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Global - Daily High-Resolution Climate projections - 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.

Reference Thomas Noël, Harilaos Loukos, Dimitri Defrance, Mathieu Vrac, Guillaume Levavasseur, A high-resolution downscaled CMIP5 projections dataset of essential surface climate variables over the globe coherent with the ERA5 reanalysis for climate change impact assessments, Data in Brief, Volume 35, 2021, 106900, ISSN 2352-3409,

Data and Resources

Additional Info

Field Value
Author Harilaos Loukos
Maintainer Oasis Hub
Last Updated March 25, 2021, 21:44 (Etc/UTC)
Created March 15, 2021, 16:30 (Etc/UTC)
Time range From: 1951 To: 2100
Origin Places

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