Temperature

CMIP6 Data

This collection of future climate change temperature data is downloadable in NetCDF (.nc) time-series format, between at least 1981 to 2100 (start year varies upon Global Circulation Model/GCM). The time-series covers daily rates of the variable, generally as a daily mean reading unless stated otherwise, in cases of daily minimum or maximum.

Metadata

• Scenarios available: Historical (<1981 - <2016), SSP126 (2015 - 2100), SSP460 (2015 - 2100)
• Variant: r1i1p1f1 (R = Realisation, I = Initialisation, P= Physics, F= Forcing)
• Frequency: Daily
• Units: K
• Extent: Global
• Spatial Resolution: 250KM
• Version Release: October 2019

For further information, please read the CMIP guidance documentation here.

The Climate Data Factory

A high-resolution global climate projection dataset in daily rates, obtained by statistically downscaling climate projections from the CMIP5 experiment using the ERA5 reanalysis from the Copernicus Climate Change Service. This global dataset has a spatial resolution of 0.25°x 0.25°, comprises 21 climate models and includes 5 surface variables at daily resolution: air temperature (mean, minimum, and maximum), precipitation, solar radiation and mean near-surface wind speed.
Two greenhouse gas emissions scenarios are available: one with mitigation policy (RCP4.5) and one without mitigation (RCP8.5).
The downscaling method is a Quantile Mapping method (QM) called the Cumulative Distribution Function transform (CDF-t) method that was first used for wind values and is now referenced in dozens of peer-reviewed publications. The data processing includes quality control of metadata according to the climate modeling community standards and value checking for outlier detection.