDF-4
Access docs-verified: Licence: CMIP6 indicators dataset licence (CICERO). Cost not stated; CDS page shows Login/Register.

Useful for

Use cases llm-inferred: Overheating and heat-stress screening for new developments using projected tropical nights and heat index under SSP scenarios · Drainage and flood risk climate-change sensitivity using projected maximum 1-day and 5-day precipitation · Climate change context for FRA and civils design reports using projected extreme temperature and precipitation trends
Audience llm-inferred: climate risk consultants · drainage engineers · hydrologists · planners · environmental consultants

Limitations

Constraints llm-inferred: Global gridded data at 0.5° to 2.8125° resolution; not UK-specific and needs regional extraction or downscaling for local use · Heat stress indicators exclude wind and solar radiation, so they represent indoor or calm shaded conditions only · Temporal coverage is shorter for most models and products · No expected updates · Requires NetCDF handling skills; a catalogue entry rather than an MCP tool or API · Licence terms (CICERO) should be checked before client reuse

Evidence

Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.