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Future Temperature Variability Hazard

Temperature variability

A global dataset at 0.1° resolution of eight temperature 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

Temperature variability dataset specifications

Section titled “Temperature variability dataset specifications”
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 temperature variability hazard indicators are based on surface daily maximum, minimum, mean temperature. For each temperature (mean, max, min) and diurnal temperature range, the dataset includes the following two statistics.

  • Annual mean: The annual mean of surface daily mean, maximum, minimum temperature, and diurnal temperature range (4 indicators). The unit is degrees Celsius.
  • Annual standard deviation: The annual standard deviation of surface daily mean, maximum, minimum temperature, and diurnal temperature range (4 indicators). The unit is degrees Celsius.
Format NetCDF, other formats possible depending on data volume

The Future Temperature Variability dataset provides climate indicators that quantify the mean state and variability of surface air temperatures under historical and future climate scenarios. Each metric is calculated using downscaled daily temperature simulations from downscaled CMIP6 global climate models, enabling robust analysis across spatial and temporal scales.

Future temperature variability dataset availability

Section titled “Future temperature variability dataset availability”

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.